MLFlow Hello World

Exploring MlFlow through Hello World experiments.

Note: this post is just a draft in progress. As of now, it consists of a collection of random notes.

Initial imports

# Standard imports
import os

# Third-party imports
import pandas as pd
import numpy as np

# AML imports
from azure.ai.ml import command, MLClient
from azure.identity import DefaultAzureCredential

Additional imports

### Multiple-metric and dataset imports
import time

from sklearn.model_selection import train_test_split
from sklearn.ensemble import RandomForestClassifier
from sklearn.metrics import precision_recall_curve, classification_report
import matplotlib.pyplot as plt

import mlflow
from mlflow.entities import Metric
from mlflow.tracking import MlflowClient
from mlflow.models import infer_signature

Connecting

# authenticate
credential = DefaultAzureCredential()

# Get a handle to the workspace
ml_client = MLClient.from_config (
    credential=credential
)

Found the config file in: /config.json

Logging details

First experiment: see why the MLflow job created by hello world notebook does not log code, etc. I assume this is because we need to use command and create a job through to the ml_client, as explained in the hello world notebook, under section running script as a job:

%%writefile hello_world_with_logs.py
import mlflow
from hello_world_core import hello_world, parse_args

def start_logging (args):
    # set name for logging
    mlflow.set_experiment("Hello World with logging")
    mlflow.start_run()
    mlflow.log_param ("name to log", args.name)
    
def finish_logging ():
    mlflow.end_run ()

def main():
    """Main function of the script."""
    args = parse_args ()
    start_logging (args)
    hello_world (args.name)
    finish_logging ()

if __name__ == "__main__":
    main()

Writing hello_world_with_logs.py

# configure job
job = command(
    inputs=dict(
        name="Jaume", # default value of our parameter
    ),
    code=f"./",  # location of source code: in this case, the root folder
    command="python hello_world_with_logs.py --name ${{inputs.name}}",
    environment="AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest",
    display_name="Hello World with logging and job",
)

# submit job
ml_client.create_or_update(job)

Found the config file in: /config.json
Uploading data_science (12.66 MBs): 100%|██████████| 12658976/12658976 [00:00<00:00, 18557482.88it/s]

Experiment	Name	Type	Status	Details Page
data_science	jolly_malanga_wgt7b8mb36	command	Starting	Link to Azure Machine Learning studio

Result

In the previous example there is one error: it seems that we cannot indicate an experiment name unless it is the same as the one indicated in the command function. Since we didn’t indicate any experiment name in that function, we try to do it now:

Fixing error

job = command(
    inputs=dict(
        name="Jaume", # default value of our parameter
    ),
    code=f"./",  # location of source code: in this case, the root folder
    command="python hello_world_with_logs.py --name ${{inputs.name}}",
    environment="AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest",
    display_name="Hello World with logging and job",
    experiment_name="Hello World with logging",
)

# submit job
ml_client.create_or_update(job)

Uploading data_science (12.66 MBs): 100%|██████████| 12664739/12664739 [00:00<00:00, 18366160.15it/s]

Experiment	Name	Type	Status	Details Page
Hello World with logging	joyful_brick_2zb5xmvktl	command	Starting	Link to Azure Machine Learning studio

Result

• A job is created with experiment name “Hello world with logging” and latest job name “Hello World with logging and job”, which is the display_name indicated in the command function (see screenshot below)
• Both code and logs are stored as part of this job.

- 

Logging experiments

Links:

https://mlflow.org/docs/2.0.0/tracking.html#logging-functions

https://mlflow.org/docs/2.0.0/tracking.html#managing-experiments-and-runs-with-the-tracking-service-api

%%writefile hello_world_experiments.py
import mlflow
from hello_world_core import hello_world, parse_args
    
def main():
    """Main function of the script."""
    
    names = ["John", "Mary", "Ana"]
    for idx, name in enumerate(names):
        mlflow.create_experiment (str(idx))
        mlflow.start_run()
        mlflow.log_param ("name to log", name)
        mlflow.log_metric ("length", len(name))
        mlflow.end_run ()
        hello_world (name)
    
if __name__ == "__main__":
    main()

Writing hello_world_experiments.py

# Standard imports
import os

# Third-party imports
import pandas as pd

# AML imports
from azure.ai.ml import command, MLClient
from azure.identity import DefaultAzureCredential

# authenticate
credential = DefaultAzureCredential()

# Get a handle to the workspace
ml_client = MLClient.from_config (
    credential=credential
)

# configure job
job = command(
    code=f"./",  # location of source code: in this case, the root folder
    command="python hello_world_experiments.py",
    environment="AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest",
    display_name="Hello World with experiments",
)

# submit job
ml_client.create_or_update(job)

Found the config file in: /config.json
Class AutoDeleteSettingSchema: This is an experimental class, and may change at any time. Please see https://aka.ms/azuremlexperimental for more information.
Class AutoDeleteConditionSchema: This is an experimental class, and may change at any time. Please see https://aka.ms/azuremlexperimental for more information.
Class BaseAutoDeleteSettingSchema: This is an experimental class, and may change at any time. Please see https://aka.ms/azuremlexperimental for more information.
Class IntellectualPropertySchema: This is an experimental class, and may change at any time. Please see https://aka.ms/azuremlexperimental for more information.
Class ProtectionLevelSchema: This is an experimental class, and may change at any time. Please see https://aka.ms/azuremlexperimental for more information.
Class BaseIntellectualPropertySchema: This is an experimental class, and may change at any time. Please see https://aka.ms/azuremlexperimental for more information.
Uploading data_science (12.75 MBs): 100%|██████████| 12749662/12749662 [00:00<00:00, 15505064.12it/s]

Experiment	Name	Type	Status	Details Page
data_science	witty_glove_syh5ltdkh6	command	Starting	Link to Azure Machine Learning studio

Result

• A job “Hello World with experiments” is created under the experiment name “data_science”. It seems this is the default name of the experiment if we don’t indicate in the command function (see screenshot)

• The job has code and logs registered

start_run receives experiment

%%writefile hello_world_experiments.py
import mlflow
from hello_world_core import hello_world, parse_args
    
def main():
    """Main function of the script."""
    
    names = ["John", "Mary", "Ana"]
    for idx, name in enumerate(names):
        experiment = mlflow.create_experiment (str(idx))
        mlflow.start_run(experiment)
        mlflow.log_param ("name to log", name)
        mlflow.log_metric ("length", len(name))
        mlflow.end_run ()
        hello_world (name)
    
if __name__ == "__main__":
    main()

Overwriting hello_world_experiments.py

# configure job
job = command(
    code=f"./",  # location of source code: in this case, the root folder
    command="python hello_world_experiments.py",
    environment="AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest",
    display_name="Hello World with experiments 2",
)

# submit job
ml_client.create_or_update(job)

Uploading data_science (12.73 MBs): 100%|██████████| 12725904/12725904 [00:00<00:00, 16250029.70it/s]

Experiment	Name	Type	Status	Details Page
data_science	good_helmet_wgcgzlvs99	command	Starting	Link to Azure Machine Learning studio

Result

This experiment failed, since the call to mlflow.start_run (experiment) is incorrect. The correct call is mlflow.start_run(experiment_id=experiment_id)

start_run receives under experiment_id name

%%writefile hello_world_experiments_id.py
import mlflow
from hello_world_core import hello_world, parse_args
    
def main():
    """Main function of the script."""
    
    names = ["John", "Mary", "Ana"]
    for idx, name in enumerate(names):
        experiment_id = mlflow.create_experiment (str(idx))
        mlflow.start_run(experiment_id=experiment_id)
        mlflow.log_param ("name to log", name)
        mlflow.log_metric ("length", len(name))
        mlflow.end_run ()
        hello_world (name)
    
if __name__ == "__main__":
    main()

Writing hello_world_experiments_id.py

# configure job
job = command(
    code=f"./",  # location of source code: in this case, the root folder
    command="python hello_world_experiments_id.py",
    environment="AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest",
    display_name="Hello World with experiment_id",
)

# submit job
ml_client.create_or_update(job)

Uploading data_science (12.74 MBs): 100%|██████████| 12741018/12741018 [00:02<00:00, 5305432.15it/s]

Experiment	Name	Type	Status	Details Page
data_science	lime_snail_kdddyl016h	command	Starting	Link to Azure Machine Learning studio

Result

The code is uploaded to an experiment called “data_science”. This experiment makes use of the first parameter value: name="John". The remaining experiments (1, and 2), are created separately for parameter values "Mary" and "Ana", without code being uploaded to them.

using separate runs instead

%%writefile hello_world_runs.py
import mlflow
from hello_world_core import hello_world, parse_args
    
def main():
    """Main function of the script."""
    
    names = ["John", "Mary", "Ana"]
    experiment_id = mlflow.create_experiment("experiment1")
    for idx, name in enumerate(names):
        mlflow.start_run(run_name=str(idx), experiment_id=experiment_id)
        mlflow.log_param ("name to log", name)
        mlflow.log_metric ("length", len(name))
        mlflow.end_run ()
        hello_world (name)
    
if __name__ == "__main__":
    main()

Writing hello_world_runs.py

# configure job
job = command(
    code=f"./",  # location of source code: in this case, the root folder
    command="python hello_world_runs.py",
    environment="AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest",
    display_name="Hello World with runs",
)

# submit job
ml_client.create_or_update(job)

Uploading data_science (12.75 MBs): 100%|██████████| 12749252/12749252 [00:00<00:00, 18741643.65it/s]

Experiment	Name	Type	Status	Details Page
data_science	olive_shelf_r4fzsl1f0d	command	Starting	Link to Azure Machine Learning studio

Result

• Two runs are created under a job with experiment name “experiment1” and latest_job name 1 and 2:

• The metric values for these can be compared using graphics:

• There is still a job created under experiment name data_science. This job contains result of using first parameter value, code and logs. But it cannot be compared.

Separate runs + experiment in command

%%writefile hello_world_runs_command.py
import mlflow
from hello_world_core import hello_world, parse_args
    
def main():
    """Main function of the script."""
    
    names = ["John", "Mary", "Ana"]
    for idx, name in enumerate(names):
        mlflow.start_run(run_name=str(idx))
        mlflow.log_param ("name to log", name)
        mlflow.log_metric ("length", len(name))
        mlflow.end_run ()
        hello_world (name)
    
if __name__ == "__main__":
    main()

Writing hello_world_runs_command.py

# configure job
job = command(
    code=f"./",  # location of source code: in this case, the root folder
    command="python hello_world_runs_command.py",
    environment="AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest",
    experiment_name="hw_runs_command",
    display_name="Hello World with runs + command",
)

# submit job
ml_client.create_or_update(job)

Class AutoDeleteSettingSchema: This is an experimental class, and may change at any time. Please see https://aka.ms/azuremlexperimental for more information.
Class AutoDeleteConditionSchema: This is an experimental class, and may change at any time. Please see https://aka.ms/azuremlexperimental for more information.
Class BaseAutoDeleteSettingSchema: This is an experimental class, and may change at any time. Please see https://aka.ms/azuremlexperimental for more information.
Class IntellectualPropertySchema: This is an experimental class, and may change at any time. Please see https://aka.ms/azuremlexperimental for more information.
Class ProtectionLevelSchema: This is an experimental class, and may change at any time. Please see https://aka.ms/azuremlexperimental for more information.
Class BaseIntellectualPropertySchema: This is an experimental class, and may change at any time. Please see https://aka.ms/azuremlexperimental for more information.
Uploading data_science (17.09 MBs): 100%|██████████| 17092597/17092597 [00:00<00:00, 23325862.31it/s]

Experiment	Name	Type	Status	Details Page
hw_runs_command	jolly_bone_c07ncly80l	command	Starting	Link to Azure Machine Learning studio

Result

• We have the three runs under the same experiment, and we can compare their metrics:

Logging images

%%writefile hello_world_images.py
import mlflow
from hello_world_core import hello_world, parse_args
import matplotlib.pyplot as plt
    
def main():
    """Main function of the script."""
    
    names = ["John", "Mary", "Ana"]
    for idx, name in enumerate(names):
        mlflow.start_run(run_name=str(idx))
        mlflow.log_param ("name to log", name)
        mlflow.log_metric ("length", len(name))
        
        fig, ax = plt.subplots()
        ax.plot([0+10*len(name), 1+10*len(name)], [2+10*len(name), 3+10*len(name)])
        mlflow.log_figure(fig, f"figure_{idx}.png")
        
        mlflow.end_run ()
        hello_world (name)
    
if __name__ == "__main__":
    main()

Overwriting hello_world_images.py

# configure job
job = command(
    code=f"./",  # location of source code: in this case, the root folder
    command="python hello_world_images.py",
    environment="AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest",
    experiment_name="hw_images",
    display_name="Hello World with images",
)

job.settings.default_compute = "jaumecpu"

# submit job
ml_client.create_or_update(job)

Warnings: [settings: Unknown field.]
Warnings: [settings: Unknown field.]
Uploading data_science (16.39 MBs): 100%|██████████| 16392540/16392540 [00:01<00:00, 14278614.03it/s]

Experiment	Name	Type	Status	Details Page
hw_images	shy_island_fh9jg0r6nf	command	Starting	Link to Azure Machine Learning studio

Result

Using interactive

# Set the experiment
mlflow.set_experiment("mlflow-interactive-4")

names = ["John", "Mary", "Ana"]
for idx, name in enumerate(names):
    mlflow.start_run(run_name=str(idx)+"-bis-2")
    mlflow.log_param ("name to log", name)
    mlflow.log_metric ("length", len(name))

    fig, ax = plt.subplots()
    ax.plot([0+10*len(name), 1+10*len(name)], [2+10*len(name), 3+10*len(name)])
    mlflow.log_figure(fig, f"figure_{idx}.png")

    mlflow.end_run ()

2024/06/04 09:05:04 INFO mlflow.tracking.fluent: Experiment with name 'mlflow-interactive-4' does not exist. Creating a new experiment.

Multiple metrics

mlflow.set_experiment("multiple-metrics")
client = MlflowClient()

names = ["John", "Mary", "Ana"]
for idx, name in enumerate(names):
    current_run = mlflow.start_run(run_name=str(idx)+"-bis-2")
    mlflow.log_param ("name to log", name)
    mlflow.log_metric ("length", len(name))
    
    list_to_log = np.array([1, 2, 3, 2, 1, 2, 3, 2, 1])+len(name)*1000

    client.log_batch(
        current_run.info.run_id, 
        metrics=[
            Metric(key="sample_list", value=val, timestamp=int(time.time() * 1000), step=0) 
            for val in list_to_log
        ]
    )

    fig, ax = plt.subplots()
    ax.plot(np.array([1,2,4,8,16,32,64,128]) + len(name)*1000)
    mlflow.log_figure(fig, f"figure_{idx}.png")

    mlflow.end_run ()

Using dataset

auto-log, not using evaluate

without set_experiment or run

# enable autologging
mlflow.autolog()

# read data
dataset_source_url = "https://raw.githubusercontent.com/mlflow/mlflow/master/tests/datasets/winequality-white.csv"
df = pd.read_csv(dataset_source_url, delimiter=";")

# split data
y = df["quality"]
X = df.drop("quality", axis=1)
X_train, X_test, y_train, y_test = train_test_split(
    X, y, test_size=0.33, random_state=17
)

# train model
model = RandomForestClassifier ()
model.fit (X_train, y_train)

# evaluate
y_hat = model.predict(X_test)
acc = np.average(y_hat == y_test)
print('Accuracy:', acc)

2024/06/04 13:32:06 INFO mlflow.tracking.fluent: Autologging successfully enabled for sklearn.
2024/06/04 13:32:06 INFO mlflow.utils.autologging_utils: Created MLflow autologging run with ID '79f7182e-22da-49bc-9ffb-5d4d3ab19172', which will track hyperparameters, performance metrics, model artifacts, and lineage information for the current sklearn workflow
2024/06/04 13:32:14 WARNING mlflow.sklearn: Failed to log evaluation dataset information to MLflow Tracking. Reason: BAD_REQUEST: Response: {'Error': {'Code': 'UserError', 'Severity': None, 'Message': 'Cannot log the same dataset with different context', 'MessageFormat': None, 'MessageParameters': None, 'ReferenceCode': None, 'DetailsUri': None, 'Target': None, 'Details': [], 'InnerError': None, 'DebugInfo': None, 'AdditionalInfo': None}, 'Correlation': {'operation': '8bf21ee6ca6b0a22621d463962cdb6c7', 'request': 'bb3b9eee5cc179d2'}, 'Environment': 'eastus2', 'Location': 'eastus2', 'Time': '2024-06-04T13:32:14.3398324+00:00', 'ComponentName': 'mlflow', 'statusCode': 400, 'error_code': 'BAD_REQUEST'}

Accuracy: 0.6611008039579468

with set_experiment or run

mlflow.set_experiment("auto-log-diabetes")
current_run = mlflow.start_run(run_name="single-run")
    
# enable autologging
mlflow.autolog()

# read data
dataset_source_url = "https://raw.githubusercontent.com/mlflow/mlflow/master/tests/datasets/winequality-white.csv"
df = pd.read_csv(dataset_source_url, delimiter=";")

# split data
y = df["quality"]
X = df.drop("quality", axis=1)
X_train, X_test, y_train, y_test = train_test_split(
    X, y, test_size=0.33, random_state=17
)

# train model
model = RandomForestClassifier ()
model.fit (X_train, y_train)

# evaluate
y_hat = model.predict(X_test)
acc = np.average(y_hat == y_test)
print('Accuracy:', acc)

mlflow.end_run()

2024/06/04 13:42:27 INFO mlflow.tracking.fluent: Autologging successfully enabled for sklearn.
2024/06/04 13:42:34 WARNING mlflow.sklearn: Failed to log evaluation dataset information to MLflow Tracking. Reason: BAD_REQUEST: Response: {'Error': {'Code': 'UserError', 'Severity': None, 'Message': 'Cannot log the same dataset with different context', 'MessageFormat': None, 'MessageParameters': None, 'ReferenceCode': None, 'DetailsUri': None, 'Target': None, 'Details': [], 'InnerError': None, 'DebugInfo': None, 'AdditionalInfo': None}, 'Correlation': {'operation': '2ca9d0147eefa2c27982cd511b017688', 'request': '0c999aaf8b0221f2'}, 'Environment': 'eastus2', 'Location': 'eastus2', 'Time': '2024-06-04T13:42:34.8823005+00:00', 'ComponentName': 'mlflow', 'statusCode': 400, 'error_code': 'BAD_REQUEST'}

Accuracy: 0.6635745207173779

with evaluate

mlflow.set_experiment("auto-log-evaluate")
current_run = mlflow.start_run(run_name="single-run")
    
# enable autologging
mlflow.autolog()

# read data
dataset_source_url = "https://raw.githubusercontent.com/mlflow/mlflow/master/tests/datasets/winequality-white.csv"
df = pd.read_csv(dataset_source_url, delimiter=";")

# split data
y = df["quality"]
X = df.drop("quality", axis=1)
X_train, X_test, y_train, y_test = train_test_split(
    X, y, test_size=0.33, random_state=17
)


# train model
model = RandomForestClassifier ()
model.fit (X_train, y_train)

# evaluate
y_hat = model.predict(X_test)

# --------------------------------------
eval_data = X_test
eval_data["label"] = y_test

# Assign the decoded predictions to the Evaluation Dataset
eval_data["predictions"] = y_hat

# Create the PandasDataset for use in mlflow evaluate
pd_dataset = mlflow.data.from_pandas(
    eval_data, predictions="predictions", targets="label"
)
result = mlflow.evaluate(data=pd_dataset, predictions=None, model_type="classifier")
#result = mlflow.evaluate(model=model, predictions=None, model_type="classifier")
# -------------------------------------

with multiple runs

#mlflow.end_run()
mlflow.set_experiment("shap-extra-runs")

# enable autologging
mlflow.autolog()
# read data
dataset_source_url = "https://raw.githubusercontent.com/mlflow/mlflow/master/tests/datasets/winequality-white.csv"
df = pd.read_csv(dataset_source_url, delimiter=";")
dataset: PandasDataset = mlflow.data.from_pandas(df, source=dataset_source_url)

# split data
y = df["quality"]
X = df.drop("quality", axis=1)

X = X[(y==6) | (y==5)]
y = y[(y==6) | (y==5)]
y[y==6]=1
y[y==5]=0

X_train, X_test, y_train, y_test = train_test_split(
    X, y, test_size=0.33, random_state=17
)

# hp
n_estimators_values = [25, 50, 100, 200]

for idx, n_estimators in enumerate (n_estimators_values):
    current_run = mlflow.start_run(run_name=f"run_{idx}")
    
    # train model
    model = RandomForestClassifier (n_estimators=n_estimators)
    model.fit (X_train, y_train)

    # --------------------------------------
    # evaluate
    #y_hat = model.predict(X_test)
    y_hat = model.predict_proba(X_test)[:, 1]
    precision, recall, thresholds = precision_recall_curve (y_test, y_hat)
    thresholds = np.append (thresholds, values=1.0)
    threshold=thresholds[precision>0.7].min()
    y_hat = (y_hat>threshold).astype (int)

    # --------------------------------------
    eval_data = X_test.copy()
    eval_data["label"] = y_test

    # Assign the decoded predictions to the Evaluation Dataset
    eval_data["predictions"] = y_hat

    # Create the PandasDataset for use in mlflow evaluate
    pd_dataset = mlflow.data.from_pandas(
        eval_data, 
        predictions="predictions", 
        targets="label", 
        source=dataset_source_url, 
        name="wine-quality-white-3", 
    )
    
    result = mlflow.evaluate(data=pd_dataset, predictions=None, model_type="classifier")
    # -------------------------------------


    mlflow.end_run()

2024/06/05 08:38:38 INFO mlflow.tracking.fluent: Experiment with name 'shap-extra-runs' does not exist. Creating a new experiment.
2024/06/05 08:38:38 DEBUG mlflow.utils.autologging_utils: Called autolog() method for mlflow autologging with args '()' and kwargs '{'log_input_examples': False, 'log_model_signatures': True, 'log_models': True, 'log_datasets': True, 'disable': False, 'exclusive': False, 'disable_for_unsupported_versions': False, 'silent': False, 'extra_tags': None}'
2024/06/05 08:38:38 DEBUG mlflow.utils.autologging_utils: Called autolog() method for sklearn autologging with args '()' and kwargs '{'log_input_examples': False, 'log_model_signatures': True, 'log_models': True, 'log_datasets': True, 'disable': False, 'exclusive': False, 'disable_for_unsupported_versions': False, 'silent': False, 'max_tuning_runs': 5, 'log_post_training_metrics': True, 'serialization_format': 'cloudpickle', 'registered_model_name': None, 'pos_label': None, 'extra_tags': None}'
2024/06/05 08:38:40 DEBUG mlflow.utils.gorilla: Patch fn on destination already existed. Overwrite old patch.
2024/06/05 08:38:40 DEBUG mlflow.utils.gorilla: Patch fn on destination already existed. Overwrite old patch.
2024/06/05 08:38:40 DEBUG mlflow.utils.gorilla: Patch fn on destination already existed. Overwrite old patch.
2024/06/05 08:38:40 DEBUG mlflow.utils.gorilla: Patch fn on destination already existed. Overwrite old patch.
2024/06/05 08:38:40 DEBUG mlflow.utils.gorilla: Patch fn on destination already existed. Overwrite old patch.
2024/06/05 08:38:40 DEBUG mlflow.utils.gorilla: Patch fn on destination already existed. Overwrite old patch.
2024/06/05 08:38:40 INFO mlflow.tracking.fluent: Autologging successfully enabled for sklearn.
2024/06/05 08:38:40 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.ensemble._forest.RandomForestClassifier'>.fit' for sklearn autologging with args '(RandomForestClassifier(n_estimators=25),       fixed acidity  volatile acidity  citric acid  residual sugar  chlorides  \
2046            8.3              0.33         0.43            9.20      0.046   
356             7.3              0.22         0.37           14.30      0.063   
3541            8.1              0.26         0.27            4.30      0.030   
3114            6.3              0.17         0.32            4.20      0.040   
469             7.2              0.29         0.53           18.15      0.047   
...             ...               ...          ...             ...        ...   
527             6.1              0.28         0.22            1.80      0.034   
1932            9.2              0.71         0.23            6.20      0.042   
2941            7.2              0.30         0.30            8.70      0.022   
4468            6.2              0.21         0.24            1.20      0.051   
3643            6.8              0.19         0.33            4.90      0.047   

      free sulfur dioxide  total sulfur dioxide  density    pH  sulphates  \
2046                 22.0                 126.0  0.99820  3.38       0.47   
356                  48.0                 191.0  0.99780  2.89       0.38   
3541                 43.0                 123.0  0.99212  3.16       0.33   
3114                 37.0                 117.0  0.99182  3.24       0.43   
469                  59.0                 182.0  0.99920  3.09       0.52   
...                   ...                   ...      ...   ...        ...   
527                  32.0                 116.0  0.98980  3.36       0.44   
1932                 15.0                  93.0  0.99480  2.89       0.34   
2941                 14.0                 111.0  0.99576  3.11       0.61   
4468                 31.0                  95.0  0.99036  3.24       0.57   
3643                 42.0                 130.0  0.99283  3.12       0.56   

      alcohol  
2046      9.3  
356       9.0  
3541     11.2  
3114     11.3  
469       9.6  
...       ...  
527      12.6  
1932     10.1  
2941     10.6  
4468     11.3  
3643     11.0  

[2448 rows x 11 columns], 2046    0
356     1
3541    1
3114    1
469     0
       ..
527     1
1932    1
2941    0
4468    1
3643    1
Name: quality, Length: 2448, dtype: int64)' and kwargs '{}'
2024/06/05 08:38:40 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.ensemble._forest.RandomForestClassifier'>.fit' for sklearn autologging. Original function was invoked with args '(RandomForestClassifier(n_estimators=25),       fixed acidity  volatile acidity  citric acid  residual sugar  chlorides  \
2046            8.3              0.33         0.43            9.20      0.046   
356             7.3              0.22         0.37           14.30      0.063   
3541            8.1              0.26         0.27            4.30      0.030   
3114            6.3              0.17         0.32            4.20      0.040   
469             7.2              0.29         0.53           18.15      0.047   
...             ...               ...          ...             ...        ...   
527             6.1              0.28         0.22            1.80      0.034   
1932            9.2              0.71         0.23            6.20      0.042   
2941            7.2              0.30         0.30            8.70      0.022   
4468            6.2              0.21         0.24            1.20      0.051   
3643            6.8              0.19         0.33            4.90      0.047   

      free sulfur dioxide  total sulfur dioxide  density    pH  sulphates  \
2046                 22.0                 126.0  0.99820  3.38       0.47   
356                  48.0                 191.0  0.99780  2.89       0.38   
3541                 43.0                 123.0  0.99212  3.16       0.33   
3114                 37.0                 117.0  0.99182  3.24       0.43   
469                  59.0                 182.0  0.99920  3.09       0.52   
...                   ...                   ...      ...   ...        ...   
527                  32.0                 116.0  0.98980  3.36       0.44   
1932                 15.0                  93.0  0.99480  2.89       0.34   
2941                 14.0                 111.0  0.99576  3.11       0.61   
4468                 31.0                  95.0  0.99036  3.24       0.57   
3643                 42.0                 130.0  0.99283  3.12       0.56   

      alcohol  
2046      9.3  
356       9.0  
3541     11.2  
3114     11.3  
469       9.6  
...       ...  
527      12.6  
1932     10.1  
2941     10.6  
4468     11.3  
3643     11.0  

[2448 rows x 11 columns], 2046    0
356     1
3541    1
3114    1
469     0
       ..
527     1
1932    1
2941    0
4468    1
3643    1
Name: quality, Length: 2448, dtype: int64)' and kwargs '{}'
2024/06/05 08:38:40 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1503144821), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 0., 0., ..., 0., 2., 1.]), 'check_input': False}'
2024/06/05 08:38:40 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1503144821), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 0., 0., ..., 0., 2., 1.]), 'check_input': False}'
2024/06/05 08:38:40 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1503144821), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 0., 0., ..., 0., 2., 1.]), 'check_input': False}'
2024/06/05 08:38:40 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1503144821), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 0., 0., ..., 0., 2., 1.]), 'check_input': False}'
2024/06/05 08:38:40 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1756899350), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 0., 3., ..., 0., 3., 0.]), 'check_input': False}'
2024/06/05 08:38:40 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1756899350), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 0., 3., ..., 0., 3., 0.]), 'check_input': False}'
2024/06/05 08:38:40 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1756899350), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 0., 3., ..., 0., 3., 0.]), 'check_input': False}'
2024/06/05 08:38:40 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1756899350), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 0., 3., ..., 0., 3., 0.]), 'check_input': False}'
2024/06/05 08:38:40 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=503712351), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([2., 1., 1., ..., 1., 2., 1.]), 'check_input': False}'
2024/06/05 08:38:40 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=503712351), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([2., 1., 1., ..., 1., 2., 1.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=503712351), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([2., 1., 1., ..., 1., 2., 1.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=503712351), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([2., 1., 1., ..., 1., 2., 1.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1830641452), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 0., 0., ..., 2., 5., 1.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1830641452), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 0., 0., ..., 2., 5., 1.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1830641452), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 0., 0., ..., 2., 5., 1.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1830641452), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 0., 0., ..., 2., 5., 1.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=564291510), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 0., 1., ..., 0., 0., 1.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=564291510), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 0., 1., ..., 0., 0., 1.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=564291510), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 0., 1., ..., 0., 0., 1.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=564291510), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 0., 1., ..., 0., 0., 1.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1350014931), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 2., 0., ..., 2., 2., 0.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1350014931), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 2., 0., ..., 2., 2., 0.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1350014931), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 2., 0., ..., 2., 2., 0.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1350014931), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 2., 0., ..., 2., 2., 0.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=355903341), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 2., 0., ..., 0., 0., 1.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=355903341), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 2., 0., ..., 0., 0., 1.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=355903341), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 2., 0., ..., 0., 0., 1.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=355903341), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 2., 0., ..., 0., 0., 1.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1608240563), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 4., 2., ..., 3., 2., 4.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1608240563), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 4., 2., ..., 3., 2., 4.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1608240563), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 4., 2., ..., 3., 2., 4.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1608240563), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 4., 2., ..., 3., 2., 4.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1514978177), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 1., 3., ..., 1., 0., 0.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1514978177), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 1., 3., ..., 1., 0., 0.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1514978177), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 1., 3., ..., 1., 0., 0.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1514978177), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 1., 3., ..., 1., 0., 0.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1933344888), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 1., 1., ..., 0., 0., 1.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1933344888), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 1., 1., ..., 0., 0., 1.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1933344888), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 1., 1., ..., 0., 0., 1.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1933344888), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 1., 1., ..., 0., 0., 1.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2139888806), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 3., 0., ..., 0., 0., 2.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2139888806), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 3., 0., ..., 0., 0., 2.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2139888806), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 3., 0., ..., 0., 0., 2.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2139888806), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 3., 0., ..., 0., 0., 2.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=389292234), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([2., 1., 0., ..., 0., 0., 0.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=389292234), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([2., 1., 0., ..., 0., 0., 0.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=389292234), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([2., 1., 0., ..., 0., 0., 0.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=389292234), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([2., 1., 0., ..., 0., 0., 0.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=93203662), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 0., 1., ..., 1., 2., 0.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=93203662), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 0., 1., ..., 1., 2., 0.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=93203662), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 0., 1., ..., 1., 2., 0.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=93203662), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 0., 1., ..., 1., 2., 0.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=165299253), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 1., 1., ..., 2., 0., 0.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=165299253), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 1., 1., ..., 2., 0., 0.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=165299253), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 1., 1., ..., 2., 0., 0.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=165299253), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 1., 1., ..., 2., 0., 0.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=338853025), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([3., 2., 0., ..., 2., 1., 0.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=338853025), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([3., 2., 0., ..., 2., 1., 0.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=338853025), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([3., 2., 0., ..., 2., 1., 0.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=338853025), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([3., 2., 0., ..., 2., 1., 0.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1321339288), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([2., 0., 2., ..., 2., 1., 0.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1321339288), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([2., 0., 2., ..., 2., 1., 0.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1321339288), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([2., 0., 2., ..., 2., 1., 0.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1321339288), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([2., 0., 2., ..., 2., 1., 0.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=153652917), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 1., 0., ..., 1., 2., 1.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=153652917), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 1., 0., ..., 1., 2., 1.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=153652917), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 1., 0., ..., 1., 2., 1.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=153652917), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 1., 0., ..., 1., 2., 1.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1965061364), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 2., 2., ..., 1., 0., 1.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1965061364), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 2., 2., ..., 1., 0., 1.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1965061364), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 2., 2., ..., 1., 0., 1.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1965061364), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 2., 2., ..., 1., 0., 1.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=628206093), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 0., 0., ..., 1., 0., 0.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=628206093), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 0., 0., ..., 1., 0., 0.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=628206093), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 0., 0., ..., 1., 0., 0.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=628206093), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 0., 0., ..., 1., 0., 0.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1894823798), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([2., 1., 0., ..., 0., 0., 1.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1894823798), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([2., 1., 0., ..., 0., 0., 1.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1894823798), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([2., 1., 0., ..., 0., 0., 1.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1894823798), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([2., 1., 0., ..., 0., 0., 1.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1287369901), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([2., 0., 2., ..., 0., 1., 2.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1287369901), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([2., 0., 2., ..., 0., 1., 2.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1287369901), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([2., 0., 2., ..., 0., 1., 2.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1287369901), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([2., 0., 2., ..., 0., 1., 2.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1266790438), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 1., 1., ..., 0., 0., 1.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1266790438), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 1., 1., ..., 0., 0., 1.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1266790438), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 1., 1., ..., 0., 0., 1.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1266790438), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 1., 1., ..., 0., 0., 1.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1853005276), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 3., 0., ..., 0., 2., 0.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1853005276), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 3., 0., ..., 0., 2., 0.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1853005276), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 3., 0., ..., 0., 2., 0.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1853005276), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 3., 0., ..., 0., 2., 0.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1753139428), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 1., 2., ..., 2., 2., 0.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1753139428), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 1., 2., ..., 2., 2., 0.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1753139428), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 1., 2., ..., 2., 2., 0.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1753139428), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 1., 2., ..., 2., 2., 0.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=358291864), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 1., 3., ..., 1., 2., 1.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=358291864), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 1., 3., ..., 1., 2., 1.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=358291864), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 1., 3., ..., 1., 2., 1.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=358291864), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 1., 3., ..., 1., 2., 1.]), 'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.ensemble._forest.RandomForestClassifier'>.fit' for sklearn autologging. Original function was invoked with with args '(RandomForestClassifier(n_estimators=25),       fixed acidity  volatile acidity  citric acid  residual sugar  chlorides  \
2046            8.3              0.33         0.43            9.20      0.046   
356             7.3              0.22         0.37           14.30      0.063   
3541            8.1              0.26         0.27            4.30      0.030   
3114            6.3              0.17         0.32            4.20      0.040   
469             7.2              0.29         0.53           18.15      0.047   
...             ...               ...          ...             ...        ...   
527             6.1              0.28         0.22            1.80      0.034   
1932            9.2              0.71         0.23            6.20      0.042   
2941            7.2              0.30         0.30            8.70      0.022   
4468            6.2              0.21         0.24            1.20      0.051   
3643            6.8              0.19         0.33            4.90      0.047   

      free sulfur dioxide  total sulfur dioxide  density    pH  sulphates  \
2046                 22.0                 126.0  0.99820  3.38       0.47   
356                  48.0                 191.0  0.99780  2.89       0.38   
3541                 43.0                 123.0  0.99212  3.16       0.33   
3114                 37.0                 117.0  0.99182  3.24       0.43   
469                  59.0                 182.0  0.99920  3.09       0.52   
...                   ...                   ...      ...   ...        ...   
527                  32.0                 116.0  0.98980  3.36       0.44   
1932                 15.0                  93.0  0.99480  2.89       0.34   
2941                 14.0                 111.0  0.99576  3.11       0.61   
4468                 31.0                  95.0  0.99036  3.24       0.57   
3643                 42.0                 130.0  0.99283  3.12       0.56   

      alcohol  
2046      9.3  
356       9.0  
3541     11.2  
3114     11.3  
469       9.6  
...       ...  
527      12.6  
1932     10.1  
2941     10.6  
4468     11.3  
3643     11.0  

[2448 rows x 11 columns], 2046    0
356     1
3541    1
3114    1
469     0
       ..
527     1
1932    1
2941    0
4468    1
3643    1
Name: quality, Length: 2448, dtype: int64)' and kwargs '{}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.ensemble._forest.RandomForestClassifier'>.predict' for sklearn autologging with args '(RandomForestClassifier(n_estimators=25),       fixed acidity  volatile acidity  citric acid  residual sugar  chlorides  \
2046            8.3              0.33         0.43            9.20      0.046   
356             7.3              0.22         0.37           14.30      0.063   
3541            8.1              0.26         0.27            4.30      0.030   
3114            6.3              0.17         0.32            4.20      0.040   
469             7.2              0.29         0.53           18.15      0.047   
...             ...               ...          ...             ...        ...   
527             6.1              0.28         0.22            1.80      0.034   
1932            9.2              0.71         0.23            6.20      0.042   
2941            7.2              0.30         0.30            8.70      0.022   
4468            6.2              0.21         0.24            1.20      0.051   
3643            6.8              0.19         0.33            4.90      0.047   

      free sulfur dioxide  total sulfur dioxide  density    pH  sulphates  \
2046                 22.0                 126.0  0.99820  3.38       0.47   
356                  48.0                 191.0  0.99780  2.89       0.38   
3541                 43.0                 123.0  0.99212  3.16       0.33   
3114                 37.0                 117.0  0.99182  3.24       0.43   
469                  59.0                 182.0  0.99920  3.09       0.52   
...                   ...                   ...      ...   ...        ...   
527                  32.0                 116.0  0.98980  3.36       0.44   
1932                 15.0                  93.0  0.99480  2.89       0.34   
2941                 14.0                 111.0  0.99576  3.11       0.61   
4468                 31.0                  95.0  0.99036  3.24       0.57   
3643                 42.0                 130.0  0.99283  3.12       0.56   

      alcohol  
2046      9.3  
356       9.0  
3541     11.2  
3114     11.3  
469       9.6  
...       ...  
527      12.6  
1932     10.1  
2941     10.6  
4468     11.3  
3643     11.0  

[2448 rows x 11 columns])' and kwargs '{}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.ensemble._forest.RandomForestClassifier'>.predict' for sklearn autologging. Original function was invoked with args '(RandomForestClassifier(n_estimators=25),       fixed acidity  volatile acidity  citric acid  residual sugar  chlorides  \
2046            8.3              0.33         0.43            9.20      0.046   
356             7.3              0.22         0.37           14.30      0.063   
3541            8.1              0.26         0.27            4.30      0.030   
3114            6.3              0.17         0.32            4.20      0.040   
469             7.2              0.29         0.53           18.15      0.047   
...             ...               ...          ...             ...        ...   
527             6.1              0.28         0.22            1.80      0.034   
1932            9.2              0.71         0.23            6.20      0.042   
2941            7.2              0.30         0.30            8.70      0.022   
4468            6.2              0.21         0.24            1.20      0.051   
3643            6.8              0.19         0.33            4.90      0.047   

      free sulfur dioxide  total sulfur dioxide  density    pH  sulphates  \
2046                 22.0                 126.0  0.99820  3.38       0.47   
356                  48.0                 191.0  0.99780  2.89       0.38   
3541                 43.0                 123.0  0.99212  3.16       0.33   
3114                 37.0                 117.0  0.99182  3.24       0.43   
469                  59.0                 182.0  0.99920  3.09       0.52   
...                   ...                   ...      ...   ...        ...   
527                  32.0                 116.0  0.98980  3.36       0.44   
1932                 15.0                  93.0  0.99480  2.89       0.34   
2941                 14.0                 111.0  0.99576  3.11       0.61   
4468                 31.0                  95.0  0.99036  3.24       0.57   
3643                 42.0                 130.0  0.99283  3.12       0.56   

      alcohol  
2046      9.3  
356       9.0  
3541     11.2  
3114     11.3  
469       9.6  
...       ...  
527      12.6  
1932     10.1  
2941     10.6  
4468     11.3  
3643     11.0  

[2448 rows x 11 columns])' and kwargs '{}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.ensemble._forest.RandomForestClassifier'>.predict_proba' for sklearn autologging with args '(RandomForestClassifier(n_estimators=25),       fixed acidity  volatile acidity  citric acid  residual sugar  chlorides  \
2046            8.3              0.33         0.43            9.20      0.046   
356             7.3              0.22         0.37           14.30      0.063   
3541            8.1              0.26         0.27            4.30      0.030   
3114            6.3              0.17         0.32            4.20      0.040   
469             7.2              0.29         0.53           18.15      0.047   
...             ...               ...          ...             ...        ...   
527             6.1              0.28         0.22            1.80      0.034   
1932            9.2              0.71         0.23            6.20      0.042   
2941            7.2              0.30         0.30            8.70      0.022   
4468            6.2              0.21         0.24            1.20      0.051   
3643            6.8              0.19         0.33            4.90      0.047   

      free sulfur dioxide  total sulfur dioxide  density    pH  sulphates  \
2046                 22.0                 126.0  0.99820  3.38       0.47   
356                  48.0                 191.0  0.99780  2.89       0.38   
3541                 43.0                 123.0  0.99212  3.16       0.33   
3114                 37.0                 117.0  0.99182  3.24       0.43   
469                  59.0                 182.0  0.99920  3.09       0.52   
...                   ...                   ...      ...   ...        ...   
527                  32.0                 116.0  0.98980  3.36       0.44   
1932                 15.0                  93.0  0.99480  2.89       0.34   
2941                 14.0                 111.0  0.99576  3.11       0.61   
4468                 31.0                  95.0  0.99036  3.24       0.57   
3643                 42.0                 130.0  0.99283  3.12       0.56   

      alcohol  
2046      9.3  
356       9.0  
3541     11.2  
3114     11.3  
469       9.6  
...       ...  
527      12.6  
1932     10.1  
2941     10.6  
4468     11.3  
3643     11.0  

[2448 rows x 11 columns])' and kwargs '{}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.ensemble._forest.RandomForestClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(RandomForestClassifier(n_estimators=25),       fixed acidity  volatile acidity  citric acid  residual sugar  chlorides  \
2046            8.3              0.33         0.43            9.20      0.046   
356             7.3              0.22         0.37           14.30      0.063   
3541            8.1              0.26         0.27            4.30      0.030   
3114            6.3              0.17         0.32            4.20      0.040   
469             7.2              0.29         0.53           18.15      0.047   
...             ...               ...          ...             ...        ...   
527             6.1              0.28         0.22            1.80      0.034   
1932            9.2              0.71         0.23            6.20      0.042   
2941            7.2              0.30         0.30            8.70      0.022   
4468            6.2              0.21         0.24            1.20      0.051   
3643            6.8              0.19         0.33            4.90      0.047   

      free sulfur dioxide  total sulfur dioxide  density    pH  sulphates  \
2046                 22.0                 126.0  0.99820  3.38       0.47   
356                  48.0                 191.0  0.99780  2.89       0.38   
3541                 43.0                 123.0  0.99212  3.16       0.33   
3114                 37.0                 117.0  0.99182  3.24       0.43   
469                  59.0                 182.0  0.99920  3.09       0.52   
...                   ...                   ...      ...   ...        ...   
527                  32.0                 116.0  0.98980  3.36       0.44   
1932                 15.0                  93.0  0.99480  2.89       0.34   
2941                 14.0                 111.0  0.99576  3.11       0.61   
4468                 31.0                  95.0  0.99036  3.24       0.57   
3643                 42.0                 130.0  0.99283  3.12       0.56   

      alcohol  
2046      9.3  
356       9.0  
3541     11.2  
3114     11.3  
469       9.6  
...       ...  
527      12.6  
1932     10.1  
2941     10.6  
4468     11.3  
3643     11.0  

[2448 rows x 11 columns])' and kwargs '{}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1503144821), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1503144821), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1503144821), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1503144821), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1756899350), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1756899350), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1756899350), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1756899350), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=503712351), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=503712351), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=503712351), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=503712351), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1830641452), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1830641452), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1830641452), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1830641452), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=564291510), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=564291510), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=564291510), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=564291510), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1350014931), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1350014931), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1350014931), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1350014931), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=355903341), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=355903341), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=355903341), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=355903341), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1608240563), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1608240563), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1608240563), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1608240563), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1514978177), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1514978177), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1514978177), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1514978177), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1933344888), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1933344888), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1933344888), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1933344888), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2139888806), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2139888806), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2139888806), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2139888806), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=389292234), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=389292234), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=389292234), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=389292234), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=93203662), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=93203662), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=93203662), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=93203662), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=165299253), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=165299253), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=165299253), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=165299253), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=338853025), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=338853025), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=338853025), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=338853025), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1321339288), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1321339288), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1321339288), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1321339288), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=153652917), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=153652917), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=153652917), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=153652917), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1965061364), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1965061364), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1965061364), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1965061364), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=628206093), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=628206093), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=628206093), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=628206093), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1894823798), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1894823798), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1894823798), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1894823798), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1287369901), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1287369901), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1287369901), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1287369901), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1266790438), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1266790438), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1266790438), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1266790438), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1853005276), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1853005276), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1853005276), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1853005276), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1753139428), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1753139428), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1753139428), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1753139428), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=358291864), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=358291864), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=358291864), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=358291864), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.ensemble._forest.RandomForestClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(RandomForestClassifier(n_estimators=25),       fixed acidity  volatile acidity  citric acid  residual sugar  chlorides  \
2046            8.3              0.33         0.43            9.20      0.046   
356             7.3              0.22         0.37           14.30      0.063   
3541            8.1              0.26         0.27            4.30      0.030   
3114            6.3              0.17         0.32            4.20      0.040   
469             7.2              0.29         0.53           18.15      0.047   
...             ...               ...          ...             ...        ...   
527             6.1              0.28         0.22            1.80      0.034   
1932            9.2              0.71         0.23            6.20      0.042   
2941            7.2              0.30         0.30            8.70      0.022   
4468            6.2              0.21         0.24            1.20      0.051   
3643            6.8              0.19         0.33            4.90      0.047   

      free sulfur dioxide  total sulfur dioxide  density    pH  sulphates  \
2046                 22.0                 126.0  0.99820  3.38       0.47   
356                  48.0                 191.0  0.99780  2.89       0.38   
3541                 43.0                 123.0  0.99212  3.16       0.33   
3114                 37.0                 117.0  0.99182  3.24       0.43   
469                  59.0                 182.0  0.99920  3.09       0.52   
...                   ...                   ...      ...   ...        ...   
527                  32.0                 116.0  0.98980  3.36       0.44   
1932                 15.0                  93.0  0.99480  2.89       0.34   
2941                 14.0                 111.0  0.99576  3.11       0.61   
4468                 31.0                  95.0  0.99036  3.24       0.57   
3643                 42.0                 130.0  0.99283  3.12       0.56   

      alcohol  
2046      9.3  
356       9.0  
3541     11.2  
3114     11.3  
469       9.6  
...       ...  
527      12.6  
1932     10.1  
2941     10.6  
4468     11.3  
3643     11.0  

[2448 rows x 11 columns])' and kwargs '{}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.ensemble._forest.RandomForestClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(RandomForestClassifier(n_estimators=25),       fixed acidity  volatile acidity  citric acid  residual sugar  chlorides  \
2046            8.3              0.33         0.43            9.20      0.046   
356             7.3              0.22         0.37           14.30      0.063   
3541            8.1              0.26         0.27            4.30      0.030   
3114            6.3              0.17         0.32            4.20      0.040   
469             7.2              0.29         0.53           18.15      0.047   
...             ...               ...          ...             ...        ...   
527             6.1              0.28         0.22            1.80      0.034   
1932            9.2              0.71         0.23            6.20      0.042   
2941            7.2              0.30         0.30            8.70      0.022   
4468            6.2              0.21         0.24            1.20      0.051   
3643            6.8              0.19         0.33            4.90      0.047   

      free sulfur dioxide  total sulfur dioxide  density    pH  sulphates  \
2046                 22.0                 126.0  0.99820  3.38       0.47   
356                  48.0                 191.0  0.99780  2.89       0.38   
3541                 43.0                 123.0  0.99212  3.16       0.33   
3114                 37.0                 117.0  0.99182  3.24       0.43   
469                  59.0                 182.0  0.99920  3.09       0.52   
...                   ...                   ...      ...   ...        ...   
527                  32.0                 116.0  0.98980  3.36       0.44   
1932                 15.0                  93.0  0.99480  2.89       0.34   
2941                 14.0                 111.0  0.99576  3.11       0.61   
4468                 31.0                  95.0  0.99036  3.24       0.57   
3643                 42.0                 130.0  0.99283  3.12       0.56   

      alcohol  
2046      9.3  
356       9.0  
3541     11.2  
3114     11.3  
469       9.6  
...       ...  
527      12.6  
1932     10.1  
2941     10.6  
4468     11.3  
3643     11.0  

[2448 rows x 11 columns])' and kwargs '{}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.ensemble._forest.RandomForestClassifier'>.predict' for sklearn autologging. Original function was invoked with with args '(RandomForestClassifier(n_estimators=25),       fixed acidity  volatile acidity  citric acid  residual sugar  chlorides  \
2046            8.3              0.33         0.43            9.20      0.046   
356             7.3              0.22         0.37           14.30      0.063   
3541            8.1              0.26         0.27            4.30      0.030   
3114            6.3              0.17         0.32            4.20      0.040   
469             7.2              0.29         0.53           18.15      0.047   
...             ...               ...          ...             ...        ...   
527             6.1              0.28         0.22            1.80      0.034   
1932            9.2              0.71         0.23            6.20      0.042   
2941            7.2              0.30         0.30            8.70      0.022   
4468            6.2              0.21         0.24            1.20      0.051   
3643            6.8              0.19         0.33            4.90      0.047   

      free sulfur dioxide  total sulfur dioxide  density    pH  sulphates  \
2046                 22.0                 126.0  0.99820  3.38       0.47   
356                  48.0                 191.0  0.99780  2.89       0.38   
3541                 43.0                 123.0  0.99212  3.16       0.33   
3114                 37.0                 117.0  0.99182  3.24       0.43   
469                  59.0                 182.0  0.99920  3.09       0.52   
...                   ...                   ...      ...   ...        ...   
527                  32.0                 116.0  0.98980  3.36       0.44   
1932                 15.0                  93.0  0.99480  2.89       0.34   
2941                 14.0                 111.0  0.99576  3.11       0.61   
4468                 31.0                  95.0  0.99036  3.24       0.57   
3643                 42.0                 130.0  0.99283  3.12       0.56   

      alcohol  
2046      9.3  
356       9.0  
3541     11.2  
3114     11.3  
469       9.6  
...       ...  
527      12.6  
1932     10.1  
2941     10.6  
4468     11.3  
3643     11.0  

[2448 rows x 11 columns])' and kwargs '{}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.ensemble._forest.RandomForestClassifier'>.predict' for sklearn autologging completed successfully. Patched ML API was called with args '(RandomForestClassifier(n_estimators=25),       fixed acidity  volatile acidity  citric acid  residual sugar  chlorides  \
2046            8.3              0.33         0.43            9.20      0.046   
356             7.3              0.22         0.37           14.30      0.063   
3541            8.1              0.26         0.27            4.30      0.030   
3114            6.3              0.17         0.32            4.20      0.040   
469             7.2              0.29         0.53           18.15      0.047   
...             ...               ...          ...             ...        ...   
527             6.1              0.28         0.22            1.80      0.034   
1932            9.2              0.71         0.23            6.20      0.042   
2941            7.2              0.30         0.30            8.70      0.022   
4468            6.2              0.21         0.24            1.20      0.051   
3643            6.8              0.19         0.33            4.90      0.047   

      free sulfur dioxide  total sulfur dioxide  density    pH  sulphates  \
2046                 22.0                 126.0  0.99820  3.38       0.47   
356                  48.0                 191.0  0.99780  2.89       0.38   
3541                 43.0                 123.0  0.99212  3.16       0.33   
3114                 37.0                 117.0  0.99182  3.24       0.43   
469                  59.0                 182.0  0.99920  3.09       0.52   
...                   ...                   ...      ...   ...        ...   
527                  32.0                 116.0  0.98980  3.36       0.44   
1932                 15.0                  93.0  0.99480  2.89       0.34   
2941                 14.0                 111.0  0.99576  3.11       0.61   
4468                 31.0                  95.0  0.99036  3.24       0.57   
3643                 42.0                 130.0  0.99283  3.12       0.56   

      alcohol  
2046      9.3  
356       9.0  
3541     11.2  
3114     11.3  
469       9.6  
...       ...  
527      12.6  
1932     10.1  
2941     10.6  
4468     11.3  
3643     11.0  

[2448 rows x 11 columns])' and kwargs '{}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.ensemble._forest.RandomForestClassifier'>.predict_proba' for sklearn autologging with args '(RandomForestClassifier(n_estimators=25),       fixed acidity  volatile acidity  citric acid  residual sugar  chlorides  \
2046            8.3              0.33         0.43            9.20      0.046   
356             7.3              0.22         0.37           14.30      0.063   
3541            8.1              0.26         0.27            4.30      0.030   
3114            6.3              0.17         0.32            4.20      0.040   
469             7.2              0.29         0.53           18.15      0.047   
...             ...               ...          ...             ...        ...   
527             6.1              0.28         0.22            1.80      0.034   
1932            9.2              0.71         0.23            6.20      0.042   
2941            7.2              0.30         0.30            8.70      0.022   
4468            6.2              0.21         0.24            1.20      0.051   
3643            6.8              0.19         0.33            4.90      0.047   

      free sulfur dioxide  total sulfur dioxide  density    pH  sulphates  \
2046                 22.0                 126.0  0.99820  3.38       0.47   
356                  48.0                 191.0  0.99780  2.89       0.38   
3541                 43.0                 123.0  0.99212  3.16       0.33   
3114                 37.0                 117.0  0.99182  3.24       0.43   
469                  59.0                 182.0  0.99920  3.09       0.52   
...                   ...                   ...      ...   ...        ...   
527                  32.0                 116.0  0.98980  3.36       0.44   
1932                 15.0                  93.0  0.99480  2.89       0.34   
2941                 14.0                 111.0  0.99576  3.11       0.61   
4468                 31.0                  95.0  0.99036  3.24       0.57   
3643                 42.0                 130.0  0.99283  3.12       0.56   

      alcohol  
2046      9.3  
356       9.0  
3541     11.2  
3114     11.3  
469       9.6  
...       ...  
527      12.6  
1932     10.1  
2941     10.6  
4468     11.3  
3643     11.0  

[2448 rows x 11 columns])' and kwargs '{}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.ensemble._forest.RandomForestClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(RandomForestClassifier(n_estimators=25),       fixed acidity  volatile acidity  citric acid  residual sugar  chlorides  \
2046            8.3              0.33         0.43            9.20      0.046   
356             7.3              0.22         0.37           14.30      0.063   
3541            8.1              0.26         0.27            4.30      0.030   
3114            6.3              0.17         0.32            4.20      0.040   
469             7.2              0.29         0.53           18.15      0.047   
...             ...               ...          ...             ...        ...   
527             6.1              0.28         0.22            1.80      0.034   
1932            9.2              0.71         0.23            6.20      0.042   
2941            7.2              0.30         0.30            8.70      0.022   
4468            6.2              0.21         0.24            1.20      0.051   
3643            6.8              0.19         0.33            4.90      0.047   

      free sulfur dioxide  total sulfur dioxide  density    pH  sulphates  \
2046                 22.0                 126.0  0.99820  3.38       0.47   
356                  48.0                 191.0  0.99780  2.89       0.38   
3541                 43.0                 123.0  0.99212  3.16       0.33   
3114                 37.0                 117.0  0.99182  3.24       0.43   
469                  59.0                 182.0  0.99920  3.09       0.52   
...                   ...                   ...      ...   ...        ...   
527                  32.0                 116.0  0.98980  3.36       0.44   
1932                 15.0                  93.0  0.99480  2.89       0.34   
2941                 14.0                 111.0  0.99576  3.11       0.61   
4468                 31.0                  95.0  0.99036  3.24       0.57   
3643                 42.0                 130.0  0.99283  3.12       0.56   

      alcohol  
2046      9.3  
356       9.0  
3541     11.2  
3114     11.3  
469       9.6  
...       ...  
527      12.6  
1932     10.1  
2941     10.6  
4468     11.3  
3643     11.0  

[2448 rows x 11 columns])' and kwargs '{}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1503144821), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1503144821), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1503144821), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1503144821), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1756899350), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1756899350), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1756899350), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1756899350), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=503712351), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=503712351), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=503712351), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=503712351), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1830641452), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1830641452), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1830641452), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1830641452), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=564291510), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=564291510), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=564291510), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=564291510), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1350014931), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1350014931), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1350014931), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1350014931), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=355903341), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=355903341), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=355903341), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=355903341), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1608240563), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1608240563), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1608240563), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1608240563), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1514978177), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1514978177), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1514978177), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1514978177), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1933344888), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1933344888), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1933344888), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1933344888), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2139888806), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2139888806), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2139888806), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2139888806), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=389292234), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=389292234), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=389292234), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=389292234), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=93203662), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=93203662), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=93203662), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=93203662), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=165299253), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=165299253), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=165299253), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=165299253), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=338853025), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=338853025), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=338853025), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=338853025), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1321339288), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1321339288), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1321339288), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1321339288), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=153652917), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=153652917), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=153652917), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=153652917), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1965061364), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1965061364), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1965061364), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1965061364), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=628206093), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=628206093), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=628206093), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=628206093), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1894823798), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1894823798), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1894823798), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1894823798), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1287369901), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1287369901), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1287369901), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1287369901), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1266790438), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:41 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1266790438), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1266790438), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1266790438), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1853005276), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1853005276), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1853005276), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1853005276), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1753139428), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1753139428), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1753139428), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1753139428), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=358291864), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=358291864), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=358291864), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=358291864), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.ensemble._forest.RandomForestClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(RandomForestClassifier(n_estimators=25),       fixed acidity  volatile acidity  citric acid  residual sugar  chlorides  \
2046            8.3              0.33         0.43            9.20      0.046   
356             7.3              0.22         0.37           14.30      0.063   
3541            8.1              0.26         0.27            4.30      0.030   
3114            6.3              0.17         0.32            4.20      0.040   
469             7.2              0.29         0.53           18.15      0.047   
...             ...               ...          ...             ...        ...   
527             6.1              0.28         0.22            1.80      0.034   
1932            9.2              0.71         0.23            6.20      0.042   
2941            7.2              0.30         0.30            8.70      0.022   
4468            6.2              0.21         0.24            1.20      0.051   
3643            6.8              0.19         0.33            4.90      0.047   

      free sulfur dioxide  total sulfur dioxide  density    pH  sulphates  \
2046                 22.0                 126.0  0.99820  3.38       0.47   
356                  48.0                 191.0  0.99780  2.89       0.38   
3541                 43.0                 123.0  0.99212  3.16       0.33   
3114                 37.0                 117.0  0.99182  3.24       0.43   
469                  59.0                 182.0  0.99920  3.09       0.52   
...                   ...                   ...      ...   ...        ...   
527                  32.0                 116.0  0.98980  3.36       0.44   
1932                 15.0                  93.0  0.99480  2.89       0.34   
2941                 14.0                 111.0  0.99576  3.11       0.61   
4468                 31.0                  95.0  0.99036  3.24       0.57   
3643                 42.0                 130.0  0.99283  3.12       0.56   

      alcohol  
2046      9.3  
356       9.0  
3541     11.2  
3114     11.3  
469       9.6  
...       ...  
527      12.6  
1932     10.1  
2941     10.6  
4468     11.3  
3643     11.0  

[2448 rows x 11 columns])' and kwargs '{}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.ensemble._forest.RandomForestClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(RandomForestClassifier(n_estimators=25),       fixed acidity  volatile acidity  citric acid  residual sugar  chlorides  \
2046            8.3              0.33         0.43            9.20      0.046   
356             7.3              0.22         0.37           14.30      0.063   
3541            8.1              0.26         0.27            4.30      0.030   
3114            6.3              0.17         0.32            4.20      0.040   
469             7.2              0.29         0.53           18.15      0.047   
...             ...               ...          ...             ...        ...   
527             6.1              0.28         0.22            1.80      0.034   
1932            9.2              0.71         0.23            6.20      0.042   
2941            7.2              0.30         0.30            8.70      0.022   
4468            6.2              0.21         0.24            1.20      0.051   
3643            6.8              0.19         0.33            4.90      0.047   

      free sulfur dioxide  total sulfur dioxide  density    pH  sulphates  \
2046                 22.0                 126.0  0.99820  3.38       0.47   
356                  48.0                 191.0  0.99780  2.89       0.38   
3541                 43.0                 123.0  0.99212  3.16       0.33   
3114                 37.0                 117.0  0.99182  3.24       0.43   
469                  59.0                 182.0  0.99920  3.09       0.52   
...                   ...                   ...      ...   ...        ...   
527                  32.0                 116.0  0.98980  3.36       0.44   
1932                 15.0                  93.0  0.99480  2.89       0.34   
2941                 14.0                 111.0  0.99576  3.11       0.61   
4468                 31.0                  95.0  0.99036  3.24       0.57   
3643                 42.0                 130.0  0.99283  3.12       0.56   

      alcohol  
2046      9.3  
356       9.0  
3541     11.2  
3114     11.3  
469       9.6  
...       ...  
527      12.6  
1932     10.1  
2941     10.6  
4468     11.3  
3643     11.0  

[2448 rows x 11 columns])' and kwargs '{}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<module 'sklearn.metrics' from '/anaconda/envs/azureml_py310_sdkv2/lib/python3.10/site-packages/sklearn/metrics/__init__.py'>.precision_score' for sklearn autologging with args '()' and kwargs '{'y_true': 2046    0
356     1
3541    1
3114    1
469     0
       ..
527     1
1932    1
2941    0
4468    1
3643    1
Name: quality, Length: 2448, dtype: int64, 'y_pred': array([0, 1, 1, ..., 0, 1, 1]), 'pos_label': None, 'average': 'weighted', 'sample_weight': None}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<module 'sklearn.metrics' from '/anaconda/envs/azureml_py310_sdkv2/lib/python3.10/site-packages/sklearn/metrics/__init__.py'>.precision_score' for sklearn autologging. Original function was invoked with args '()' and kwargs '{'y_true': 2046    0
356     1
3541    1
3114    1
469     0
       ..
527     1
1932    1
2941    0
4468    1
3643    1
Name: quality, Length: 2448, dtype: int64, 'y_pred': array([0, 1, 1, ..., 0, 1, 1]), 'pos_label': None, 'average': 'weighted', 'sample_weight': None}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<module 'sklearn.metrics' from '/anaconda/envs/azureml_py310_sdkv2/lib/python3.10/site-packages/sklearn/metrics/__init__.py'>.precision_score' for sklearn autologging. Original function was invoked with with args '()' and kwargs '{'y_true': 2046    0
356     1
3541    1
3114    1
469     0
       ..
527     1
1932    1
2941    0
4468    1
3643    1
Name: quality, Length: 2448, dtype: int64, 'y_pred': array([0, 1, 1, ..., 0, 1, 1]), 'pos_label': None, 'average': 'weighted', 'sample_weight': None}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Patched API call '<module 'sklearn.metrics' from '/anaconda/envs/azureml_py310_sdkv2/lib/python3.10/site-packages/sklearn/metrics/__init__.py'>.precision_score' for sklearn autologging completed successfully. Patched ML API was called with args '()' and kwargs '{'y_true': 2046    0
356     1
3541    1
3114    1
469     0
       ..
527     1
1932    1
2941    0
4468    1
3643    1
Name: quality, Length: 2448, dtype: int64, 'y_pred': array([0, 1, 1, ..., 0, 1, 1]), 'pos_label': None, 'average': 'weighted', 'sample_weight': None}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<module 'sklearn.metrics' from '/anaconda/envs/azureml_py310_sdkv2/lib/python3.10/site-packages/sklearn/metrics/__init__.py'>.recall_score' for sklearn autologging with args '()' and kwargs '{'y_true': 2046    0
356     1
3541    1
3114    1
469     0
       ..
527     1
1932    1
2941    0
4468    1
3643    1
Name: quality, Length: 2448, dtype: int64, 'y_pred': array([0, 1, 1, ..., 0, 1, 1]), 'pos_label': None, 'average': 'weighted', 'sample_weight': None}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<module 'sklearn.metrics' from '/anaconda/envs/azureml_py310_sdkv2/lib/python3.10/site-packages/sklearn/metrics/__init__.py'>.recall_score' for sklearn autologging. Original function was invoked with args '()' and kwargs '{'y_true': 2046    0
356     1
3541    1
3114    1
469     0
       ..
527     1
1932    1
2941    0
4468    1
3643    1
Name: quality, Length: 2448, dtype: int64, 'y_pred': array([0, 1, 1, ..., 0, 1, 1]), 'pos_label': None, 'average': 'weighted', 'sample_weight': None}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<module 'sklearn.metrics' from '/anaconda/envs/azureml_py310_sdkv2/lib/python3.10/site-packages/sklearn/metrics/__init__.py'>.recall_score' for sklearn autologging. Original function was invoked with with args '()' and kwargs '{'y_true': 2046    0
356     1
3541    1
3114    1
469     0
       ..
527     1
1932    1
2941    0
4468    1
3643    1
Name: quality, Length: 2448, dtype: int64, 'y_pred': array([0, 1, 1, ..., 0, 1, 1]), 'pos_label': None, 'average': 'weighted', 'sample_weight': None}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Patched API call '<module 'sklearn.metrics' from '/anaconda/envs/azureml_py310_sdkv2/lib/python3.10/site-packages/sklearn/metrics/__init__.py'>.recall_score' for sklearn autologging completed successfully. Patched ML API was called with args '()' and kwargs '{'y_true': 2046    0
356     1
3541    1
3114    1
469     0
       ..
527     1
1932    1
2941    0
4468    1
3643    1
Name: quality, Length: 2448, dtype: int64, 'y_pred': array([0, 1, 1, ..., 0, 1, 1]), 'pos_label': None, 'average': 'weighted', 'sample_weight': None}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<module 'sklearn.metrics' from '/anaconda/envs/azureml_py310_sdkv2/lib/python3.10/site-packages/sklearn/metrics/__init__.py'>.f1_score' for sklearn autologging with args '()' and kwargs '{'y_true': 2046    0
356     1
3541    1
3114    1
469     0
       ..
527     1
1932    1
2941    0
4468    1
3643    1
Name: quality, Length: 2448, dtype: int64, 'y_pred': array([0, 1, 1, ..., 0, 1, 1]), 'pos_label': None, 'average': 'weighted', 'sample_weight': None}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<module 'sklearn.metrics' from '/anaconda/envs/azureml_py310_sdkv2/lib/python3.10/site-packages/sklearn/metrics/__init__.py'>.f1_score' for sklearn autologging. Original function was invoked with args '()' and kwargs '{'y_true': 2046    0
356     1
3541    1
3114    1
469     0
       ..
527     1
1932    1
2941    0
4468    1
3643    1
Name: quality, Length: 2448, dtype: int64, 'y_pred': array([0, 1, 1, ..., 0, 1, 1]), 'pos_label': None, 'average': 'weighted', 'sample_weight': None}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<module 'sklearn.metrics' from '/anaconda/envs/azureml_py310_sdkv2/lib/python3.10/site-packages/sklearn/metrics/__init__.py'>.f1_score' for sklearn autologging. Original function was invoked with with args '()' and kwargs '{'y_true': 2046    0
356     1
3541    1
3114    1
469     0
       ..
527     1
1932    1
2941    0
4468    1
3643    1
Name: quality, Length: 2448, dtype: int64, 'y_pred': array([0, 1, 1, ..., 0, 1, 1]), 'pos_label': None, 'average': 'weighted', 'sample_weight': None}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Patched API call '<module 'sklearn.metrics' from '/anaconda/envs/azureml_py310_sdkv2/lib/python3.10/site-packages/sklearn/metrics/__init__.py'>.f1_score' for sklearn autologging completed successfully. Patched ML API was called with args '()' and kwargs '{'y_true': 2046    0
356     1
3541    1
3114    1
469     0
       ..
527     1
1932    1
2941    0
4468    1
3643    1
Name: quality, Length: 2448, dtype: int64, 'y_pred': array([0, 1, 1, ..., 0, 1, 1]), 'pos_label': None, 'average': 'weighted', 'sample_weight': None}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<module 'sklearn.metrics' from '/anaconda/envs/azureml_py310_sdkv2/lib/python3.10/site-packages/sklearn/metrics/__init__.py'>.accuracy_score' for sklearn autologging with args '()' and kwargs '{'y_true': 2046    0
356     1
3541    1
3114    1
469     0
       ..
527     1
1932    1
2941    0
4468    1
3643    1
Name: quality, Length: 2448, dtype: int64, 'y_pred': array([0, 1, 1, ..., 0, 1, 1]), 'normalize': True, 'sample_weight': None}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<module 'sklearn.metrics' from '/anaconda/envs/azureml_py310_sdkv2/lib/python3.10/site-packages/sklearn/metrics/__init__.py'>.accuracy_score' for sklearn autologging. Original function was invoked with args '()' and kwargs '{'y_true': 2046    0
356     1
3541    1
3114    1
469     0
       ..
527     1
1932    1
2941    0
4468    1
3643    1
Name: quality, Length: 2448, dtype: int64, 'y_pred': array([0, 1, 1, ..., 0, 1, 1]), 'normalize': True, 'sample_weight': None}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<module 'sklearn.metrics' from '/anaconda/envs/azureml_py310_sdkv2/lib/python3.10/site-packages/sklearn/metrics/__init__.py'>.accuracy_score' for sklearn autologging. Original function was invoked with with args '()' and kwargs '{'y_true': 2046    0
356     1
3541    1
3114    1
469     0
       ..
527     1
1932    1
2941    0
4468    1
3643    1
Name: quality, Length: 2448, dtype: int64, 'y_pred': array([0, 1, 1, ..., 0, 1, 1]), 'normalize': True, 'sample_weight': None}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Patched API call '<module 'sklearn.metrics' from '/anaconda/envs/azureml_py310_sdkv2/lib/python3.10/site-packages/sklearn/metrics/__init__.py'>.accuracy_score' for sklearn autologging completed successfully. Patched ML API was called with args '()' and kwargs '{'y_true': 2046    0
356     1
3541    1
3114    1
469     0
       ..
527     1
1932    1
2941    0
4468    1
3643    1
Name: quality, Length: 2448, dtype: int64, 'y_pred': array([0, 1, 1, ..., 0, 1, 1]), 'normalize': True, 'sample_weight': None}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<module 'sklearn.metrics' from '/anaconda/envs/azureml_py310_sdkv2/lib/python3.10/site-packages/sklearn/metrics/__init__.py'>.log_loss' for sklearn autologging with args '()' and kwargs '{'y_true': 2046    0
356     1
3541    1
3114    1
469     0
       ..
527     1
1932    1
2941    0
4468    1
3643    1
Name: quality, Length: 2448, dtype: int64, 'y_pred': array([[0.84, 0.16],
       [0.  , 1.  ],
       [0.04, 0.96],
       ...,
       [0.8 , 0.2 ],
       [0.04, 0.96],
       [0.  , 1.  ]]), 'sample_weight': None}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<module 'sklearn.metrics' from '/anaconda/envs/azureml_py310_sdkv2/lib/python3.10/site-packages/sklearn/metrics/__init__.py'>.log_loss' for sklearn autologging. Original function was invoked with args '()' and kwargs '{'y_true': 2046    0
356     1
3541    1
3114    1
469     0
       ..
527     1
1932    1
2941    0
4468    1
3643    1
Name: quality, Length: 2448, dtype: int64, 'y_pred': array([[0.84, 0.16],
       [0.  , 1.  ],
       [0.04, 0.96],
       ...,
       [0.8 , 0.2 ],
       [0.04, 0.96],
       [0.  , 1.  ]]), 'sample_weight': None}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<module 'sklearn.metrics' from '/anaconda/envs/azureml_py310_sdkv2/lib/python3.10/site-packages/sklearn/metrics/__init__.py'>.log_loss' for sklearn autologging. Original function was invoked with with args '()' and kwargs '{'y_true': 2046    0
356     1
3541    1
3114    1
469     0
       ..
527     1
1932    1
2941    0
4468    1
3643    1
Name: quality, Length: 2448, dtype: int64, 'y_pred': array([[0.84, 0.16],
       [0.  , 1.  ],
       [0.04, 0.96],
       ...,
       [0.8 , 0.2 ],
       [0.04, 0.96],
       [0.  , 1.  ]]), 'sample_weight': None}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Patched API call '<module 'sklearn.metrics' from '/anaconda/envs/azureml_py310_sdkv2/lib/python3.10/site-packages/sklearn/metrics/__init__.py'>.log_loss' for sklearn autologging completed successfully. Patched ML API was called with args '()' and kwargs '{'y_true': 2046    0
356     1
3541    1
3114    1
469     0
       ..
527     1
1932    1
2941    0
4468    1
3643    1
Name: quality, Length: 2448, dtype: int64, 'y_pred': array([[0.84, 0.16],
       [0.  , 1.  ],
       [0.04, 0.96],
       ...,
       [0.8 , 0.2 ],
       [0.04, 0.96],
       [0.  , 1.  ]]), 'sample_weight': None}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<module 'sklearn.metrics' from '/anaconda/envs/azureml_py310_sdkv2/lib/python3.10/site-packages/sklearn/metrics/__init__.py'>.roc_auc_score' for sklearn autologging with args '()' and kwargs '{'y_true': 2046    0
356     1
3541    1
3114    1
469     0
       ..
527     1
1932    1
2941    0
4468    1
3643    1
Name: quality, Length: 2448, dtype: int64, 'y_score': array([0.16, 1.  , 0.96, ..., 0.2 , 0.96, 1.  ]), 'average': 'weighted', 'sample_weight': None, 'multi_class': 'ovo'}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<module 'sklearn.metrics' from '/anaconda/envs/azureml_py310_sdkv2/lib/python3.10/site-packages/sklearn/metrics/__init__.py'>.roc_auc_score' for sklearn autologging. Original function was invoked with args '()' and kwargs '{'y_true': 2046    0
356     1
3541    1
3114    1
469     0
       ..
527     1
1932    1
2941    0
4468    1
3643    1
Name: quality, Length: 2448, dtype: int64, 'y_score': array([0.16, 1.  , 0.96, ..., 0.2 , 0.96, 1.  ]), 'average': 'weighted', 'sample_weight': None, 'multi_class': 'ovo'}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<module 'sklearn.metrics' from '/anaconda/envs/azureml_py310_sdkv2/lib/python3.10/site-packages/sklearn/metrics/__init__.py'>.roc_auc_score' for sklearn autologging. Original function was invoked with with args '()' and kwargs '{'y_true': 2046    0
356     1
3541    1
3114    1
469     0
       ..
527     1
1932    1
2941    0
4468    1
3643    1
Name: quality, Length: 2448, dtype: int64, 'y_score': array([0.16, 1.  , 0.96, ..., 0.2 , 0.96, 1.  ]), 'average': 'weighted', 'sample_weight': None, 'multi_class': 'ovo'}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Patched API call '<module 'sklearn.metrics' from '/anaconda/envs/azureml_py310_sdkv2/lib/python3.10/site-packages/sklearn/metrics/__init__.py'>.roc_auc_score' for sklearn autologging completed successfully. Patched ML API was called with args '()' and kwargs '{'y_true': 2046    0
356     1
3541    1
3114    1
469     0
       ..
527     1
1932    1
2941    0
4468    1
3643    1
Name: quality, Length: 2448, dtype: int64, 'y_score': array([0.16, 1.  , 0.96, ..., 0.2 , 0.96, 1.  ]), 'average': 'weighted', 'sample_weight': None, 'multi_class': 'ovo'}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.ensemble._forest.RandomForestClassifier'>.predict' for sklearn autologging with args '(RandomForestClassifier(n_estimators=25),       fixed acidity  volatile acidity  citric acid  residual sugar  chlorides  \
2046            8.3              0.33         0.43            9.20      0.046   
356             7.3              0.22         0.37           14.30      0.063   
3541            8.1              0.26         0.27            4.30      0.030   
3114            6.3              0.17         0.32            4.20      0.040   
469             7.2              0.29         0.53           18.15      0.047   
...             ...               ...          ...             ...        ...   
527             6.1              0.28         0.22            1.80      0.034   
1932            9.2              0.71         0.23            6.20      0.042   
2941            7.2              0.30         0.30            8.70      0.022   
4468            6.2              0.21         0.24            1.20      0.051   
3643            6.8              0.19         0.33            4.90      0.047   

      free sulfur dioxide  total sulfur dioxide  density    pH  sulphates  \
2046                 22.0                 126.0  0.99820  3.38       0.47   
356                  48.0                 191.0  0.99780  2.89       0.38   
3541                 43.0                 123.0  0.99212  3.16       0.33   
3114                 37.0                 117.0  0.99182  3.24       0.43   
469                  59.0                 182.0  0.99920  3.09       0.52   
...                   ...                   ...      ...   ...        ...   
527                  32.0                 116.0  0.98980  3.36       0.44   
1932                 15.0                  93.0  0.99480  2.89       0.34   
2941                 14.0                 111.0  0.99576  3.11       0.61   
4468                 31.0                  95.0  0.99036  3.24       0.57   
3643                 42.0                 130.0  0.99283  3.12       0.56   

      alcohol  
2046      9.3  
356       9.0  
3541     11.2  
3114     11.3  
469       9.6  
...       ...  
527      12.6  
1932     10.1  
2941     10.6  
4468     11.3  
3643     11.0  

[2448 rows x 11 columns])' and kwargs '{}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.ensemble._forest.RandomForestClassifier'>.predict' for sklearn autologging. Original function was invoked with args '(RandomForestClassifier(n_estimators=25),       fixed acidity  volatile acidity  citric acid  residual sugar  chlorides  \
2046            8.3              0.33         0.43            9.20      0.046   
356             7.3              0.22         0.37           14.30      0.063   
3541            8.1              0.26         0.27            4.30      0.030   
3114            6.3              0.17         0.32            4.20      0.040   
469             7.2              0.29         0.53           18.15      0.047   
...             ...               ...          ...             ...        ...   
527             6.1              0.28         0.22            1.80      0.034   
1932            9.2              0.71         0.23            6.20      0.042   
2941            7.2              0.30         0.30            8.70      0.022   
4468            6.2              0.21         0.24            1.20      0.051   
3643            6.8              0.19         0.33            4.90      0.047   

      free sulfur dioxide  total sulfur dioxide  density    pH  sulphates  \
2046                 22.0                 126.0  0.99820  3.38       0.47   
356                  48.0                 191.0  0.99780  2.89       0.38   
3541                 43.0                 123.0  0.99212  3.16       0.33   
3114                 37.0                 117.0  0.99182  3.24       0.43   
469                  59.0                 182.0  0.99920  3.09       0.52   
...                   ...                   ...      ...   ...        ...   
527                  32.0                 116.0  0.98980  3.36       0.44   
1932                 15.0                  93.0  0.99480  2.89       0.34   
2941                 14.0                 111.0  0.99576  3.11       0.61   
4468                 31.0                  95.0  0.99036  3.24       0.57   
3643                 42.0                 130.0  0.99283  3.12       0.56   

      alcohol  
2046      9.3  
356       9.0  
3541     11.2  
3114     11.3  
469       9.6  
...       ...  
527      12.6  
1932     10.1  
2941     10.6  
4468     11.3  
3643     11.0  

[2448 rows x 11 columns])' and kwargs '{}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.ensemble._forest.RandomForestClassifier'>.predict_proba' for sklearn autologging with args '(RandomForestClassifier(n_estimators=25),       fixed acidity  volatile acidity  citric acid  residual sugar  chlorides  \
2046            8.3              0.33         0.43            9.20      0.046   
356             7.3              0.22         0.37           14.30      0.063   
3541            8.1              0.26         0.27            4.30      0.030   
3114            6.3              0.17         0.32            4.20      0.040   
469             7.2              0.29         0.53           18.15      0.047   
...             ...               ...          ...             ...        ...   
527             6.1              0.28         0.22            1.80      0.034   
1932            9.2              0.71         0.23            6.20      0.042   
2941            7.2              0.30         0.30            8.70      0.022   
4468            6.2              0.21         0.24            1.20      0.051   
3643            6.8              0.19         0.33            4.90      0.047   

      free sulfur dioxide  total sulfur dioxide  density    pH  sulphates  \
2046                 22.0                 126.0  0.99820  3.38       0.47   
356                  48.0                 191.0  0.99780  2.89       0.38   
3541                 43.0                 123.0  0.99212  3.16       0.33   
3114                 37.0                 117.0  0.99182  3.24       0.43   
469                  59.0                 182.0  0.99920  3.09       0.52   
...                   ...                   ...      ...   ...        ...   
527                  32.0                 116.0  0.98980  3.36       0.44   
1932                 15.0                  93.0  0.99480  2.89       0.34   
2941                 14.0                 111.0  0.99576  3.11       0.61   
4468                 31.0                  95.0  0.99036  3.24       0.57   
3643                 42.0                 130.0  0.99283  3.12       0.56   

      alcohol  
2046      9.3  
356       9.0  
3541     11.2  
3114     11.3  
469       9.6  
...       ...  
527      12.6  
1932     10.1  
2941     10.6  
4468     11.3  
3643     11.0  

[2448 rows x 11 columns])' and kwargs '{}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.ensemble._forest.RandomForestClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(RandomForestClassifier(n_estimators=25),       fixed acidity  volatile acidity  citric acid  residual sugar  chlorides  \
2046            8.3              0.33         0.43            9.20      0.046   
356             7.3              0.22         0.37           14.30      0.063   
3541            8.1              0.26         0.27            4.30      0.030   
3114            6.3              0.17         0.32            4.20      0.040   
469             7.2              0.29         0.53           18.15      0.047   
...             ...               ...          ...             ...        ...   
527             6.1              0.28         0.22            1.80      0.034   
1932            9.2              0.71         0.23            6.20      0.042   
2941            7.2              0.30         0.30            8.70      0.022   
4468            6.2              0.21         0.24            1.20      0.051   
3643            6.8              0.19         0.33            4.90      0.047   

      free sulfur dioxide  total sulfur dioxide  density    pH  sulphates  \
2046                 22.0                 126.0  0.99820  3.38       0.47   
356                  48.0                 191.0  0.99780  2.89       0.38   
3541                 43.0                 123.0  0.99212  3.16       0.33   
3114                 37.0                 117.0  0.99182  3.24       0.43   
469                  59.0                 182.0  0.99920  3.09       0.52   
...                   ...                   ...      ...   ...        ...   
527                  32.0                 116.0  0.98980  3.36       0.44   
1932                 15.0                  93.0  0.99480  2.89       0.34   
2941                 14.0                 111.0  0.99576  3.11       0.61   
4468                 31.0                  95.0  0.99036  3.24       0.57   
3643                 42.0                 130.0  0.99283  3.12       0.56   

      alcohol  
2046      9.3  
356       9.0  
3541     11.2  
3114     11.3  
469       9.6  
...       ...  
527      12.6  
1932     10.1  
2941     10.6  
4468     11.3  
3643     11.0  

[2448 rows x 11 columns])' and kwargs '{}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1503144821), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1503144821), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1503144821), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1503144821), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1756899350), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1756899350), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1756899350), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1756899350), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=503712351), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=503712351), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=503712351), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=503712351), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1830641452), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1830641452), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1830641452), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1830641452), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=564291510), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=564291510), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=564291510), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=564291510), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1350014931), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1350014931), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1350014931), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1350014931), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=355903341), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=355903341), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=355903341), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=355903341), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1608240563), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1608240563), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1608240563), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1608240563), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1514978177), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1514978177), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1514978177), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1514978177), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1933344888), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1933344888), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1933344888), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1933344888), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2139888806), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2139888806), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2139888806), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2139888806), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=389292234), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=389292234), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=389292234), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=389292234), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=93203662), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=93203662), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=93203662), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=93203662), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=165299253), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=165299253), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=165299253), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=165299253), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=338853025), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=338853025), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=338853025), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=338853025), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1321339288), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1321339288), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1321339288), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1321339288), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=153652917), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=153652917), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=153652917), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=153652917), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1965061364), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1965061364), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1965061364), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1965061364), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=628206093), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=628206093), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=628206093), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=628206093), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1894823798), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1894823798), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1894823798), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1894823798), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1287369901), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1287369901), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1287369901), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1287369901), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1266790438), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1266790438), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1266790438), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1266790438), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1853005276), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1853005276), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1853005276), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1853005276), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1753139428), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1753139428), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1753139428), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1753139428), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=358291864), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=358291864), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=358291864), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=358291864), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.ensemble._forest.RandomForestClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(RandomForestClassifier(n_estimators=25),       fixed acidity  volatile acidity  citric acid  residual sugar  chlorides  \
2046            8.3              0.33         0.43            9.20      0.046   
356             7.3              0.22         0.37           14.30      0.063   
3541            8.1              0.26         0.27            4.30      0.030   
3114            6.3              0.17         0.32            4.20      0.040   
469             7.2              0.29         0.53           18.15      0.047   
...             ...               ...          ...             ...        ...   
527             6.1              0.28         0.22            1.80      0.034   
1932            9.2              0.71         0.23            6.20      0.042   
2941            7.2              0.30         0.30            8.70      0.022   
4468            6.2              0.21         0.24            1.20      0.051   
3643            6.8              0.19         0.33            4.90      0.047   

      free sulfur dioxide  total sulfur dioxide  density    pH  sulphates  \
2046                 22.0                 126.0  0.99820  3.38       0.47   
356                  48.0                 191.0  0.99780  2.89       0.38   
3541                 43.0                 123.0  0.99212  3.16       0.33   
3114                 37.0                 117.0  0.99182  3.24       0.43   
469                  59.0                 182.0  0.99920  3.09       0.52   
...                   ...                   ...      ...   ...        ...   
527                  32.0                 116.0  0.98980  3.36       0.44   
1932                 15.0                  93.0  0.99480  2.89       0.34   
2941                 14.0                 111.0  0.99576  3.11       0.61   
4468                 31.0                  95.0  0.99036  3.24       0.57   
3643                 42.0                 130.0  0.99283  3.12       0.56   

      alcohol  
2046      9.3  
356       9.0  
3541     11.2  
3114     11.3  
469       9.6  
...       ...  
527      12.6  
1932     10.1  
2941     10.6  
4468     11.3  
3643     11.0  

[2448 rows x 11 columns])' and kwargs '{}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.ensemble._forest.RandomForestClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(RandomForestClassifier(n_estimators=25),       fixed acidity  volatile acidity  citric acid  residual sugar  chlorides  \
2046            8.3              0.33         0.43            9.20      0.046   
356             7.3              0.22         0.37           14.30      0.063   
3541            8.1              0.26         0.27            4.30      0.030   
3114            6.3              0.17         0.32            4.20      0.040   
469             7.2              0.29         0.53           18.15      0.047   
...             ...               ...          ...             ...        ...   
527             6.1              0.28         0.22            1.80      0.034   
1932            9.2              0.71         0.23            6.20      0.042   
2941            7.2              0.30         0.30            8.70      0.022   
4468            6.2              0.21         0.24            1.20      0.051   
3643            6.8              0.19         0.33            4.90      0.047   

      free sulfur dioxide  total sulfur dioxide  density    pH  sulphates  \
2046                 22.0                 126.0  0.99820  3.38       0.47   
356                  48.0                 191.0  0.99780  2.89       0.38   
3541                 43.0                 123.0  0.99212  3.16       0.33   
3114                 37.0                 117.0  0.99182  3.24       0.43   
469                  59.0                 182.0  0.99920  3.09       0.52   
...                   ...                   ...      ...   ...        ...   
527                  32.0                 116.0  0.98980  3.36       0.44   
1932                 15.0                  93.0  0.99480  2.89       0.34   
2941                 14.0                 111.0  0.99576  3.11       0.61   
4468                 31.0                  95.0  0.99036  3.24       0.57   
3643                 42.0                 130.0  0.99283  3.12       0.56   

      alcohol  
2046      9.3  
356       9.0  
3541     11.2  
3114     11.3  
469       9.6  
...       ...  
527      12.6  
1932     10.1  
2941     10.6  
4468     11.3  
3643     11.0  

[2448 rows x 11 columns])' and kwargs '{}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.ensemble._forest.RandomForestClassifier'>.predict' for sklearn autologging. Original function was invoked with with args '(RandomForestClassifier(n_estimators=25),       fixed acidity  volatile acidity  citric acid  residual sugar  chlorides  \
2046            8.3              0.33         0.43            9.20      0.046   
356             7.3              0.22         0.37           14.30      0.063   
3541            8.1              0.26         0.27            4.30      0.030   
3114            6.3              0.17         0.32            4.20      0.040   
469             7.2              0.29         0.53           18.15      0.047   
...             ...               ...          ...             ...        ...   
527             6.1              0.28         0.22            1.80      0.034   
1932            9.2              0.71         0.23            6.20      0.042   
2941            7.2              0.30         0.30            8.70      0.022   
4468            6.2              0.21         0.24            1.20      0.051   
3643            6.8              0.19         0.33            4.90      0.047   

      free sulfur dioxide  total sulfur dioxide  density    pH  sulphates  \
2046                 22.0                 126.0  0.99820  3.38       0.47   
356                  48.0                 191.0  0.99780  2.89       0.38   
3541                 43.0                 123.0  0.99212  3.16       0.33   
3114                 37.0                 117.0  0.99182  3.24       0.43   
469                  59.0                 182.0  0.99920  3.09       0.52   
...                   ...                   ...      ...   ...        ...   
527                  32.0                 116.0  0.98980  3.36       0.44   
1932                 15.0                  93.0  0.99480  2.89       0.34   
2941                 14.0                 111.0  0.99576  3.11       0.61   
4468                 31.0                  95.0  0.99036  3.24       0.57   
3643                 42.0                 130.0  0.99283  3.12       0.56   

      alcohol  
2046      9.3  
356       9.0  
3541     11.2  
3114     11.3  
469       9.6  
...       ...  
527      12.6  
1932     10.1  
2941     10.6  
4468     11.3  
3643     11.0  

[2448 rows x 11 columns])' and kwargs '{}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.ensemble._forest.RandomForestClassifier'>.predict' for sklearn autologging completed successfully. Patched ML API was called with args '(RandomForestClassifier(n_estimators=25),       fixed acidity  volatile acidity  citric acid  residual sugar  chlorides  \
2046            8.3              0.33         0.43            9.20      0.046   
356             7.3              0.22         0.37           14.30      0.063   
3541            8.1              0.26         0.27            4.30      0.030   
3114            6.3              0.17         0.32            4.20      0.040   
469             7.2              0.29         0.53           18.15      0.047   
...             ...               ...          ...             ...        ...   
527             6.1              0.28         0.22            1.80      0.034   
1932            9.2              0.71         0.23            6.20      0.042   
2941            7.2              0.30         0.30            8.70      0.022   
4468            6.2              0.21         0.24            1.20      0.051   
3643            6.8              0.19         0.33            4.90      0.047   

      free sulfur dioxide  total sulfur dioxide  density    pH  sulphates  \
2046                 22.0                 126.0  0.99820  3.38       0.47   
356                  48.0                 191.0  0.99780  2.89       0.38   
3541                 43.0                 123.0  0.99212  3.16       0.33   
3114                 37.0                 117.0  0.99182  3.24       0.43   
469                  59.0                 182.0  0.99920  3.09       0.52   
...                   ...                   ...      ...   ...        ...   
527                  32.0                 116.0  0.98980  3.36       0.44   
1932                 15.0                  93.0  0.99480  2.89       0.34   
2941                 14.0                 111.0  0.99576  3.11       0.61   
4468                 31.0                  95.0  0.99036  3.24       0.57   
3643                 42.0                 130.0  0.99283  3.12       0.56   

      alcohol  
2046      9.3  
356       9.0  
3541     11.2  
3114     11.3  
469       9.6  
...       ...  
527      12.6  
1932     10.1  
2941     10.6  
4468     11.3  
3643     11.0  

[2448 rows x 11 columns])' and kwargs '{}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.ensemble._forest.RandomForestClassifier'>.predict_proba' for sklearn autologging with args '(RandomForestClassifier(n_estimators=25),       fixed acidity  volatile acidity  citric acid  residual sugar  chlorides  \
2046            8.3              0.33         0.43            9.20      0.046   
356             7.3              0.22         0.37           14.30      0.063   
3541            8.1              0.26         0.27            4.30      0.030   
3114            6.3              0.17         0.32            4.20      0.040   
469             7.2              0.29         0.53           18.15      0.047   
...             ...               ...          ...             ...        ...   
527             6.1              0.28         0.22            1.80      0.034   
1932            9.2              0.71         0.23            6.20      0.042   
2941            7.2              0.30         0.30            8.70      0.022   
4468            6.2              0.21         0.24            1.20      0.051   
3643            6.8              0.19         0.33            4.90      0.047   

      free sulfur dioxide  total sulfur dioxide  density    pH  sulphates  \
2046                 22.0                 126.0  0.99820  3.38       0.47   
356                  48.0                 191.0  0.99780  2.89       0.38   
3541                 43.0                 123.0  0.99212  3.16       0.33   
3114                 37.0                 117.0  0.99182  3.24       0.43   
469                  59.0                 182.0  0.99920  3.09       0.52   
...                   ...                   ...      ...   ...        ...   
527                  32.0                 116.0  0.98980  3.36       0.44   
1932                 15.0                  93.0  0.99480  2.89       0.34   
2941                 14.0                 111.0  0.99576  3.11       0.61   
4468                 31.0                  95.0  0.99036  3.24       0.57   
3643                 42.0                 130.0  0.99283  3.12       0.56   

      alcohol  
2046      9.3  
356       9.0  
3541     11.2  
3114     11.3  
469       9.6  
...       ...  
527      12.6  
1932     10.1  
2941     10.6  
4468     11.3  
3643     11.0  

[2448 rows x 11 columns])' and kwargs '{}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.ensemble._forest.RandomForestClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(RandomForestClassifier(n_estimators=25),       fixed acidity  volatile acidity  citric acid  residual sugar  chlorides  \
2046            8.3              0.33         0.43            9.20      0.046   
356             7.3              0.22         0.37           14.30      0.063   
3541            8.1              0.26         0.27            4.30      0.030   
3114            6.3              0.17         0.32            4.20      0.040   
469             7.2              0.29         0.53           18.15      0.047   
...             ...               ...          ...             ...        ...   
527             6.1              0.28         0.22            1.80      0.034   
1932            9.2              0.71         0.23            6.20      0.042   
2941            7.2              0.30         0.30            8.70      0.022   
4468            6.2              0.21         0.24            1.20      0.051   
3643            6.8              0.19         0.33            4.90      0.047   

      free sulfur dioxide  total sulfur dioxide  density    pH  sulphates  \
2046                 22.0                 126.0  0.99820  3.38       0.47   
356                  48.0                 191.0  0.99780  2.89       0.38   
3541                 43.0                 123.0  0.99212  3.16       0.33   
3114                 37.0                 117.0  0.99182  3.24       0.43   
469                  59.0                 182.0  0.99920  3.09       0.52   
...                   ...                   ...      ...   ...        ...   
527                  32.0                 116.0  0.98980  3.36       0.44   
1932                 15.0                  93.0  0.99480  2.89       0.34   
2941                 14.0                 111.0  0.99576  3.11       0.61   
4468                 31.0                  95.0  0.99036  3.24       0.57   
3643                 42.0                 130.0  0.99283  3.12       0.56   

      alcohol  
2046      9.3  
356       9.0  
3541     11.2  
3114     11.3  
469       9.6  
...       ...  
527      12.6  
1932     10.1  
2941     10.6  
4468     11.3  
3643     11.0  

[2448 rows x 11 columns])' and kwargs '{}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1503144821), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1503144821), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1503144821), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1503144821), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1756899350), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1756899350), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1756899350), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1756899350), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=503712351), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=503712351), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=503712351), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=503712351), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1830641452), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1830641452), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1830641452), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1830641452), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=564291510), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=564291510), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=564291510), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=564291510), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1350014931), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1350014931), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1350014931), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1350014931), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=355903341), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=355903341), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=355903341), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=355903341), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1608240563), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1608240563), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1608240563), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1608240563), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1514978177), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1514978177), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1514978177), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1514978177), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1933344888), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1933344888), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1933344888), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1933344888), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2139888806), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2139888806), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2139888806), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2139888806), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=389292234), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=389292234), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=389292234), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=389292234), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=93203662), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=93203662), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=93203662), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=93203662), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=165299253), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=165299253), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=165299253), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=165299253), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=338853025), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=338853025), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=338853025), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=338853025), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1321339288), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1321339288), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1321339288), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:42 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1321339288), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=153652917), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=153652917), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=153652917), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=153652917), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1965061364), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1965061364), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1965061364), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1965061364), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=628206093), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=628206093), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=628206093), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=628206093), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1894823798), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1894823798), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1894823798), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1894823798), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1287369901), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1287369901), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1287369901), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1287369901), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1266790438), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1266790438), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1266790438), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1266790438), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1853005276), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1853005276), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1853005276), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1853005276), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1753139428), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1753139428), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1753139428), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1753139428), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=358291864), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=358291864), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=358291864), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=358291864), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.ensemble._forest.RandomForestClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(RandomForestClassifier(n_estimators=25),       fixed acidity  volatile acidity  citric acid  residual sugar  chlorides  \
2046            8.3              0.33         0.43            9.20      0.046   
356             7.3              0.22         0.37           14.30      0.063   
3541            8.1              0.26         0.27            4.30      0.030   
3114            6.3              0.17         0.32            4.20      0.040   
469             7.2              0.29         0.53           18.15      0.047   
...             ...               ...          ...             ...        ...   
527             6.1              0.28         0.22            1.80      0.034   
1932            9.2              0.71         0.23            6.20      0.042   
2941            7.2              0.30         0.30            8.70      0.022   
4468            6.2              0.21         0.24            1.20      0.051   
3643            6.8              0.19         0.33            4.90      0.047   

      free sulfur dioxide  total sulfur dioxide  density    pH  sulphates  \
2046                 22.0                 126.0  0.99820  3.38       0.47   
356                  48.0                 191.0  0.99780  2.89       0.38   
3541                 43.0                 123.0  0.99212  3.16       0.33   
3114                 37.0                 117.0  0.99182  3.24       0.43   
469                  59.0                 182.0  0.99920  3.09       0.52   
...                   ...                   ...      ...   ...        ...   
527                  32.0                 116.0  0.98980  3.36       0.44   
1932                 15.0                  93.0  0.99480  2.89       0.34   
2941                 14.0                 111.0  0.99576  3.11       0.61   
4468                 31.0                  95.0  0.99036  3.24       0.57   
3643                 42.0                 130.0  0.99283  3.12       0.56   

      alcohol  
2046      9.3  
356       9.0  
3541     11.2  
3114     11.3  
469       9.6  
...       ...  
527      12.6  
1932     10.1  
2941     10.6  
4468     11.3  
3643     11.0  

[2448 rows x 11 columns])' and kwargs '{}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.ensemble._forest.RandomForestClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(RandomForestClassifier(n_estimators=25),       fixed acidity  volatile acidity  citric acid  residual sugar  chlorides  \
2046            8.3              0.33         0.43            9.20      0.046   
356             7.3              0.22         0.37           14.30      0.063   
3541            8.1              0.26         0.27            4.30      0.030   
3114            6.3              0.17         0.32            4.20      0.040   
469             7.2              0.29         0.53           18.15      0.047   
...             ...               ...          ...             ...        ...   
527             6.1              0.28         0.22            1.80      0.034   
1932            9.2              0.71         0.23            6.20      0.042   
2941            7.2              0.30         0.30            8.70      0.022   
4468            6.2              0.21         0.24            1.20      0.051   
3643            6.8              0.19         0.33            4.90      0.047   

      free sulfur dioxide  total sulfur dioxide  density    pH  sulphates  \
2046                 22.0                 126.0  0.99820  3.38       0.47   
356                  48.0                 191.0  0.99780  2.89       0.38   
3541                 43.0                 123.0  0.99212  3.16       0.33   
3114                 37.0                 117.0  0.99182  3.24       0.43   
469                  59.0                 182.0  0.99920  3.09       0.52   
...                   ...                   ...      ...   ...        ...   
527                  32.0                 116.0  0.98980  3.36       0.44   
1932                 15.0                  93.0  0.99480  2.89       0.34   
2941                 14.0                 111.0  0.99576  3.11       0.61   
4468                 31.0                  95.0  0.99036  3.24       0.57   
3643                 42.0                 130.0  0.99283  3.12       0.56   

      alcohol  
2046      9.3  
356       9.0  
3541     11.2  
3114     11.3  
469       9.6  
...       ...  
527      12.6  
1932     10.1  
2941     10.6  
4468     11.3  
3643     11.0  

[2448 rows x 11 columns])' and kwargs '{}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.ensemble._forest.RandomForestClassifier'>.predict_proba' for sklearn autologging with args '(RandomForestClassifier(n_estimators=25),       fixed acidity  volatile acidity  citric acid  residual sugar  chlorides  \
2046            8.3              0.33         0.43            9.20      0.046   
356             7.3              0.22         0.37           14.30      0.063   
3541            8.1              0.26         0.27            4.30      0.030   
3114            6.3              0.17         0.32            4.20      0.040   
469             7.2              0.29         0.53           18.15      0.047   
...             ...               ...          ...             ...        ...   
527             6.1              0.28         0.22            1.80      0.034   
1932            9.2              0.71         0.23            6.20      0.042   
2941            7.2              0.30         0.30            8.70      0.022   
4468            6.2              0.21         0.24            1.20      0.051   
3643            6.8              0.19         0.33            4.90      0.047   

      free sulfur dioxide  total sulfur dioxide  density    pH  sulphates  \
2046                 22.0                 126.0  0.99820  3.38       0.47   
356                  48.0                 191.0  0.99780  2.89       0.38   
3541                 43.0                 123.0  0.99212  3.16       0.33   
3114                 37.0                 117.0  0.99182  3.24       0.43   
469                  59.0                 182.0  0.99920  3.09       0.52   
...                   ...                   ...      ...   ...        ...   
527                  32.0                 116.0  0.98980  3.36       0.44   
1932                 15.0                  93.0  0.99480  2.89       0.34   
2941                 14.0                 111.0  0.99576  3.11       0.61   
4468                 31.0                  95.0  0.99036  3.24       0.57   
3643                 42.0                 130.0  0.99283  3.12       0.56   

      alcohol  
2046      9.3  
356       9.0  
3541     11.2  
3114     11.3  
469       9.6  
...       ...  
527      12.6  
1932     10.1  
2941     10.6  
4468     11.3  
3643     11.0  

[2448 rows x 11 columns])' and kwargs '{}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.ensemble._forest.RandomForestClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(RandomForestClassifier(n_estimators=25),       fixed acidity  volatile acidity  citric acid  residual sugar  chlorides  \
2046            8.3              0.33         0.43            9.20      0.046   
356             7.3              0.22         0.37           14.30      0.063   
3541            8.1              0.26         0.27            4.30      0.030   
3114            6.3              0.17         0.32            4.20      0.040   
469             7.2              0.29         0.53           18.15      0.047   
...             ...               ...          ...             ...        ...   
527             6.1              0.28         0.22            1.80      0.034   
1932            9.2              0.71         0.23            6.20      0.042   
2941            7.2              0.30         0.30            8.70      0.022   
4468            6.2              0.21         0.24            1.20      0.051   
3643            6.8              0.19         0.33            4.90      0.047   

      free sulfur dioxide  total sulfur dioxide  density    pH  sulphates  \
2046                 22.0                 126.0  0.99820  3.38       0.47   
356                  48.0                 191.0  0.99780  2.89       0.38   
3541                 43.0                 123.0  0.99212  3.16       0.33   
3114                 37.0                 117.0  0.99182  3.24       0.43   
469                  59.0                 182.0  0.99920  3.09       0.52   
...                   ...                   ...      ...   ...        ...   
527                  32.0                 116.0  0.98980  3.36       0.44   
1932                 15.0                  93.0  0.99480  2.89       0.34   
2941                 14.0                 111.0  0.99576  3.11       0.61   
4468                 31.0                  95.0  0.99036  3.24       0.57   
3643                 42.0                 130.0  0.99283  3.12       0.56   

      alcohol  
2046      9.3  
356       9.0  
3541     11.2  
3114     11.3  
469       9.6  
...       ...  
527      12.6  
1932     10.1  
2941     10.6  
4468     11.3  
3643     11.0  

[2448 rows x 11 columns])' and kwargs '{}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1503144821), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1503144821), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1503144821), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1503144821), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1756899350), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1756899350), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1756899350), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1756899350), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=503712351), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=503712351), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=503712351), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=503712351), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1830641452), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1830641452), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1830641452), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1830641452), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=564291510), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=564291510), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=564291510), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=564291510), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1350014931), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1350014931), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1350014931), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1350014931), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=355903341), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=355903341), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=355903341), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=355903341), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1608240563), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1608240563), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1608240563), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1608240563), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1514978177), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1514978177), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1514978177), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1514978177), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1933344888), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1933344888), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1933344888), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1933344888), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2139888806), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2139888806), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2139888806), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2139888806), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=389292234), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=389292234), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=389292234), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=389292234), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=93203662), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=93203662), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=93203662), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=93203662), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=165299253), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=165299253), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=165299253), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=165299253), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=338853025), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=338853025), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=338853025), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=338853025), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1321339288), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1321339288), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1321339288), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1321339288), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=153652917), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=153652917), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=153652917), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=153652917), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1965061364), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1965061364), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1965061364), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1965061364), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=628206093), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=628206093), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=628206093), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=628206093), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1894823798), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1894823798), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1894823798), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1894823798), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1287369901), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1287369901), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1287369901), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1287369901), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1266790438), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1266790438), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1266790438), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1266790438), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1853005276), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1853005276), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1853005276), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1853005276), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1753139428), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1753139428), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1753139428), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1753139428), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=358291864), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=358291864), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=358291864), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=358291864), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.ensemble._forest.RandomForestClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(RandomForestClassifier(n_estimators=25),       fixed acidity  volatile acidity  citric acid  residual sugar  chlorides  \
2046            8.3              0.33         0.43            9.20      0.046   
356             7.3              0.22         0.37           14.30      0.063   
3541            8.1              0.26         0.27            4.30      0.030   
3114            6.3              0.17         0.32            4.20      0.040   
469             7.2              0.29         0.53           18.15      0.047   
...             ...               ...          ...             ...        ...   
527             6.1              0.28         0.22            1.80      0.034   
1932            9.2              0.71         0.23            6.20      0.042   
2941            7.2              0.30         0.30            8.70      0.022   
4468            6.2              0.21         0.24            1.20      0.051   
3643            6.8              0.19         0.33            4.90      0.047   

      free sulfur dioxide  total sulfur dioxide  density    pH  sulphates  \
2046                 22.0                 126.0  0.99820  3.38       0.47   
356                  48.0                 191.0  0.99780  2.89       0.38   
3541                 43.0                 123.0  0.99212  3.16       0.33   
3114                 37.0                 117.0  0.99182  3.24       0.43   
469                  59.0                 182.0  0.99920  3.09       0.52   
...                   ...                   ...      ...   ...        ...   
527                  32.0                 116.0  0.98980  3.36       0.44   
1932                 15.0                  93.0  0.99480  2.89       0.34   
2941                 14.0                 111.0  0.99576  3.11       0.61   
4468                 31.0                  95.0  0.99036  3.24       0.57   
3643                 42.0                 130.0  0.99283  3.12       0.56   

      alcohol  
2046      9.3  
356       9.0  
3541     11.2  
3114     11.3  
469       9.6  
...       ...  
527      12.6  
1932     10.1  
2941     10.6  
4468     11.3  
3643     11.0  

[2448 rows x 11 columns])' and kwargs '{}'
2024/06/05 08:38:43 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.ensemble._forest.RandomForestClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(RandomForestClassifier(n_estimators=25),       fixed acidity  volatile acidity  citric acid  residual sugar  chlorides  \
2046            8.3              0.33         0.43            9.20      0.046   
356             7.3              0.22         0.37           14.30      0.063   
3541            8.1              0.26         0.27            4.30      0.030   
3114            6.3              0.17         0.32            4.20      0.040   
469             7.2              0.29         0.53           18.15      0.047   
...             ...               ...          ...             ...        ...   
527             6.1              0.28         0.22            1.80      0.034   
1932            9.2              0.71         0.23            6.20      0.042   
2941            7.2              0.30         0.30            8.70      0.022   
4468            6.2              0.21         0.24            1.20      0.051   
3643            6.8              0.19         0.33            4.90      0.047   

      free sulfur dioxide  total sulfur dioxide  density    pH  sulphates  \
2046                 22.0                 126.0  0.99820  3.38       0.47   
356                  48.0                 191.0  0.99780  2.89       0.38   
3541                 43.0                 123.0  0.99212  3.16       0.33   
3114                 37.0                 117.0  0.99182  3.24       0.43   
469                  59.0                 182.0  0.99920  3.09       0.52   
...                   ...                   ...      ...   ...        ...   
527                  32.0                 116.0  0.98980  3.36       0.44   
1932                 15.0                  93.0  0.99480  2.89       0.34   
2941                 14.0                 111.0  0.99576  3.11       0.61   
4468                 31.0                  95.0  0.99036  3.24       0.57   
3643                 42.0                 130.0  0.99283  3.12       0.56   

      alcohol  
2046      9.3  
356       9.0  
3541     11.2  
3114     11.3  
469       9.6  
...       ...  
527      12.6  
1932     10.1  
2941     10.6  
4468     11.3  
3643     11.0  

[2448 rows x 11 columns])' and kwargs '{}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.ensemble._forest.RandomForestClassifier'>.score' for sklearn autologging with args '(RandomForestClassifier(n_estimators=25),       fixed acidity  volatile acidity  citric acid  residual sugar  chlorides  \
2046            8.3              0.33         0.43            9.20      0.046   
356             7.3              0.22         0.37           14.30      0.063   
3541            8.1              0.26         0.27            4.30      0.030   
3114            6.3              0.17         0.32            4.20      0.040   
469             7.2              0.29         0.53           18.15      0.047   
...             ...               ...          ...             ...        ...   
527             6.1              0.28         0.22            1.80      0.034   
1932            9.2              0.71         0.23            6.20      0.042   
2941            7.2              0.30         0.30            8.70      0.022   
4468            6.2              0.21         0.24            1.20      0.051   
3643            6.8              0.19         0.33            4.90      0.047   

      free sulfur dioxide  total sulfur dioxide  density    pH  sulphates  \
2046                 22.0                 126.0  0.99820  3.38       0.47   
356                  48.0                 191.0  0.99780  2.89       0.38   
3541                 43.0                 123.0  0.99212  3.16       0.33   
3114                 37.0                 117.0  0.99182  3.24       0.43   
469                  59.0                 182.0  0.99920  3.09       0.52   
...                   ...                   ...      ...   ...        ...   
527                  32.0                 116.0  0.98980  3.36       0.44   
1932                 15.0                  93.0  0.99480  2.89       0.34   
2941                 14.0                 111.0  0.99576  3.11       0.61   
4468                 31.0                  95.0  0.99036  3.24       0.57   
3643                 42.0                 130.0  0.99283  3.12       0.56   

      alcohol  
2046      9.3  
356       9.0  
3541     11.2  
3114     11.3  
469       9.6  
...       ...  
527      12.6  
1932     10.1  
2941     10.6  
4468     11.3  
3643     11.0  

[2448 rows x 11 columns], 2046    0
356     1
3541    1
3114    1
469     0
       ..
527     1
1932    1
2941    0
4468    1
3643    1
Name: quality, Length: 2448, dtype: int64, None)' and kwargs '{}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.ensemble._forest.RandomForestClassifier'>.score' for sklearn autologging. Original function was invoked with args '(RandomForestClassifier(n_estimators=25),       fixed acidity  volatile acidity  citric acid  residual sugar  chlorides  \
2046            8.3              0.33         0.43            9.20      0.046   
356             7.3              0.22         0.37           14.30      0.063   
3541            8.1              0.26         0.27            4.30      0.030   
3114            6.3              0.17         0.32            4.20      0.040   
469             7.2              0.29         0.53           18.15      0.047   
...             ...               ...          ...             ...        ...   
527             6.1              0.28         0.22            1.80      0.034   
1932            9.2              0.71         0.23            6.20      0.042   
2941            7.2              0.30         0.30            8.70      0.022   
4468            6.2              0.21         0.24            1.20      0.051   
3643            6.8              0.19         0.33            4.90      0.047   

      free sulfur dioxide  total sulfur dioxide  density    pH  sulphates  \
2046                 22.0                 126.0  0.99820  3.38       0.47   
356                  48.0                 191.0  0.99780  2.89       0.38   
3541                 43.0                 123.0  0.99212  3.16       0.33   
3114                 37.0                 117.0  0.99182  3.24       0.43   
469                  59.0                 182.0  0.99920  3.09       0.52   
...                   ...                   ...      ...   ...        ...   
527                  32.0                 116.0  0.98980  3.36       0.44   
1932                 15.0                  93.0  0.99480  2.89       0.34   
2941                 14.0                 111.0  0.99576  3.11       0.61   
4468                 31.0                  95.0  0.99036  3.24       0.57   
3643                 42.0                 130.0  0.99283  3.12       0.56   

      alcohol  
2046      9.3  
356       9.0  
3541     11.2  
3114     11.3  
469       9.6  
...       ...  
527      12.6  
1932     10.1  
2941     10.6  
4468     11.3  
3643     11.0  

[2448 rows x 11 columns], 2046    0
356     1
3541    1
3114    1
469     0
       ..
527     1
1932    1
2941    0
4468    1
3643    1
Name: quality, Length: 2448, dtype: int64, None)' and kwargs '{}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.ensemble._forest.RandomForestClassifier'>.predict' for sklearn autologging with args '(RandomForestClassifier(n_estimators=25),       fixed acidity  volatile acidity  citric acid  residual sugar  chlorides  \
2046            8.3              0.33         0.43            9.20      0.046   
356             7.3              0.22         0.37           14.30      0.063   
3541            8.1              0.26         0.27            4.30      0.030   
3114            6.3              0.17         0.32            4.20      0.040   
469             7.2              0.29         0.53           18.15      0.047   
...             ...               ...          ...             ...        ...   
527             6.1              0.28         0.22            1.80      0.034   
1932            9.2              0.71         0.23            6.20      0.042   
2941            7.2              0.30         0.30            8.70      0.022   
4468            6.2              0.21         0.24            1.20      0.051   
3643            6.8              0.19         0.33            4.90      0.047   

      free sulfur dioxide  total sulfur dioxide  density    pH  sulphates  \
2046                 22.0                 126.0  0.99820  3.38       0.47   
356                  48.0                 191.0  0.99780  2.89       0.38   
3541                 43.0                 123.0  0.99212  3.16       0.33   
3114                 37.0                 117.0  0.99182  3.24       0.43   
469                  59.0                 182.0  0.99920  3.09       0.52   
...                   ...                   ...      ...   ...        ...   
527                  32.0                 116.0  0.98980  3.36       0.44   
1932                 15.0                  93.0  0.99480  2.89       0.34   
2941                 14.0                 111.0  0.99576  3.11       0.61   
4468                 31.0                  95.0  0.99036  3.24       0.57   
3643                 42.0                 130.0  0.99283  3.12       0.56   

      alcohol  
2046      9.3  
356       9.0  
3541     11.2  
3114     11.3  
469       9.6  
...       ...  
527      12.6  
1932     10.1  
2941     10.6  
4468     11.3  
3643     11.0  

[2448 rows x 11 columns])' and kwargs '{}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.ensemble._forest.RandomForestClassifier'>.predict' for sklearn autologging. Original function was invoked with args '(RandomForestClassifier(n_estimators=25),       fixed acidity  volatile acidity  citric acid  residual sugar  chlorides  \
2046            8.3              0.33         0.43            9.20      0.046   
356             7.3              0.22         0.37           14.30      0.063   
3541            8.1              0.26         0.27            4.30      0.030   
3114            6.3              0.17         0.32            4.20      0.040   
469             7.2              0.29         0.53           18.15      0.047   
...             ...               ...          ...             ...        ...   
527             6.1              0.28         0.22            1.80      0.034   
1932            9.2              0.71         0.23            6.20      0.042   
2941            7.2              0.30         0.30            8.70      0.022   
4468            6.2              0.21         0.24            1.20      0.051   
3643            6.8              0.19         0.33            4.90      0.047   

      free sulfur dioxide  total sulfur dioxide  density    pH  sulphates  \
2046                 22.0                 126.0  0.99820  3.38       0.47   
356                  48.0                 191.0  0.99780  2.89       0.38   
3541                 43.0                 123.0  0.99212  3.16       0.33   
3114                 37.0                 117.0  0.99182  3.24       0.43   
469                  59.0                 182.0  0.99920  3.09       0.52   
...                   ...                   ...      ...   ...        ...   
527                  32.0                 116.0  0.98980  3.36       0.44   
1932                 15.0                  93.0  0.99480  2.89       0.34   
2941                 14.0                 111.0  0.99576  3.11       0.61   
4468                 31.0                  95.0  0.99036  3.24       0.57   
3643                 42.0                 130.0  0.99283  3.12       0.56   

      alcohol  
2046      9.3  
356       9.0  
3541     11.2  
3114     11.3  
469       9.6  
...       ...  
527      12.6  
1932     10.1  
2941     10.6  
4468     11.3  
3643     11.0  

[2448 rows x 11 columns])' and kwargs '{}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.ensemble._forest.RandomForestClassifier'>.predict_proba' for sklearn autologging with args '(RandomForestClassifier(n_estimators=25),       fixed acidity  volatile acidity  citric acid  residual sugar  chlorides  \
2046            8.3              0.33         0.43            9.20      0.046   
356             7.3              0.22         0.37           14.30      0.063   
3541            8.1              0.26         0.27            4.30      0.030   
3114            6.3              0.17         0.32            4.20      0.040   
469             7.2              0.29         0.53           18.15      0.047   
...             ...               ...          ...             ...        ...   
527             6.1              0.28         0.22            1.80      0.034   
1932            9.2              0.71         0.23            6.20      0.042   
2941            7.2              0.30         0.30            8.70      0.022   
4468            6.2              0.21         0.24            1.20      0.051   
3643            6.8              0.19         0.33            4.90      0.047   

      free sulfur dioxide  total sulfur dioxide  density    pH  sulphates  \
2046                 22.0                 126.0  0.99820  3.38       0.47   
356                  48.0                 191.0  0.99780  2.89       0.38   
3541                 43.0                 123.0  0.99212  3.16       0.33   
3114                 37.0                 117.0  0.99182  3.24       0.43   
469                  59.0                 182.0  0.99920  3.09       0.52   
...                   ...                   ...      ...   ...        ...   
527                  32.0                 116.0  0.98980  3.36       0.44   
1932                 15.0                  93.0  0.99480  2.89       0.34   
2941                 14.0                 111.0  0.99576  3.11       0.61   
4468                 31.0                  95.0  0.99036  3.24       0.57   
3643                 42.0                 130.0  0.99283  3.12       0.56   

      alcohol  
2046      9.3  
356       9.0  
3541     11.2  
3114     11.3  
469       9.6  
...       ...  
527      12.6  
1932     10.1  
2941     10.6  
4468     11.3  
3643     11.0  

[2448 rows x 11 columns])' and kwargs '{}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.ensemble._forest.RandomForestClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(RandomForestClassifier(n_estimators=25),       fixed acidity  volatile acidity  citric acid  residual sugar  chlorides  \
2046            8.3              0.33         0.43            9.20      0.046   
356             7.3              0.22         0.37           14.30      0.063   
3541            8.1              0.26         0.27            4.30      0.030   
3114            6.3              0.17         0.32            4.20      0.040   
469             7.2              0.29         0.53           18.15      0.047   
...             ...               ...          ...             ...        ...   
527             6.1              0.28         0.22            1.80      0.034   
1932            9.2              0.71         0.23            6.20      0.042   
2941            7.2              0.30         0.30            8.70      0.022   
4468            6.2              0.21         0.24            1.20      0.051   
3643            6.8              0.19         0.33            4.90      0.047   

      free sulfur dioxide  total sulfur dioxide  density    pH  sulphates  \
2046                 22.0                 126.0  0.99820  3.38       0.47   
356                  48.0                 191.0  0.99780  2.89       0.38   
3541                 43.0                 123.0  0.99212  3.16       0.33   
3114                 37.0                 117.0  0.99182  3.24       0.43   
469                  59.0                 182.0  0.99920  3.09       0.52   
...                   ...                   ...      ...   ...        ...   
527                  32.0                 116.0  0.98980  3.36       0.44   
1932                 15.0                  93.0  0.99480  2.89       0.34   
2941                 14.0                 111.0  0.99576  3.11       0.61   
4468                 31.0                  95.0  0.99036  3.24       0.57   
3643                 42.0                 130.0  0.99283  3.12       0.56   

      alcohol  
2046      9.3  
356       9.0  
3541     11.2  
3114     11.3  
469       9.6  
...       ...  
527      12.6  
1932     10.1  
2941     10.6  
4468     11.3  
3643     11.0  

[2448 rows x 11 columns])' and kwargs '{}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1503144821), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1503144821), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1503144821), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1503144821), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1756899350), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1756899350), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1756899350), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1756899350), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=503712351), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=503712351), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=503712351), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=503712351), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1830641452), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1830641452), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1830641452), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1830641452), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=564291510), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=564291510), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=564291510), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=564291510), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1350014931), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1350014931), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1350014931), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1350014931), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=355903341), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=355903341), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=355903341), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=355903341), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1608240563), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1608240563), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1608240563), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1608240563), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1514978177), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1514978177), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1514978177), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1514978177), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1933344888), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1933344888), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1933344888), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1933344888), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2139888806), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2139888806), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2139888806), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2139888806), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=389292234), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=389292234), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=389292234), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=389292234), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=93203662), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=93203662), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=93203662), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=93203662), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=165299253), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=165299253), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=165299253), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=165299253), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=338853025), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=338853025), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=338853025), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=338853025), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1321339288), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1321339288), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1321339288), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1321339288), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=153652917), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=153652917), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=153652917), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=153652917), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1965061364), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1965061364), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1965061364), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1965061364), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=628206093), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=628206093), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=628206093), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=628206093), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1894823798), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1894823798), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1894823798), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1894823798), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1287369901), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1287369901), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1287369901), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1287369901), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1266790438), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1266790438), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1266790438), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1266790438), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1853005276), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1853005276), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1853005276), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1853005276), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1753139428), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1753139428), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1753139428), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1753139428), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=358291864), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=358291864), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=358291864), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=358291864), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.ensemble._forest.RandomForestClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(RandomForestClassifier(n_estimators=25),       fixed acidity  volatile acidity  citric acid  residual sugar  chlorides  \
2046            8.3              0.33         0.43            9.20      0.046   
356             7.3              0.22         0.37           14.30      0.063   
3541            8.1              0.26         0.27            4.30      0.030   
3114            6.3              0.17         0.32            4.20      0.040   
469             7.2              0.29         0.53           18.15      0.047   
...             ...               ...          ...             ...        ...   
527             6.1              0.28         0.22            1.80      0.034   
1932            9.2              0.71         0.23            6.20      0.042   
2941            7.2              0.30         0.30            8.70      0.022   
4468            6.2              0.21         0.24            1.20      0.051   
3643            6.8              0.19         0.33            4.90      0.047   

      free sulfur dioxide  total sulfur dioxide  density    pH  sulphates  \
2046                 22.0                 126.0  0.99820  3.38       0.47   
356                  48.0                 191.0  0.99780  2.89       0.38   
3541                 43.0                 123.0  0.99212  3.16       0.33   
3114                 37.0                 117.0  0.99182  3.24       0.43   
469                  59.0                 182.0  0.99920  3.09       0.52   
...                   ...                   ...      ...   ...        ...   
527                  32.0                 116.0  0.98980  3.36       0.44   
1932                 15.0                  93.0  0.99480  2.89       0.34   
2941                 14.0                 111.0  0.99576  3.11       0.61   
4468                 31.0                  95.0  0.99036  3.24       0.57   
3643                 42.0                 130.0  0.99283  3.12       0.56   

      alcohol  
2046      9.3  
356       9.0  
3541     11.2  
3114     11.3  
469       9.6  
...       ...  
527      12.6  
1932     10.1  
2941     10.6  
4468     11.3  
3643     11.0  

[2448 rows x 11 columns])' and kwargs '{}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.ensemble._forest.RandomForestClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(RandomForestClassifier(n_estimators=25),       fixed acidity  volatile acidity  citric acid  residual sugar  chlorides  \
2046            8.3              0.33         0.43            9.20      0.046   
356             7.3              0.22         0.37           14.30      0.063   
3541            8.1              0.26         0.27            4.30      0.030   
3114            6.3              0.17         0.32            4.20      0.040   
469             7.2              0.29         0.53           18.15      0.047   
...             ...               ...          ...             ...        ...   
527             6.1              0.28         0.22            1.80      0.034   
1932            9.2              0.71         0.23            6.20      0.042   
2941            7.2              0.30         0.30            8.70      0.022   
4468            6.2              0.21         0.24            1.20      0.051   
3643            6.8              0.19         0.33            4.90      0.047   

      free sulfur dioxide  total sulfur dioxide  density    pH  sulphates  \
2046                 22.0                 126.0  0.99820  3.38       0.47   
356                  48.0                 191.0  0.99780  2.89       0.38   
3541                 43.0                 123.0  0.99212  3.16       0.33   
3114                 37.0                 117.0  0.99182  3.24       0.43   
469                  59.0                 182.0  0.99920  3.09       0.52   
...                   ...                   ...      ...   ...        ...   
527                  32.0                 116.0  0.98980  3.36       0.44   
1932                 15.0                  93.0  0.99480  2.89       0.34   
2941                 14.0                 111.0  0.99576  3.11       0.61   
4468                 31.0                  95.0  0.99036  3.24       0.57   
3643                 42.0                 130.0  0.99283  3.12       0.56   

      alcohol  
2046      9.3  
356       9.0  
3541     11.2  
3114     11.3  
469       9.6  
...       ...  
527      12.6  
1932     10.1  
2941     10.6  
4468     11.3  
3643     11.0  

[2448 rows x 11 columns])' and kwargs '{}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.ensemble._forest.RandomForestClassifier'>.predict' for sklearn autologging. Original function was invoked with with args '(RandomForestClassifier(n_estimators=25),       fixed acidity  volatile acidity  citric acid  residual sugar  chlorides  \
2046            8.3              0.33         0.43            9.20      0.046   
356             7.3              0.22         0.37           14.30      0.063   
3541            8.1              0.26         0.27            4.30      0.030   
3114            6.3              0.17         0.32            4.20      0.040   
469             7.2              0.29         0.53           18.15      0.047   
...             ...               ...          ...             ...        ...   
527             6.1              0.28         0.22            1.80      0.034   
1932            9.2              0.71         0.23            6.20      0.042   
2941            7.2              0.30         0.30            8.70      0.022   
4468            6.2              0.21         0.24            1.20      0.051   
3643            6.8              0.19         0.33            4.90      0.047   

      free sulfur dioxide  total sulfur dioxide  density    pH  sulphates  \
2046                 22.0                 126.0  0.99820  3.38       0.47   
356                  48.0                 191.0  0.99780  2.89       0.38   
3541                 43.0                 123.0  0.99212  3.16       0.33   
3114                 37.0                 117.0  0.99182  3.24       0.43   
469                  59.0                 182.0  0.99920  3.09       0.52   
...                   ...                   ...      ...   ...        ...   
527                  32.0                 116.0  0.98980  3.36       0.44   
1932                 15.0                  93.0  0.99480  2.89       0.34   
2941                 14.0                 111.0  0.99576  3.11       0.61   
4468                 31.0                  95.0  0.99036  3.24       0.57   
3643                 42.0                 130.0  0.99283  3.12       0.56   

      alcohol  
2046      9.3  
356       9.0  
3541     11.2  
3114     11.3  
469       9.6  
...       ...  
527      12.6  
1932     10.1  
2941     10.6  
4468     11.3  
3643     11.0  

[2448 rows x 11 columns])' and kwargs '{}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.ensemble._forest.RandomForestClassifier'>.predict' for sklearn autologging completed successfully. Patched ML API was called with args '(RandomForestClassifier(n_estimators=25),       fixed acidity  volatile acidity  citric acid  residual sugar  chlorides  \
2046            8.3              0.33         0.43            9.20      0.046   
356             7.3              0.22         0.37           14.30      0.063   
3541            8.1              0.26         0.27            4.30      0.030   
3114            6.3              0.17         0.32            4.20      0.040   
469             7.2              0.29         0.53           18.15      0.047   
...             ...               ...          ...             ...        ...   
527             6.1              0.28         0.22            1.80      0.034   
1932            9.2              0.71         0.23            6.20      0.042   
2941            7.2              0.30         0.30            8.70      0.022   
4468            6.2              0.21         0.24            1.20      0.051   
3643            6.8              0.19         0.33            4.90      0.047   

      free sulfur dioxide  total sulfur dioxide  density    pH  sulphates  \
2046                 22.0                 126.0  0.99820  3.38       0.47   
356                  48.0                 191.0  0.99780  2.89       0.38   
3541                 43.0                 123.0  0.99212  3.16       0.33   
3114                 37.0                 117.0  0.99182  3.24       0.43   
469                  59.0                 182.0  0.99920  3.09       0.52   
...                   ...                   ...      ...   ...        ...   
527                  32.0                 116.0  0.98980  3.36       0.44   
1932                 15.0                  93.0  0.99480  2.89       0.34   
2941                 14.0                 111.0  0.99576  3.11       0.61   
4468                 31.0                  95.0  0.99036  3.24       0.57   
3643                 42.0                 130.0  0.99283  3.12       0.56   

      alcohol  
2046      9.3  
356       9.0  
3541     11.2  
3114     11.3  
469       9.6  
...       ...  
527      12.6  
1932     10.1  
2941     10.6  
4468     11.3  
3643     11.0  

[2448 rows x 11 columns])' and kwargs '{}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<module 'sklearn.metrics' from '/anaconda/envs/azureml_py310_sdkv2/lib/python3.10/site-packages/sklearn/metrics/__init__.py'>.accuracy_score' for sklearn autologging with args '(2046    0
356     1
3541    1
3114    1
469     0
       ..
527     1
1932    1
2941    0
4468    1
3643    1
Name: quality, Length: 2448, dtype: int64, array([0, 1, 1, ..., 0, 1, 1]))' and kwargs '{'sample_weight': None}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<module 'sklearn.metrics' from '/anaconda/envs/azureml_py310_sdkv2/lib/python3.10/site-packages/sklearn/metrics/__init__.py'>.accuracy_score' for sklearn autologging. Original function was invoked with args '(2046    0
356     1
3541    1
3114    1
469     0
       ..
527     1
1932    1
2941    0
4468    1
3643    1
Name: quality, Length: 2448, dtype: int64, array([0, 1, 1, ..., 0, 1, 1]))' and kwargs '{'sample_weight': None}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<module 'sklearn.metrics' from '/anaconda/envs/azureml_py310_sdkv2/lib/python3.10/site-packages/sklearn/metrics/__init__.py'>.accuracy_score' for sklearn autologging. Original function was invoked with with args '(2046    0
356     1
3541    1
3114    1
469     0
       ..
527     1
1932    1
2941    0
4468    1
3643    1
Name: quality, Length: 2448, dtype: int64, array([0, 1, 1, ..., 0, 1, 1]))' and kwargs '{'sample_weight': None}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Patched API call '<module 'sklearn.metrics' from '/anaconda/envs/azureml_py310_sdkv2/lib/python3.10/site-packages/sklearn/metrics/__init__.py'>.accuracy_score' for sklearn autologging completed successfully. Patched ML API was called with args '(2046    0
356     1
3541    1
3114    1
469     0
       ..
527     1
1932    1
2941    0
4468    1
3643    1
Name: quality, Length: 2448, dtype: int64, array([0, 1, 1, ..., 0, 1, 1]))' and kwargs '{'sample_weight': None}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.ensemble._forest.RandomForestClassifier'>.score' for sklearn autologging. Original function was invoked with with args '(RandomForestClassifier(n_estimators=25),       fixed acidity  volatile acidity  citric acid  residual sugar  chlorides  \
2046            8.3              0.33         0.43            9.20      0.046   
356             7.3              0.22         0.37           14.30      0.063   
3541            8.1              0.26         0.27            4.30      0.030   
3114            6.3              0.17         0.32            4.20      0.040   
469             7.2              0.29         0.53           18.15      0.047   
...             ...               ...          ...             ...        ...   
527             6.1              0.28         0.22            1.80      0.034   
1932            9.2              0.71         0.23            6.20      0.042   
2941            7.2              0.30         0.30            8.70      0.022   
4468            6.2              0.21         0.24            1.20      0.051   
3643            6.8              0.19         0.33            4.90      0.047   

      free sulfur dioxide  total sulfur dioxide  density    pH  sulphates  \
2046                 22.0                 126.0  0.99820  3.38       0.47   
356                  48.0                 191.0  0.99780  2.89       0.38   
3541                 43.0                 123.0  0.99212  3.16       0.33   
3114                 37.0                 117.0  0.99182  3.24       0.43   
469                  59.0                 182.0  0.99920  3.09       0.52   
...                   ...                   ...      ...   ...        ...   
527                  32.0                 116.0  0.98980  3.36       0.44   
1932                 15.0                  93.0  0.99480  2.89       0.34   
2941                 14.0                 111.0  0.99576  3.11       0.61   
4468                 31.0                  95.0  0.99036  3.24       0.57   
3643                 42.0                 130.0  0.99283  3.12       0.56   

      alcohol  
2046      9.3  
356       9.0  
3541     11.2  
3114     11.3  
469       9.6  
...       ...  
527      12.6  
1932     10.1  
2941     10.6  
4468     11.3  
3643     11.0  

[2448 rows x 11 columns], 2046    0
356     1
3541    1
3114    1
469     0
       ..
527     1
1932    1
2941    0
4468    1
3643    1
Name: quality, Length: 2448, dtype: int64, None)' and kwargs '{}'
2024/06/05 08:38:45 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.ensemble._forest.RandomForestClassifier'>.score' for sklearn autologging completed successfully. Patched ML API was called with args '(RandomForestClassifier(n_estimators=25),       fixed acidity  volatile acidity  citric acid  residual sugar  chlorides  \
2046            8.3              0.33         0.43            9.20      0.046   
356             7.3              0.22         0.37           14.30      0.063   
3541            8.1              0.26         0.27            4.30      0.030   
3114            6.3              0.17         0.32            4.20      0.040   
469             7.2              0.29         0.53           18.15      0.047   
...             ...               ...          ...             ...        ...   
527             6.1              0.28         0.22            1.80      0.034   
1932            9.2              0.71         0.23            6.20      0.042   
2941            7.2              0.30         0.30            8.70      0.022   
4468            6.2              0.21         0.24            1.20      0.051   
3643            6.8              0.19         0.33            4.90      0.047   

      free sulfur dioxide  total sulfur dioxide  density    pH  sulphates  \
2046                 22.0                 126.0  0.99820  3.38       0.47   
356                  48.0                 191.0  0.99780  2.89       0.38   
3541                 43.0                 123.0  0.99212  3.16       0.33   
3114                 37.0                 117.0  0.99182  3.24       0.43   
469                  59.0                 182.0  0.99920  3.09       0.52   
...                   ...                   ...      ...   ...        ...   
527                  32.0                 116.0  0.98980  3.36       0.44   
1932                 15.0                  93.0  0.99480  2.89       0.34   
2941                 14.0                 111.0  0.99576  3.11       0.61   
4468                 31.0                  95.0  0.99036  3.24       0.57   
3643                 42.0                 130.0  0.99283  3.12       0.56   

      alcohol  
2046      9.3  
356       9.0  
3541     11.2  
3114     11.3  
469       9.6  
...       ...  
527      12.6  
1932     10.1  
2941     10.6  
4468     11.3  
3643     11.0  

[2448 rows x 11 columns], 2046    0
356     1
3541    1
3114    1
469     0
       ..
527     1
1932    1
2941    0
4468    1
3643    1
Name: quality, Length: 2448, dtype: int64, None)' and kwargs '{}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.ensemble._forest.RandomForestClassifier'>.predict' for sklearn autologging with args '(RandomForestClassifier(n_estimators=25),       fixed acidity  volatile acidity  citric acid  residual sugar  chlorides  \
2046            8.3              0.33         0.43            9.20      0.046   
356             7.3              0.22         0.37           14.30      0.063   
3541            8.1              0.26         0.27            4.30      0.030   
3114            6.3              0.17         0.32            4.20      0.040   
469             7.2              0.29         0.53           18.15      0.047   

      free sulfur dioxide  total sulfur dioxide  density    pH  sulphates  \
2046                 22.0                 126.0  0.99820  3.38       0.47   
356                  48.0                 191.0  0.99780  2.89       0.38   
3541                 43.0                 123.0  0.99212  3.16       0.33   
3114                 37.0                 117.0  0.99182  3.24       0.43   
469                  59.0                 182.0  0.99920  3.09       0.52   

      alcohol  
2046      9.3  
356       9.0  
3541     11.2  
3114     11.3  
469       9.6  )' and kwargs '{}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.ensemble._forest.RandomForestClassifier'>.predict' for sklearn autologging. Original function was invoked with args '(RandomForestClassifier(n_estimators=25),       fixed acidity  volatile acidity  citric acid  residual sugar  chlorides  \
2046            8.3              0.33         0.43            9.20      0.046   
356             7.3              0.22         0.37           14.30      0.063   
3541            8.1              0.26         0.27            4.30      0.030   
3114            6.3              0.17         0.32            4.20      0.040   
469             7.2              0.29         0.53           18.15      0.047   

      free sulfur dioxide  total sulfur dioxide  density    pH  sulphates  \
2046                 22.0                 126.0  0.99820  3.38       0.47   
356                  48.0                 191.0  0.99780  2.89       0.38   
3541                 43.0                 123.0  0.99212  3.16       0.33   
3114                 37.0                 117.0  0.99182  3.24       0.43   
469                  59.0                 182.0  0.99920  3.09       0.52   

      alcohol  
2046      9.3  
356       9.0  
3541     11.2  
3114     11.3  
469       9.6  )' and kwargs '{}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.ensemble._forest.RandomForestClassifier'>.predict_proba' for sklearn autologging with args '(RandomForestClassifier(n_estimators=25),       fixed acidity  volatile acidity  citric acid  residual sugar  chlorides  \
2046            8.3              0.33         0.43            9.20      0.046   
356             7.3              0.22         0.37           14.30      0.063   
3541            8.1              0.26         0.27            4.30      0.030   
3114            6.3              0.17         0.32            4.20      0.040   
469             7.2              0.29         0.53           18.15      0.047   

      free sulfur dioxide  total sulfur dioxide  density    pH  sulphates  \
2046                 22.0                 126.0  0.99820  3.38       0.47   
356                  48.0                 191.0  0.99780  2.89       0.38   
3541                 43.0                 123.0  0.99212  3.16       0.33   
3114                 37.0                 117.0  0.99182  3.24       0.43   
469                  59.0                 182.0  0.99920  3.09       0.52   

      alcohol  
2046      9.3  
356       9.0  
3541     11.2  
3114     11.3  
469       9.6  )' and kwargs '{}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.ensemble._forest.RandomForestClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(RandomForestClassifier(n_estimators=25),       fixed acidity  volatile acidity  citric acid  residual sugar  chlorides  \
2046            8.3              0.33         0.43            9.20      0.046   
356             7.3              0.22         0.37           14.30      0.063   
3541            8.1              0.26         0.27            4.30      0.030   
3114            6.3              0.17         0.32            4.20      0.040   
469             7.2              0.29         0.53           18.15      0.047   

      free sulfur dioxide  total sulfur dioxide  density    pH  sulphates  \
2046                 22.0                 126.0  0.99820  3.38       0.47   
356                  48.0                 191.0  0.99780  2.89       0.38   
3541                 43.0                 123.0  0.99212  3.16       0.33   
3114                 37.0                 117.0  0.99182  3.24       0.43   
469                  59.0                 182.0  0.99920  3.09       0.52   

      alcohol  
2046      9.3  
356       9.0  
3541     11.2  
3114     11.3  
469       9.6  )' and kwargs '{}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1503144821), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1503144821), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1503144821), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1503144821), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1756899350), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1756899350), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1756899350), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1756899350), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=503712351), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=503712351), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=503712351), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=503712351), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1830641452), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1830641452), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1830641452), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1830641452), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=564291510), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=564291510), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=564291510), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=564291510), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1350014931), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1350014931), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1350014931), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1350014931), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=355903341), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=355903341), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=355903341), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=355903341), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1608240563), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1608240563), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1608240563), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1608240563), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1514978177), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1514978177), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1514978177), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1514978177), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1933344888), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1933344888), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1933344888), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1933344888), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2139888806), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2139888806), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2139888806), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2139888806), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=389292234), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=389292234), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=389292234), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=389292234), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=93203662), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=93203662), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=93203662), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=93203662), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=165299253), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=165299253), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=165299253), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=165299253), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=338853025), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=338853025), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=338853025), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=338853025), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1321339288), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1321339288), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1321339288), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1321339288), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=153652917), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=153652917), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=153652917), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=153652917), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1965061364), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1965061364), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1965061364), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1965061364), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=628206093), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=628206093), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=628206093), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=628206093), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1894823798), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1894823798), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1894823798), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1894823798), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1287369901), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1287369901), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1287369901), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1287369901), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1266790438), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1266790438), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1266790438), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1266790438), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1853005276), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1853005276), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1853005276), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1853005276), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1753139428), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1753139428), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1753139428), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1753139428), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=358291864), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=358291864), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=358291864), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=358291864), array([[8.3000e+00, 3.3000e-01, 4.3000e-01, 9.2000e+00, 4.6000e-02,
        2.2000e+01, 1.2600e+02, 9.9820e-01, 3.3800e+00, 4.7000e-01,
        9.3000e+00],
       [7.3000e+00, 2.2000e-01, 3.7000e-01, 1.4300e+01, 6.3000e-02,
        4.8000e+01, 1.9100e+02, 9.9780e-01, 2.8900e+00, 3.8000e-01,
        9.0000e+00],
       [8.1000e+00, 2.6000e-01, 2.7000e-01, 4.3000e+00, 3.0000e-02,
        4.3000e+01, 1.2300e+02, 9.9212e-01, 3.1600e+00, 3.3000e-01,
        1.1200e+01],
       [6.3000e+00, 1.7000e-01, 3.2000e-01, 4.2000e+00, 4.0000e-02,
        3.7000e+01, 1.1700e+02, 9.9182e-01, 3.2400e+00, 4.3000e-01,
        1.1300e+01],
       [7.2000e+00, 2.9000e-01, 5.3000e-01, 1.8150e+01, 4.7000e-02,
        5.9000e+01, 1.8200e+02, 9.9920e-01, 3.0900e+00, 5.2000e-01,
        9.6000e+00]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.ensemble._forest.RandomForestClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(RandomForestClassifier(n_estimators=25),       fixed acidity  volatile acidity  citric acid  residual sugar  chlorides  \
2046            8.3              0.33         0.43            9.20      0.046   
356             7.3              0.22         0.37           14.30      0.063   
3541            8.1              0.26         0.27            4.30      0.030   
3114            6.3              0.17         0.32            4.20      0.040   
469             7.2              0.29         0.53           18.15      0.047   

      free sulfur dioxide  total sulfur dioxide  density    pH  sulphates  \
2046                 22.0                 126.0  0.99820  3.38       0.47   
356                  48.0                 191.0  0.99780  2.89       0.38   
3541                 43.0                 123.0  0.99212  3.16       0.33   
3114                 37.0                 117.0  0.99182  3.24       0.43   
469                  59.0                 182.0  0.99920  3.09       0.52   

      alcohol  
2046      9.3  
356       9.0  
3541     11.2  
3114     11.3  
469       9.6  )' and kwargs '{}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.ensemble._forest.RandomForestClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(RandomForestClassifier(n_estimators=25),       fixed acidity  volatile acidity  citric acid  residual sugar  chlorides  \
2046            8.3              0.33         0.43            9.20      0.046   
356             7.3              0.22         0.37           14.30      0.063   
3541            8.1              0.26         0.27            4.30      0.030   
3114            6.3              0.17         0.32            4.20      0.040   
469             7.2              0.29         0.53           18.15      0.047   

      free sulfur dioxide  total sulfur dioxide  density    pH  sulphates  \
2046                 22.0                 126.0  0.99820  3.38       0.47   
356                  48.0                 191.0  0.99780  2.89       0.38   
3541                 43.0                 123.0  0.99212  3.16       0.33   
3114                 37.0                 117.0  0.99182  3.24       0.43   
469                  59.0                 182.0  0.99920  3.09       0.52   

      alcohol  
2046      9.3  
356       9.0  
3541     11.2  
3114     11.3  
469       9.6  )' and kwargs '{}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.ensemble._forest.RandomForestClassifier'>.predict' for sklearn autologging. Original function was invoked with with args '(RandomForestClassifier(n_estimators=25),       fixed acidity  volatile acidity  citric acid  residual sugar  chlorides  \
2046            8.3              0.33         0.43            9.20      0.046   
356             7.3              0.22         0.37           14.30      0.063   
3541            8.1              0.26         0.27            4.30      0.030   
3114            6.3              0.17         0.32            4.20      0.040   
469             7.2              0.29         0.53           18.15      0.047   

      free sulfur dioxide  total sulfur dioxide  density    pH  sulphates  \
2046                 22.0                 126.0  0.99820  3.38       0.47   
356                  48.0                 191.0  0.99780  2.89       0.38   
3541                 43.0                 123.0  0.99212  3.16       0.33   
3114                 37.0                 117.0  0.99182  3.24       0.43   
469                  59.0                 182.0  0.99920  3.09       0.52   

      alcohol  
2046      9.3  
356       9.0  
3541     11.2  
3114     11.3  
469       9.6  )' and kwargs '{}'
2024/06/05 08:38:46 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.ensemble._forest.RandomForestClassifier'>.predict' for sklearn autologging completed successfully. Patched ML API was called with args '(RandomForestClassifier(n_estimators=25),       fixed acidity  volatile acidity  citric acid  residual sugar  chlorides  \
2046            8.3              0.33         0.43            9.20      0.046   
356             7.3              0.22         0.37           14.30      0.063   
3541            8.1              0.26         0.27            4.30      0.030   
3114            6.3              0.17         0.32            4.20      0.040   
469             7.2              0.29         0.53           18.15      0.047   

      free sulfur dioxide  total sulfur dioxide  density    pH  sulphates  \
2046                 22.0                 126.0  0.99820  3.38       0.47   
356                  48.0                 191.0  0.99780  2.89       0.38   
3541                 43.0                 123.0  0.99212  3.16       0.33   
3114                 37.0                 117.0  0.99182  3.24       0.43   
469                  59.0                 182.0  0.99920  3.09       0.52   

      alcohol  
2046      9.3  
356       9.0  
3541     11.2  
3114     11.3  
469       9.6  )' and kwargs '{}'
2024/06/05 08:38:50 WARNING mlflow.utils.autologging_utils: MLflow autologging encountered a warning: "/anaconda/envs/azureml_py310_sdkv2/lib/python3.10/site-packages/_distutils_hack/__init__.py:33: UserWarning: Setuptools is replacing distutils."
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.ensemble._forest.RandomForestClassifier'>.fit' for sklearn autologging completed successfully. Patched ML API was called with args '(RandomForestClassifier(n_estimators=25),       fixed acidity  volatile acidity  citric acid  residual sugar  chlorides  \
2046            8.3              0.33         0.43            9.20      0.046   
356             7.3              0.22         0.37           14.30      0.063   
3541            8.1              0.26         0.27            4.30      0.030   
3114            6.3              0.17         0.32            4.20      0.040   
469             7.2              0.29         0.53           18.15      0.047   
...             ...               ...          ...             ...        ...   
527             6.1              0.28         0.22            1.80      0.034   
1932            9.2              0.71         0.23            6.20      0.042   
2941            7.2              0.30         0.30            8.70      0.022   
4468            6.2              0.21         0.24            1.20      0.051   
3643            6.8              0.19         0.33            4.90      0.047   

      free sulfur dioxide  total sulfur dioxide  density    pH  sulphates  \
2046                 22.0                 126.0  0.99820  3.38       0.47   
356                  48.0                 191.0  0.99780  2.89       0.38   
3541                 43.0                 123.0  0.99212  3.16       0.33   
3114                 37.0                 117.0  0.99182  3.24       0.43   
469                  59.0                 182.0  0.99920  3.09       0.52   
...                   ...                   ...      ...   ...        ...   
527                  32.0                 116.0  0.98980  3.36       0.44   
1932                 15.0                  93.0  0.99480  2.89       0.34   
2941                 14.0                 111.0  0.99576  3.11       0.61   
4468                 31.0                  95.0  0.99036  3.24       0.57   
3643                 42.0                 130.0  0.99283  3.12       0.56   

      alcohol  
2046      9.3  
356       9.0  
3541     11.2  
3114     11.3  
469       9.6  
...       ...  
527      12.6  
1932     10.1  
2941     10.6  
4468     11.3  
3643     11.0  

[2448 rows x 11 columns], 2046    0
356     1
3541    1
3114    1
469     0
       ..
527     1
1932    1
2941    0
4468    1
3643    1
Name: quality, Length: 2448, dtype: int64)' and kwargs '{}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.ensemble._forest.RandomForestClassifier'>.predict_proba' for sklearn autologging with args '(RandomForestClassifier(n_estimators=25),       fixed acidity  volatile acidity  citric acid  residual sugar  chlorides  \
2438            6.9              0.43         0.28             9.4      0.056   
2997            6.9              0.25         0.33             1.2      0.035   
3818            5.1              0.35         0.26             6.8      0.034   
773             6.1              0.27         0.30            16.7      0.039   
1452            7.8              0.43         0.49            13.0      0.033   
...             ...               ...          ...             ...        ...   
3974            6.5              0.29         0.52             7.9      0.049   
1949            6.7              0.31         0.44             6.7      0.054   
1013            6.2              0.25         0.47            11.6      0.048   
882             7.4              0.26         0.43             6.0      0.022   
3563            7.0              0.48         0.12             4.5      0.050   

      free sulfur dioxide  total sulfur dioxide  density    pH  sulphates  \
2438                 29.0                 183.0  0.99594  3.17       0.43   
2997                 35.0                 158.0  0.99082  3.02       0.58   
3818                 36.0                 120.0  0.99188  3.38       0.40   
773                  49.0                 172.0  0.99985  3.40       0.45   
1452                 37.0                 158.0  0.99550  3.14       0.35   
...                   ...                   ...      ...   ...        ...   
3974                 35.0                 192.0  0.99551  3.16       0.51   
1949                 29.0                 160.0  0.99520  3.04       0.44   
1013                 62.0                 210.0  0.99680  3.19       0.50   
882                  22.0                 125.0  0.99280  3.13       0.55   
3563                 23.0                  86.0  0.99398  2.86       0.35   

      alcohol  
2438      9.4  
2997     11.3  
3818     11.5  
773       9.4  
1452     11.3  
...       ...  
3974      9.5  
1949      9.6  
1013      9.5  
882      11.5  
3563      9.0  

[1207 rows x 11 columns])' and kwargs '{}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.ensemble._forest.RandomForestClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(RandomForestClassifier(n_estimators=25),       fixed acidity  volatile acidity  citric acid  residual sugar  chlorides  \
2438            6.9              0.43         0.28             9.4      0.056   
2997            6.9              0.25         0.33             1.2      0.035   
3818            5.1              0.35         0.26             6.8      0.034   
773             6.1              0.27         0.30            16.7      0.039   
1452            7.8              0.43         0.49            13.0      0.033   
...             ...               ...          ...             ...        ...   
3974            6.5              0.29         0.52             7.9      0.049   
1949            6.7              0.31         0.44             6.7      0.054   
1013            6.2              0.25         0.47            11.6      0.048   
882             7.4              0.26         0.43             6.0      0.022   
3563            7.0              0.48         0.12             4.5      0.050   

      free sulfur dioxide  total sulfur dioxide  density    pH  sulphates  \
2438                 29.0                 183.0  0.99594  3.17       0.43   
2997                 35.0                 158.0  0.99082  3.02       0.58   
3818                 36.0                 120.0  0.99188  3.38       0.40   
773                  49.0                 172.0  0.99985  3.40       0.45   
1452                 37.0                 158.0  0.99550  3.14       0.35   
...                   ...                   ...      ...   ...        ...   
3974                 35.0                 192.0  0.99551  3.16       0.51   
1949                 29.0                 160.0  0.99520  3.04       0.44   
1013                 62.0                 210.0  0.99680  3.19       0.50   
882                  22.0                 125.0  0.99280  3.13       0.55   
3563                 23.0                  86.0  0.99398  2.86       0.35   

      alcohol  
2438      9.4  
2997     11.3  
3818     11.5  
773       9.4  
1452     11.3  
...       ...  
3974      9.5  
1949      9.6  
1013      9.5  
882      11.5  
3563      9.0  

[1207 rows x 11 columns])' and kwargs '{}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1503144821), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1503144821), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1503144821), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1503144821), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1756899350), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1756899350), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1756899350), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1756899350), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=503712351), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=503712351), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=503712351), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=503712351), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1830641452), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1830641452), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1830641452), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1830641452), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=564291510), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=564291510), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=564291510), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=564291510), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1350014931), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1350014931), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1350014931), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1350014931), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=355903341), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=355903341), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=355903341), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=355903341), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1608240563), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1608240563), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1608240563), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1608240563), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1514978177), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1514978177), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1514978177), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1514978177), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1933344888), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1933344888), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1933344888), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1933344888), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2139888806), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2139888806), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2139888806), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2139888806), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=389292234), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=389292234), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=389292234), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=389292234), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=93203662), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=93203662), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=93203662), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=93203662), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=165299253), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=165299253), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=165299253), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=165299253), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=338853025), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=338853025), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=338853025), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=338853025), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1321339288), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1321339288), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1321339288), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1321339288), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=153652917), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=153652917), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=153652917), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=153652917), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1965061364), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1965061364), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1965061364), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1965061364), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=628206093), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=628206093), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=628206093), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=628206093), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1894823798), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1894823798), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1894823798), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1894823798), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1287369901), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1287369901), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1287369901), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1287369901), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1266790438), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1266790438), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1266790438), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1266790438), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1853005276), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1853005276), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1853005276), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1853005276), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1753139428), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1753139428), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1753139428), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1753139428), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=358291864), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=358291864), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=358291864), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=358291864), array([[ 6.9 ,  0.43,  0.28, ...,  3.17,  0.43,  9.4 ],
       [ 6.9 ,  0.25,  0.33, ...,  3.02,  0.58, 11.3 ],
       [ 5.1 ,  0.35,  0.26, ...,  3.38,  0.4 , 11.5 ],
       ...,
       [ 6.2 ,  0.25,  0.47, ...,  3.19,  0.5 ,  9.5 ],
       [ 7.4 ,  0.26,  0.43, ...,  3.13,  0.55, 11.5 ],
       [ 7.  ,  0.48,  0.12, ...,  2.86,  0.35,  9.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.ensemble._forest.RandomForestClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(RandomForestClassifier(n_estimators=25),       fixed acidity  volatile acidity  citric acid  residual sugar  chlorides  \
2438            6.9              0.43         0.28             9.4      0.056   
2997            6.9              0.25         0.33             1.2      0.035   
3818            5.1              0.35         0.26             6.8      0.034   
773             6.1              0.27         0.30            16.7      0.039   
1452            7.8              0.43         0.49            13.0      0.033   
...             ...               ...          ...             ...        ...   
3974            6.5              0.29         0.52             7.9      0.049   
1949            6.7              0.31         0.44             6.7      0.054   
1013            6.2              0.25         0.47            11.6      0.048   
882             7.4              0.26         0.43             6.0      0.022   
3563            7.0              0.48         0.12             4.5      0.050   

      free sulfur dioxide  total sulfur dioxide  density    pH  sulphates  \
2438                 29.0                 183.0  0.99594  3.17       0.43   
2997                 35.0                 158.0  0.99082  3.02       0.58   
3818                 36.0                 120.0  0.99188  3.38       0.40   
773                  49.0                 172.0  0.99985  3.40       0.45   
1452                 37.0                 158.0  0.99550  3.14       0.35   
...                   ...                   ...      ...   ...        ...   
3974                 35.0                 192.0  0.99551  3.16       0.51   
1949                 29.0                 160.0  0.99520  3.04       0.44   
1013                 62.0                 210.0  0.99680  3.19       0.50   
882                  22.0                 125.0  0.99280  3.13       0.55   
3563                 23.0                  86.0  0.99398  2.86       0.35   

      alcohol  
2438      9.4  
2997     11.3  
3818     11.5  
773       9.4  
1452     11.3  
...       ...  
3974      9.5  
1949      9.6  
1013      9.5  
882      11.5  
3563      9.0  

[1207 rows x 11 columns])' and kwargs '{}'
2024/06/05 08:38:53 WARNING mlflow.sklearn: Failed to log evaluation dataset information to MLflow Tracking. Reason: BAD_REQUEST: Response: {'Error': {'Code': 'UserError', 'Severity': None, 'Message': 'Cannot log the same dataset with different context', 'MessageFormat': None, 'MessageParameters': None, 'ReferenceCode': None, 'DetailsUri': None, 'Target': None, 'Details': [], 'InnerError': None, 'DebugInfo': None, 'AdditionalInfo': None}, 'Correlation': {'operation': '331680a9b9642fd9b0d7eddc7cfd549f', 'request': 'db2697e850a5f993'}, 'Environment': 'eastus2', 'Location': 'eastus2', 'Time': '2024-06-05T08:38:53.5929186+00:00', 'ComponentName': 'mlflow', 'statusCode': 400, 'error_code': 'BAD_REQUEST'}
2024/06/05 08:38:53 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.ensemble._forest.RandomForestClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(RandomForestClassifier(n_estimators=25),       fixed acidity  volatile acidity  citric acid  residual sugar  chlorides  \
2438            6.9              0.43         0.28             9.4      0.056   
2997            6.9              0.25         0.33             1.2      0.035   
3818            5.1              0.35         0.26             6.8      0.034   
773             6.1              0.27         0.30            16.7      0.039   
1452            7.8              0.43         0.49            13.0      0.033   
...             ...               ...          ...             ...        ...   
3974            6.5              0.29         0.52             7.9      0.049   
1949            6.7              0.31         0.44             6.7      0.054   
1013            6.2              0.25         0.47            11.6      0.048   
882             7.4              0.26         0.43             6.0      0.022   
3563            7.0              0.48         0.12             4.5      0.050   

      free sulfur dioxide  total sulfur dioxide  density    pH  sulphates  \
2438                 29.0                 183.0  0.99594  3.17       0.43   
2997                 35.0                 158.0  0.99082  3.02       0.58   
3818                 36.0                 120.0  0.99188  3.38       0.40   
773                  49.0                 172.0  0.99985  3.40       0.45   
1452                 37.0                 158.0  0.99550  3.14       0.35   
...                   ...                   ...      ...   ...        ...   
3974                 35.0                 192.0  0.99551  3.16       0.51   
1949                 29.0                 160.0  0.99520  3.04       0.44   
1013                 62.0                 210.0  0.99680  3.19       0.50   
882                  22.0                 125.0  0.99280  3.13       0.55   
3563                 23.0                  86.0  0.99398  2.86       0.35   

      alcohol  
2438      9.4  
2997     11.3  
3818     11.5  
773       9.4  
1452     11.3  
...       ...  
3974      9.5  
1949      9.6  
1013      9.5  
882      11.5  
3563      9.0  

[1207 rows x 11 columns])' and kwargs '{}'
/anaconda/envs/azureml_py310_sdkv2/lib/python3.10/site-packages/mlflow/data/dataset_source_registry.py:150: UserWarning: Failed to determine whether UCVolumeDatasetSource can resolve source information for 'https://raw.githubusercontent.com/mlflow/mlflow/master/tests/datasets/winequality-white.csv'. Exception: 
  return _dataset_source_registry.resolve(
/anaconda/envs/azureml_py310_sdkv2/lib/python3.10/site-packages/mlflow/types/utils.py:394: UserWarning: Hint: Inferred schema contains integer column(s). Integer columns in Python cannot represent missing values. If your input data contains missing values at inference time, it will be encoded as floats and will cause a schema enforcement error. The best way to avoid this problem is to infer the model schema based on a realistic data sample (training dataset) that includes missing values. Alternatively, you can declare integer columns as doubles (float64) whenever these columns may have missing values. See `Handling Integers With Missing Values <https://www.mlflow.org/docs/latest/models.html#handling-integers-with-missing-values>`_ for more details.
  warnings.warn(
2024/06/05 08:38:53 DEBUG mlflow.models.evaluation.base: Evaluating the model with the default evaluator.
2024/06/05 08:38:53 INFO mlflow.models.evaluation.default_evaluator: The evaluation dataset is inferred as binary dataset, positive label is 1, negative label is 0.
2024/06/05 08:38:53 INFO mlflow.models.evaluation.default_evaluator: Testing metrics on first row...
/anaconda/envs/azureml_py310_sdkv2/lib/python3.10/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
  from .autonotebook import tqdm as notebook_tqdm
2024/06/05 08:38:57 INFO mlflow.models.evaluation.default_evaluator: Shap explainer PermutationExplainer is used.
2024/06/05 08:39:01 WARNING mlflow.models.evaluation.default_evaluator: Shap evaluation failed. Reason: TypeError("'NoneType' object is not callable"). Set logging level to DEBUG to see the full traceback.
2024/06/05 08:39:01 DEBUG mlflow.models.evaluation.default_evaluator: 
Traceback (most recent call last):
  File "/anaconda/envs/azureml_py310_sdkv2/lib/python3.10/site-packages/mlflow/models/evaluation/default_evaluator.py", line 959, in _log_model_explainability
    shap_values = explainer(sampled_X)
  File "/anaconda/envs/azureml_py310_sdkv2/lib/python3.10/site-packages/shap/explainers/_permutation.py", line 77, in __call__
    return super().__call__(
  File "/anaconda/envs/azureml_py310_sdkv2/lib/python3.10/site-packages/shap/explainers/_explainer.py", line 266, in __call__
    row_result = self.explain_row(
  File "/anaconda/envs/azureml_py310_sdkv2/lib/python3.10/site-packages/shap/explainers/_permutation.py", line 133, in explain_row
    outputs = fm(masks, zero_index=0, batch_size=batch_size)
  File "/anaconda/envs/azureml_py310_sdkv2/lib/python3.10/site-packages/shap/utils/_masked_model.py", line 60, in __call__
    return self._delta_masking_call(masks, zero_index=zero_index, batch_size=batch_size)
  File "/anaconda/envs/azureml_py310_sdkv2/lib/python3.10/site-packages/shap/utils/_masked_model.py", line 206, in _delta_masking_call
    outputs = self.model(*subset_masked_inputs)
  File "/anaconda/envs/azureml_py310_sdkv2/lib/python3.10/site-packages/shap/models/_model.py", line 21, in __call__
    out = self.inner_model(*args)
  File "/anaconda/envs/azureml_py310_sdkv2/lib/python3.10/site-packages/mlflow/models/evaluation/default_evaluator.py", line 750, in _shap_predict_fn
    return predict_fn(_get_dataframe_with_renamed_columns(x, feature_names))
TypeError: 'NoneType' object is not callable
2024/06/05 08:39:02 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.ensemble._forest.RandomForestClassifier'>.fit' for sklearn autologging with args '(RandomForestClassifier(n_estimators=50),       fixed acidity  volatile acidity  citric acid  residual sugar  chlorides  \
2046            8.3              0.33         0.43            9.20      0.046   
356             7.3              0.22         0.37           14.30      0.063   
3541            8.1              0.26         0.27            4.30      0.030   
3114            6.3              0.17         0.32            4.20      0.040   
469             7.2              0.29         0.53           18.15      0.047   
...             ...               ...          ...             ...        ...   
527             6.1              0.28         0.22            1.80      0.034   
1932            9.2              0.71         0.23            6.20      0.042   
2941            7.2              0.30         0.30            8.70      0.022   
4468            6.2              0.21         0.24            1.20      0.051   
3643            6.8              0.19         0.33            4.90      0.047   

      free sulfur dioxide  total sulfur dioxide  density    pH  sulphates  \
2046                 22.0                 126.0  0.99820  3.38       0.47   
356                  48.0                 191.0  0.99780  2.89       0.38   
3541                 43.0                 123.0  0.99212  3.16       0.33   
3114                 37.0                 117.0  0.99182  3.24       0.43   
469                  59.0                 182.0  0.99920  3.09       0.52   
...                   ...                   ...      ...   ...        ...   
527                  32.0                 116.0  0.98980  3.36       0.44   
1932                 15.0                  93.0  0.99480  2.89       0.34   
2941                 14.0                 111.0  0.99576  3.11       0.61   
4468                 31.0                  95.0  0.99036  3.24       0.57   
3643                 42.0                 130.0  0.99283  3.12       0.56   

      alcohol  
2046      9.3  
356       9.0  
3541     11.2  
3114     11.3  
469       9.6  
...       ...  
527      12.6  
1932     10.1  
2941     10.6  
4468     11.3  
3643     11.0  

[2448 rows x 11 columns], 2046    0
356     1
3541    1
3114    1
469     0
       ..
527     1
1932    1
2941    0
4468    1
3643    1
Name: quality, Length: 2448, dtype: int64)' and kwargs '{}'
2024/06/05 08:39:02 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.ensemble._forest.RandomForestClassifier'>.fit' for sklearn autologging. Original function was invoked with args '(RandomForestClassifier(n_estimators=50),       fixed acidity  volatile acidity  citric acid  residual sugar  chlorides  \
2046            8.3              0.33         0.43            9.20      0.046   
356             7.3              0.22         0.37           14.30      0.063   
3541            8.1              0.26         0.27            4.30      0.030   
3114            6.3              0.17         0.32            4.20      0.040   
469             7.2              0.29         0.53           18.15      0.047   
...             ...               ...          ...             ...        ...   
527             6.1              0.28         0.22            1.80      0.034   
1932            9.2              0.71         0.23            6.20      0.042   
2941            7.2              0.30         0.30            8.70      0.022   
4468            6.2              0.21         0.24            1.20      0.051   
3643            6.8              0.19         0.33            4.90      0.047   

      free sulfur dioxide  total sulfur dioxide  density    pH  sulphates  \
2046                 22.0                 126.0  0.99820  3.38       0.47   
356                  48.0                 191.0  0.99780  2.89       0.38   
3541                 43.0                 123.0  0.99212  3.16       0.33   
3114                 37.0                 117.0  0.99182  3.24       0.43   
469                  59.0                 182.0  0.99920  3.09       0.52   
...                   ...                   ...      ...   ...        ...   
527                  32.0                 116.0  0.98980  3.36       0.44   
1932                 15.0                  93.0  0.99480  2.89       0.34   
2941                 14.0                 111.0  0.99576  3.11       0.61   
4468                 31.0                  95.0  0.99036  3.24       0.57   
3643                 42.0                 130.0  0.99283  3.12       0.56   

      alcohol  
2046      9.3  
356       9.0  
3541     11.2  
3114     11.3  
469       9.6  
...       ...  
527      12.6  
1932     10.1  
2941     10.6  
4468     11.3  
3643     11.0  

[2448 rows x 11 columns], 2046    0
356     1
3541    1
3114    1
469     0
       ..
527     1
1932    1
2941    0
4468    1
3643    1
Name: quality, Length: 2448, dtype: int64)' and kwargs '{}'
2024/06/05 08:39:02 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=404463942), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 0., 2., ..., 1., 2., 1.]), 'check_input': False}'
2024/06/05 08:39:02 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=404463942), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 0., 2., ..., 1., 2., 1.]), 'check_input': False}'
2024/06/05 08:39:02 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=404463942), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 0., 2., ..., 1., 2., 1.]), 'check_input': False}'
2024/06/05 08:39:02 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=404463942), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 0., 2., ..., 1., 2., 1.]), 'check_input': False}'
2024/06/05 08:39:02 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=371735073), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 0., 1., ..., 1., 0., 1.]), 'check_input': False}'
2024/06/05 08:39:02 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=371735073), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 0., 1., ..., 1., 0., 1.]), 'check_input': False}'
2024/06/05 08:39:02 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=371735073), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 0., 1., ..., 1., 0., 1.]), 'check_input': False}'
2024/06/05 08:39:02 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=371735073), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 0., 1., ..., 1., 0., 1.]), 'check_input': False}'
2024/06/05 08:39:02 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1280308964), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 2., 0., ..., 1., 0., 0.]), 'check_input': False}'
2024/06/05 08:39:02 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1280308964), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 2., 0., ..., 1., 0., 0.]), 'check_input': False}'
2024/06/05 08:39:02 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1280308964), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 2., 0., ..., 1., 0., 0.]), 'check_input': False}'
2024/06/05 08:39:02 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1280308964), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 2., 0., ..., 1., 0., 0.]), 'check_input': False}'
2024/06/05 08:39:02 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1691931911), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 3., 0., ..., 3., 0., 3.]), 'check_input': False}'
2024/06/05 08:39:02 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1691931911), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 3., 0., ..., 3., 0., 3.]), 'check_input': False}'
2024/06/05 08:39:02 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1691931911), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 3., 0., ..., 3., 0., 3.]), 'check_input': False}'
2024/06/05 08:39:02 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1691931911), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 3., 0., ..., 3., 0., 3.]), 'check_input': False}'
2024/06/05 08:39:02 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=15366613), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 2., 5., ..., 0., 1., 1.]), 'check_input': False}'
2024/06/05 08:39:02 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=15366613), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 2., 5., ..., 0., 1., 1.]), 'check_input': False}'
2024/06/05 08:39:02 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=15366613), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 2., 5., ..., 0., 1., 1.]), 'check_input': False}'
2024/06/05 08:39:02 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=15366613), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 2., 5., ..., 0., 1., 1.]), 'check_input': False}'
2024/06/05 08:39:02 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=625235780), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([3., 0., 3., ..., 2., 0., 0.]), 'check_input': False}'
2024/06/05 08:39:02 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=625235780), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([3., 0., 3., ..., 2., 0., 0.]), 'check_input': False}'
2024/06/05 08:39:02 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=625235780), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([3., 0., 3., ..., 2., 0., 0.]), 'check_input': False}'
2024/06/05 08:39:02 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=625235780), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([3., 0., 3., ..., 2., 0., 0.]), 'check_input': False}'
2024/06/05 08:39:02 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1967416695), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([2., 0., 0., ..., 2., 2., 1.]), 'check_input': False}'
2024/06/05 08:39:02 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1967416695), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([2., 0., 0., ..., 2., 2., 1.]), 'check_input': False}'
2024/06/05 08:39:02 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1967416695), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([2., 0., 0., ..., 2., 2., 1.]), 'check_input': False}'
2024/06/05 08:39:02 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1967416695), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([2., 0., 0., ..., 2., 2., 1.]), 'check_input': False}'
2024/06/05 08:39:02 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1460592344), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([2., 1., 0., ..., 1., 1., 1.]), 'check_input': False}'
2024/06/05 08:39:02 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1460592344), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([2., 1., 0., ..., 1., 1., 1.]), 'check_input': False}'
2024/06/05 08:39:02 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1460592344), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([2., 1., 0., ..., 1., 1., 1.]), 'check_input': False}'
2024/06/05 08:39:02 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1460592344), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([2., 1., 0., ..., 1., 1., 1.]), 'check_input': False}'
2024/06/05 08:39:02 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=670181492), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 1., 0., ..., 1., 1., 3.]), 'check_input': False}'
2024/06/05 08:39:02 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=670181492), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 1., 0., ..., 1., 1., 3.]), 'check_input': False}'
2024/06/05 08:39:02 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=670181492), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 1., 0., ..., 1., 1., 3.]), 'check_input': False}'
2024/06/05 08:39:02 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=670181492), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 1., 0., ..., 1., 1., 3.]), 'check_input': False}'
2024/06/05 08:39:02 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1580936450), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 2., 2., ..., 0., 1., 3.]), 'check_input': False}'
2024/06/05 08:39:02 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1580936450), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 2., 2., ..., 0., 1., 3.]), 'check_input': False}'
2024/06/05 08:39:02 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1580936450), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 2., 2., ..., 0., 1., 3.]), 'check_input': False}'
2024/06/05 08:39:02 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1580936450), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 2., 2., ..., 0., 1., 3.]), 'check_input': False}'
2024/06/05 08:39:02 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=555519398), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 0., 0., ..., 2., 2., 2.]), 'check_input': False}'
2024/06/05 08:39:02 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=555519398), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 0., 0., ..., 2., 2., 2.]), 'check_input': False}'
2024/06/05 08:39:02 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=555519398), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 0., 0., ..., 2., 2., 2.]), 'check_input': False}'
2024/06/05 08:39:02 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=555519398), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 0., 0., ..., 2., 2., 2.]), 'check_input': False}'
2024/06/05 08:39:02 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=555902553), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 1., 2., ..., 1., 1., 1.]), 'check_input': False}'
2024/06/05 08:39:02 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=555902553), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 1., 2., ..., 1., 1., 1.]), 'check_input': False}'
2024/06/05 08:39:02 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=555902553), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 1., 2., ..., 1., 1., 1.]), 'check_input': False}'
2024/06/05 08:39:02 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=555902553), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 1., 2., ..., 1., 1., 1.]), 'check_input': False}'
2024/06/05 08:39:02 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=17349342), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 1., 1., ..., 0., 0., 1.]), 'check_input': False}'
2024/06/05 08:39:02 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=17349342), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 1., 1., ..., 0., 0., 1.]), 'check_input': False}'
2024/06/05 08:39:02 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=17349342), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 1., 1., ..., 0., 0., 1.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=17349342), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 1., 1., ..., 0., 0., 1.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1098842643), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 2., 3., ..., 1., 2., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1098842643), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 2., 3., ..., 1., 2., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1098842643), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 2., 3., ..., 1., 2., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1098842643), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 2., 3., ..., 1., 2., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=829209219), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([3., 1., 3., ..., 0., 0., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=829209219), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([3., 1., 3., ..., 0., 0., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=829209219), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([3., 1., 3., ..., 0., 0., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=829209219), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([3., 1., 3., ..., 0., 0., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=511020061), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 1., 1., ..., 0., 0., 2.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=511020061), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 1., 1., ..., 0., 0., 2.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=511020061), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 1., 1., ..., 0., 0., 2.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=511020061), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 1., 1., ..., 0., 0., 2.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1530305880), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([2., 0., 1., ..., 0., 1., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1530305880), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([2., 0., 1., ..., 0., 1., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1530305880), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([2., 0., 1., ..., 0., 1., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1530305880), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([2., 0., 1., ..., 0., 1., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1969414695), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 3., 2., ..., 0., 0., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1969414695), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 3., 2., ..., 0., 0., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1969414695), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 3., 2., ..., 0., 0., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1969414695), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 3., 2., ..., 0., 0., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2028964690), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([5., 2., 1., ..., 1., 1., 1.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2028964690), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([5., 2., 1., ..., 1., 1., 1.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2028964690), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([5., 2., 1., ..., 1., 1., 1.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2028964690), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([5., 2., 1., ..., 1., 1., 1.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1604997686), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 0., 2., ..., 2., 0., 2.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1604997686), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 0., 2., ..., 2., 0., 2.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1604997686), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 0., 2., ..., 2., 0., 2.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1604997686), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 0., 2., ..., 2., 0., 2.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1247898094), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([2., 2., 0., ..., 2., 0., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1247898094), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([2., 2., 0., ..., 2., 0., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1247898094), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([2., 2., 0., ..., 2., 0., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1247898094), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([2., 2., 0., ..., 2., 0., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1751050295), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 0., 0., ..., 2., 0., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1751050295), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 0., 0., ..., 2., 0., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1751050295), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 0., 0., ..., 2., 0., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1751050295), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 0., 0., ..., 2., 0., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1234071210), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 2., 1., ..., 0., 1., 3.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1234071210), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 2., 1., ..., 0., 1., 3.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1234071210), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 2., 1., ..., 0., 1., 3.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1234071210), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 2., 1., ..., 0., 1., 3.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=480582243), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([2., 0., 0., ..., 2., 3., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=480582243), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([2., 0., 0., ..., 2., 3., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=480582243), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([2., 0., 0., ..., 2., 3., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=480582243), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([2., 0., 0., ..., 2., 3., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=615169054), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 3., 2., ..., 1., 0., 1.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=615169054), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 3., 2., ..., 1., 0., 1.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=615169054), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 3., 2., ..., 1., 0., 1.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=615169054), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 3., 2., ..., 1., 0., 1.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2050848439), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 0., 1., ..., 1., 1., 1.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2050848439), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 0., 1., ..., 1., 1., 1.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2050848439), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 0., 1., ..., 1., 1., 1.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2050848439), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 0., 1., ..., 1., 1., 1.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1555698918), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([2., 1., 0., ..., 0., 2., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1555698918), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([2., 1., 0., ..., 0., 2., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1555698918), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([2., 1., 0., ..., 0., 2., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1555698918), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([2., 1., 0., ..., 0., 2., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=26179781), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 0., 1., ..., 0., 0., 3.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=26179781), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 0., 1., ..., 0., 0., 3.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=26179781), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 0., 1., ..., 0., 0., 3.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=26179781), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 0., 1., ..., 0., 0., 3.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=598612526), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 2., 0., ..., 0., 0., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=598612526), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 2., 0., ..., 0., 0., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=598612526), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 2., 0., ..., 0., 0., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=598612526), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 2., 0., ..., 0., 0., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=323026163), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 1., 1., ..., 0., 2., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=323026163), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 1., 1., ..., 0., 2., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=323026163), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 1., 1., ..., 0., 2., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=323026163), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 1., 1., ..., 0., 2., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2125981145), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 0., 1., ..., 0., 0., 2.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2125981145), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 0., 1., ..., 0., 0., 2.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2125981145), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 0., 1., ..., 0., 0., 2.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2125981145), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 0., 1., ..., 0., 0., 2.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=574201735), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 2., 1., ..., 1., 2., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=574201735), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 2., 1., ..., 1., 2., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=574201735), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 2., 1., ..., 1., 2., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=574201735), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 2., 1., ..., 1., 2., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1782971355), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 2., 1., ..., 0., 1., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1782971355), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 2., 1., ..., 0., 1., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1782971355), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 2., 1., ..., 0., 1., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1782971355), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 2., 1., ..., 0., 1., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1711060770), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 1., 2., ..., 2., 0., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1711060770), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 1., 2., ..., 2., 0., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1711060770), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 1., 2., ..., 2., 0., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1711060770), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 1., 2., ..., 2., 0., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=202539690), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 1., 0., ..., 2., 0., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=202539690), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 1., 0., ..., 2., 0., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=202539690), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 1., 0., ..., 2., 0., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=202539690), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 1., 0., ..., 2., 0., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=591680291), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 0., 0., ..., 2., 0., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=591680291), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 0., 0., ..., 2., 0., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=591680291), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 0., 0., ..., 2., 0., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=591680291), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 0., 0., ..., 2., 0., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=344094850), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 1., 2., ..., 1., 1., 1.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=344094850), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 1., 2., ..., 1., 1., 1.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=344094850), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 1., 2., ..., 1., 1., 1.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=344094850), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 1., 2., ..., 1., 1., 1.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1341651672), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 0., 0., ..., 1., 0., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1341651672), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 0., 0., ..., 1., 0., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1341651672), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 0., 0., ..., 1., 0., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1341651672), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 0., 0., ..., 1., 0., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2099191760), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([2., 2., 1., ..., 1., 2., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2099191760), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([2., 2., 1., ..., 1., 2., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2099191760), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([2., 2., 1., ..., 1., 2., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2099191760), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([2., 2., 1., ..., 1., 2., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=151921307), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 1., 0., ..., 4., 0., 3.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=151921307), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 1., 0., ..., 4., 0., 3.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=151921307), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 1., 0., ..., 4., 0., 3.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=151921307), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 1., 0., ..., 4., 0., 3.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=178060837), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 0., 0., ..., 2., 0., 1.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=178060837), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 0., 0., ..., 2., 0., 1.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=178060837), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 0., 0., ..., 2., 0., 1.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=178060837), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 0., 0., ..., 2., 0., 1.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1466338877), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([2., 1., 0., ..., 0., 0., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1466338877), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([2., 1., 0., ..., 0., 0., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1466338877), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([2., 1., 0., ..., 0., 0., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1466338877), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([2., 1., 0., ..., 0., 0., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2016131071), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 0., 0., ..., 0., 1., 1.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2016131071), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 0., 0., ..., 0., 1., 1.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2016131071), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 0., 0., ..., 0., 1., 1.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2016131071), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 0., 0., ..., 0., 1., 1.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=506181667), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([2., 0., 0., ..., 1., 0., 1.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=506181667), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([2., 0., 0., ..., 1., 0., 1.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=506181667), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([2., 0., 0., ..., 1., 0., 1.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=506181667), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([2., 0., 0., ..., 1., 0., 1.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1373991024), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([2., 2., 0., ..., 1., 0., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1373991024), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([2., 2., 0., ..., 1., 0., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1373991024), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([2., 2., 0., ..., 1., 0., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1373991024), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([2., 2., 0., ..., 1., 0., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1200344041), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 2., 1., ..., 2., 1., 1.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1200344041), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 2., 1., ..., 2., 1., 1.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1200344041), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 2., 1., ..., 2., 1., 1.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1200344041), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 2., 1., ..., 2., 1., 1.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=178589052), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 2., 2., ..., 0., 0., 2.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=178589052), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 2., 2., ..., 0., 0., 2.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=178589052), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 2., 2., ..., 0., 0., 2.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=178589052), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([1., 2., 2., ..., 0., 0., 2.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1063779164), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 1., 0., ..., 2., 2., 1.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1063779164), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 1., 0., ..., 2., 2., 1.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1063779164), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 1., 0., ..., 2., 2., 1.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1063779164), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 1., 0., ..., 2., 2., 1.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1140366423), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 0., 1., ..., 3., 2., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1140366423), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 0., 1., ..., 3., 2., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1140366423), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 0., 1., ..., 3., 2., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1140366423), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 0., 1., ..., 3., 2., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=252728799), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 2., 2., ..., 0., 1., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=252728799), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 2., 2., ..., 0., 1., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=252728799), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 2., 2., ..., 0., 1., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.fit' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=252728799), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32), array([[0.],
       [1.],
       [1.],
       ...,
       [0.],
       [1.],
       [1.]]))' and kwargs '{'sample_weight': array([0., 2., 2., ..., 0., 1., 0.]), 'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.ensemble._forest.RandomForestClassifier'>.fit' for sklearn autologging. Original function was invoked with with args '(RandomForestClassifier(n_estimators=50),       fixed acidity  volatile acidity  citric acid  residual sugar  chlorides  \
2046            8.3              0.33         0.43            9.20      0.046   
356             7.3              0.22         0.37           14.30      0.063   
3541            8.1              0.26         0.27            4.30      0.030   
3114            6.3              0.17         0.32            4.20      0.040   
469             7.2              0.29         0.53           18.15      0.047   
...             ...               ...          ...             ...        ...   
527             6.1              0.28         0.22            1.80      0.034   
1932            9.2              0.71         0.23            6.20      0.042   
2941            7.2              0.30         0.30            8.70      0.022   
4468            6.2              0.21         0.24            1.20      0.051   
3643            6.8              0.19         0.33            4.90      0.047   

      free sulfur dioxide  total sulfur dioxide  density    pH  sulphates  \
2046                 22.0                 126.0  0.99820  3.38       0.47   
356                  48.0                 191.0  0.99780  2.89       0.38   
3541                 43.0                 123.0  0.99212  3.16       0.33   
3114                 37.0                 117.0  0.99182  3.24       0.43   
469                  59.0                 182.0  0.99920  3.09       0.52   
...                   ...                   ...      ...   ...        ...   
527                  32.0                 116.0  0.98980  3.36       0.44   
1932                 15.0                  93.0  0.99480  2.89       0.34   
2941                 14.0                 111.0  0.99576  3.11       0.61   
4468                 31.0                  95.0  0.99036  3.24       0.57   
3643                 42.0                 130.0  0.99283  3.12       0.56   

      alcohol  
2046      9.3  
356       9.0  
3541     11.2  
3114     11.3  
469       9.6  
...       ...  
527      12.6  
1932     10.1  
2941     10.6  
4468     11.3  
3643     11.0  

[2448 rows x 11 columns], 2046    0
356     1
3541    1
3114    1
469     0
       ..
527     1
1932    1
2941    0
4468    1
3643    1
Name: quality, Length: 2448, dtype: int64)' and kwargs '{}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.ensemble._forest.RandomForestClassifier'>.predict' for sklearn autologging with args '(RandomForestClassifier(n_estimators=50),       fixed acidity  volatile acidity  citric acid  residual sugar  chlorides  \
2046            8.3              0.33         0.43            9.20      0.046   
356             7.3              0.22         0.37           14.30      0.063   
3541            8.1              0.26         0.27            4.30      0.030   
3114            6.3              0.17         0.32            4.20      0.040   
469             7.2              0.29         0.53           18.15      0.047   
...             ...               ...          ...             ...        ...   
527             6.1              0.28         0.22            1.80      0.034   
1932            9.2              0.71         0.23            6.20      0.042   
2941            7.2              0.30         0.30            8.70      0.022   
4468            6.2              0.21         0.24            1.20      0.051   
3643            6.8              0.19         0.33            4.90      0.047   

      free sulfur dioxide  total sulfur dioxide  density    pH  sulphates  \
2046                 22.0                 126.0  0.99820  3.38       0.47   
356                  48.0                 191.0  0.99780  2.89       0.38   
3541                 43.0                 123.0  0.99212  3.16       0.33   
3114                 37.0                 117.0  0.99182  3.24       0.43   
469                  59.0                 182.0  0.99920  3.09       0.52   
...                   ...                   ...      ...   ...        ...   
527                  32.0                 116.0  0.98980  3.36       0.44   
1932                 15.0                  93.0  0.99480  2.89       0.34   
2941                 14.0                 111.0  0.99576  3.11       0.61   
4468                 31.0                  95.0  0.99036  3.24       0.57   
3643                 42.0                 130.0  0.99283  3.12       0.56   

      alcohol  
2046      9.3  
356       9.0  
3541     11.2  
3114     11.3  
469       9.6  
...       ...  
527      12.6  
1932     10.1  
2941     10.6  
4468     11.3  
3643     11.0  

[2448 rows x 11 columns])' and kwargs '{}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.ensemble._forest.RandomForestClassifier'>.predict' for sklearn autologging. Original function was invoked with args '(RandomForestClassifier(n_estimators=50),       fixed acidity  volatile acidity  citric acid  residual sugar  chlorides  \
2046            8.3              0.33         0.43            9.20      0.046   
356             7.3              0.22         0.37           14.30      0.063   
3541            8.1              0.26         0.27            4.30      0.030   
3114            6.3              0.17         0.32            4.20      0.040   
469             7.2              0.29         0.53           18.15      0.047   
...             ...               ...          ...             ...        ...   
527             6.1              0.28         0.22            1.80      0.034   
1932            9.2              0.71         0.23            6.20      0.042   
2941            7.2              0.30         0.30            8.70      0.022   
4468            6.2              0.21         0.24            1.20      0.051   
3643            6.8              0.19         0.33            4.90      0.047   

      free sulfur dioxide  total sulfur dioxide  density    pH  sulphates  \
2046                 22.0                 126.0  0.99820  3.38       0.47   
356                  48.0                 191.0  0.99780  2.89       0.38   
3541                 43.0                 123.0  0.99212  3.16       0.33   
3114                 37.0                 117.0  0.99182  3.24       0.43   
469                  59.0                 182.0  0.99920  3.09       0.52   
...                   ...                   ...      ...   ...        ...   
527                  32.0                 116.0  0.98980  3.36       0.44   
1932                 15.0                  93.0  0.99480  2.89       0.34   
2941                 14.0                 111.0  0.99576  3.11       0.61   
4468                 31.0                  95.0  0.99036  3.24       0.57   
3643                 42.0                 130.0  0.99283  3.12       0.56   

      alcohol  
2046      9.3  
356       9.0  
3541     11.2  
3114     11.3  
469       9.6  
...       ...  
527      12.6  
1932     10.1  
2941     10.6  
4468     11.3  
3643     11.0  

[2448 rows x 11 columns])' and kwargs '{}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.ensemble._forest.RandomForestClassifier'>.predict_proba' for sklearn autologging with args '(RandomForestClassifier(n_estimators=50),       fixed acidity  volatile acidity  citric acid  residual sugar  chlorides  \
2046            8.3              0.33         0.43            9.20      0.046   
356             7.3              0.22         0.37           14.30      0.063   
3541            8.1              0.26         0.27            4.30      0.030   
3114            6.3              0.17         0.32            4.20      0.040   
469             7.2              0.29         0.53           18.15      0.047   
...             ...               ...          ...             ...        ...   
527             6.1              0.28         0.22            1.80      0.034   
1932            9.2              0.71         0.23            6.20      0.042   
2941            7.2              0.30         0.30            8.70      0.022   
4468            6.2              0.21         0.24            1.20      0.051   
3643            6.8              0.19         0.33            4.90      0.047   

      free sulfur dioxide  total sulfur dioxide  density    pH  sulphates  \
2046                 22.0                 126.0  0.99820  3.38       0.47   
356                  48.0                 191.0  0.99780  2.89       0.38   
3541                 43.0                 123.0  0.99212  3.16       0.33   
3114                 37.0                 117.0  0.99182  3.24       0.43   
469                  59.0                 182.0  0.99920  3.09       0.52   
...                   ...                   ...      ...   ...        ...   
527                  32.0                 116.0  0.98980  3.36       0.44   
1932                 15.0                  93.0  0.99480  2.89       0.34   
2941                 14.0                 111.0  0.99576  3.11       0.61   
4468                 31.0                  95.0  0.99036  3.24       0.57   
3643                 42.0                 130.0  0.99283  3.12       0.56   

      alcohol  
2046      9.3  
356       9.0  
3541     11.2  
3114     11.3  
469       9.6  
...       ...  
527      12.6  
1932     10.1  
2941     10.6  
4468     11.3  
3643     11.0  

[2448 rows x 11 columns])' and kwargs '{}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.ensemble._forest.RandomForestClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(RandomForestClassifier(n_estimators=50),       fixed acidity  volatile acidity  citric acid  residual sugar  chlorides  \
2046            8.3              0.33         0.43            9.20      0.046   
356             7.3              0.22         0.37           14.30      0.063   
3541            8.1              0.26         0.27            4.30      0.030   
3114            6.3              0.17         0.32            4.20      0.040   
469             7.2              0.29         0.53           18.15      0.047   
...             ...               ...          ...             ...        ...   
527             6.1              0.28         0.22            1.80      0.034   
1932            9.2              0.71         0.23            6.20      0.042   
2941            7.2              0.30         0.30            8.70      0.022   
4468            6.2              0.21         0.24            1.20      0.051   
3643            6.8              0.19         0.33            4.90      0.047   

      free sulfur dioxide  total sulfur dioxide  density    pH  sulphates  \
2046                 22.0                 126.0  0.99820  3.38       0.47   
356                  48.0                 191.0  0.99780  2.89       0.38   
3541                 43.0                 123.0  0.99212  3.16       0.33   
3114                 37.0                 117.0  0.99182  3.24       0.43   
469                  59.0                 182.0  0.99920  3.09       0.52   
...                   ...                   ...      ...   ...        ...   
527                  32.0                 116.0  0.98980  3.36       0.44   
1932                 15.0                  93.0  0.99480  2.89       0.34   
2941                 14.0                 111.0  0.99576  3.11       0.61   
4468                 31.0                  95.0  0.99036  3.24       0.57   
3643                 42.0                 130.0  0.99283  3.12       0.56   

      alcohol  
2046      9.3  
356       9.0  
3541     11.2  
3114     11.3  
469       9.6  
...       ...  
527      12.6  
1932     10.1  
2941     10.6  
4468     11.3  
3643     11.0  

[2448 rows x 11 columns])' and kwargs '{}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=404463942), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=404463942), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=404463942), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=404463942), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=371735073), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=371735073), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=371735073), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=371735073), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1280308964), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1280308964), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1280308964), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1280308964), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1691931911), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1691931911), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1691931911), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1691931911), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=15366613), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=15366613), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=15366613), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=15366613), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=625235780), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=625235780), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=625235780), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=625235780), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1967416695), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1967416695), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1967416695), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1967416695), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1460592344), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1460592344), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1460592344), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1460592344), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=670181492), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=670181492), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=670181492), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=670181492), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1580936450), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1580936450), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1580936450), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1580936450), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=555519398), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=555519398), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=555519398), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=555519398), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=555902553), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=555902553), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=555902553), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=555902553), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=17349342), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=17349342), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=17349342), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=17349342), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1098842643), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1098842643), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1098842643), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1098842643), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=829209219), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=829209219), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=829209219), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=829209219), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=511020061), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=511020061), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=511020061), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=511020061), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1530305880), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1530305880), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1530305880), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1530305880), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1969414695), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1969414695), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1969414695), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1969414695), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2028964690), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2028964690), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2028964690), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2028964690), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1604997686), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1604997686), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1604997686), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1604997686), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1247898094), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1247898094), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1247898094), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1247898094), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1751050295), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1751050295), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1751050295), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1751050295), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1234071210), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1234071210), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1234071210), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1234071210), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=480582243), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=480582243), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=480582243), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=480582243), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=615169054), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=615169054), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=615169054), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=615169054), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2050848439), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2050848439), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2050848439), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2050848439), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1555698918), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1555698918), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1555698918), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1555698918), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=26179781), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=26179781), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=26179781), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=26179781), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=598612526), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=598612526), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=598612526), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=598612526), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=323026163), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=323026163), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=323026163), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=323026163), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2125981145), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2125981145), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2125981145), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2125981145), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=574201735), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=574201735), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=574201735), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=574201735), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1782971355), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1782971355), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1782971355), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1782971355), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1711060770), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1711060770), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1711060770), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1711060770), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=202539690), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=202539690), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=202539690), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=202539690), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=591680291), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=591680291), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=591680291), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=591680291), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=344094850), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=344094850), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=344094850), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=344094850), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1341651672), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1341651672), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1341651672), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1341651672), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2099191760), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2099191760), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2099191760), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2099191760), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=151921307), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=151921307), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=151921307), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=151921307), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=178060837), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=178060837), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=178060837), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=178060837), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1466338877), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1466338877), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1466338877), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1466338877), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2016131071), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2016131071), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2016131071), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2016131071), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=506181667), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=506181667), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=506181667), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=506181667), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1373991024), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1373991024), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1373991024), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1373991024), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1200344041), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1200344041), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1200344041), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1200344041), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=178589052), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=178589052), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=178589052), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=178589052), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1063779164), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1063779164), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1063779164), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1063779164), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1140366423), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1140366423), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1140366423), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1140366423), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=252728799), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=252728799), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=252728799), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=252728799), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.ensemble._forest.RandomForestClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(RandomForestClassifier(n_estimators=50),       fixed acidity  volatile acidity  citric acid  residual sugar  chlorides  \
2046            8.3              0.33         0.43            9.20      0.046   
356             7.3              0.22         0.37           14.30      0.063   
3541            8.1              0.26         0.27            4.30      0.030   
3114            6.3              0.17         0.32            4.20      0.040   
469             7.2              0.29         0.53           18.15      0.047   
...             ...               ...          ...             ...        ...   
527             6.1              0.28         0.22            1.80      0.034   
1932            9.2              0.71         0.23            6.20      0.042   
2941            7.2              0.30         0.30            8.70      0.022   
4468            6.2              0.21         0.24            1.20      0.051   
3643            6.8              0.19         0.33            4.90      0.047   

      free sulfur dioxide  total sulfur dioxide  density    pH  sulphates  \
2046                 22.0                 126.0  0.99820  3.38       0.47   
356                  48.0                 191.0  0.99780  2.89       0.38   
3541                 43.0                 123.0  0.99212  3.16       0.33   
3114                 37.0                 117.0  0.99182  3.24       0.43   
469                  59.0                 182.0  0.99920  3.09       0.52   
...                   ...                   ...      ...   ...        ...   
527                  32.0                 116.0  0.98980  3.36       0.44   
1932                 15.0                  93.0  0.99480  2.89       0.34   
2941                 14.0                 111.0  0.99576  3.11       0.61   
4468                 31.0                  95.0  0.99036  3.24       0.57   
3643                 42.0                 130.0  0.99283  3.12       0.56   

      alcohol  
2046      9.3  
356       9.0  
3541     11.2  
3114     11.3  
469       9.6  
...       ...  
527      12.6  
1932     10.1  
2941     10.6  
4468     11.3  
3643     11.0  

[2448 rows x 11 columns])' and kwargs '{}'
2024/06/05 08:39:03 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.ensemble._forest.RandomForestClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(RandomForestClassifier(n_estimators=50),       fixed acidity  volatile acidity  citric acid  residual sugar  chlorides  \
2046            8.3              0.33         0.43            9.20      0.046   
356             7.3              0.22         0.37           14.30      0.063   
3541            8.1              0.26         0.27            4.30      0.030   
3114            6.3              0.17         0.32            4.20      0.040   
469             7.2              0.29         0.53           18.15      0.047   
...             ...               ...          ...             ...        ...   
527             6.1              0.28         0.22            1.80      0.034   
1932            9.2              0.71         0.23            6.20      0.042   
2941            7.2              0.30         0.30            8.70      0.022   
4468            6.2              0.21         0.24            1.20      0.051   
3643            6.8              0.19         0.33            4.90      0.047   

      free sulfur dioxide  total sulfur dioxide  density    pH  sulphates  \
2046                 22.0                 126.0  0.99820  3.38       0.47   
356                  48.0                 191.0  0.99780  2.89       0.38   
3541                 43.0                 123.0  0.99212  3.16       0.33   
3114                 37.0                 117.0  0.99182  3.24       0.43   
469                  59.0                 182.0  0.99920  3.09       0.52   
...                   ...                   ...      ...   ...        ...   
527                  32.0                 116.0  0.98980  3.36       0.44   
1932                 15.0                  93.0  0.99480  2.89       0.34   
2941                 14.0                 111.0  0.99576  3.11       0.61   
4468                 31.0                  95.0  0.99036  3.24       0.57   
3643                 42.0                 130.0  0.99283  3.12       0.56   

      alcohol  
2046      9.3  
356       9.0  
3541     11.2  
3114     11.3  
469       9.6  
...       ...  
527      12.6  
1932     10.1  
2941     10.6  
4468     11.3  
3643     11.0  

[2448 rows x 11 columns])' and kwargs '{}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.ensemble._forest.RandomForestClassifier'>.predict' for sklearn autologging. Original function was invoked with with args '(RandomForestClassifier(n_estimators=50),       fixed acidity  volatile acidity  citric acid  residual sugar  chlorides  \
2046            8.3              0.33         0.43            9.20      0.046   
356             7.3              0.22         0.37           14.30      0.063   
3541            8.1              0.26         0.27            4.30      0.030   
3114            6.3              0.17         0.32            4.20      0.040   
469             7.2              0.29         0.53           18.15      0.047   
...             ...               ...          ...             ...        ...   
527             6.1              0.28         0.22            1.80      0.034   
1932            9.2              0.71         0.23            6.20      0.042   
2941            7.2              0.30         0.30            8.70      0.022   
4468            6.2              0.21         0.24            1.20      0.051   
3643            6.8              0.19         0.33            4.90      0.047   

      free sulfur dioxide  total sulfur dioxide  density    pH  sulphates  \
2046                 22.0                 126.0  0.99820  3.38       0.47   
356                  48.0                 191.0  0.99780  2.89       0.38   
3541                 43.0                 123.0  0.99212  3.16       0.33   
3114                 37.0                 117.0  0.99182  3.24       0.43   
469                  59.0                 182.0  0.99920  3.09       0.52   
...                   ...                   ...      ...   ...        ...   
527                  32.0                 116.0  0.98980  3.36       0.44   
1932                 15.0                  93.0  0.99480  2.89       0.34   
2941                 14.0                 111.0  0.99576  3.11       0.61   
4468                 31.0                  95.0  0.99036  3.24       0.57   
3643                 42.0                 130.0  0.99283  3.12       0.56   

      alcohol  
2046      9.3  
356       9.0  
3541     11.2  
3114     11.3  
469       9.6  
...       ...  
527      12.6  
1932     10.1  
2941     10.6  
4468     11.3  
3643     11.0  

[2448 rows x 11 columns])' and kwargs '{}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.ensemble._forest.RandomForestClassifier'>.predict' for sklearn autologging completed successfully. Patched ML API was called with args '(RandomForestClassifier(n_estimators=50),       fixed acidity  volatile acidity  citric acid  residual sugar  chlorides  \
2046            8.3              0.33         0.43            9.20      0.046   
356             7.3              0.22         0.37           14.30      0.063   
3541            8.1              0.26         0.27            4.30      0.030   
3114            6.3              0.17         0.32            4.20      0.040   
469             7.2              0.29         0.53           18.15      0.047   
...             ...               ...          ...             ...        ...   
527             6.1              0.28         0.22            1.80      0.034   
1932            9.2              0.71         0.23            6.20      0.042   
2941            7.2              0.30         0.30            8.70      0.022   
4468            6.2              0.21         0.24            1.20      0.051   
3643            6.8              0.19         0.33            4.90      0.047   

      free sulfur dioxide  total sulfur dioxide  density    pH  sulphates  \
2046                 22.0                 126.0  0.99820  3.38       0.47   
356                  48.0                 191.0  0.99780  2.89       0.38   
3541                 43.0                 123.0  0.99212  3.16       0.33   
3114                 37.0                 117.0  0.99182  3.24       0.43   
469                  59.0                 182.0  0.99920  3.09       0.52   
...                   ...                   ...      ...   ...        ...   
527                  32.0                 116.0  0.98980  3.36       0.44   
1932                 15.0                  93.0  0.99480  2.89       0.34   
2941                 14.0                 111.0  0.99576  3.11       0.61   
4468                 31.0                  95.0  0.99036  3.24       0.57   
3643                 42.0                 130.0  0.99283  3.12       0.56   

      alcohol  
2046      9.3  
356       9.0  
3541     11.2  
3114     11.3  
469       9.6  
...       ...  
527      12.6  
1932     10.1  
2941     10.6  
4468     11.3  
3643     11.0  

[2448 rows x 11 columns])' and kwargs '{}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.ensemble._forest.RandomForestClassifier'>.predict_proba' for sklearn autologging with args '(RandomForestClassifier(n_estimators=50),       fixed acidity  volatile acidity  citric acid  residual sugar  chlorides  \
2046            8.3              0.33         0.43            9.20      0.046   
356             7.3              0.22         0.37           14.30      0.063   
3541            8.1              0.26         0.27            4.30      0.030   
3114            6.3              0.17         0.32            4.20      0.040   
469             7.2              0.29         0.53           18.15      0.047   
...             ...               ...          ...             ...        ...   
527             6.1              0.28         0.22            1.80      0.034   
1932            9.2              0.71         0.23            6.20      0.042   
2941            7.2              0.30         0.30            8.70      0.022   
4468            6.2              0.21         0.24            1.20      0.051   
3643            6.8              0.19         0.33            4.90      0.047   

      free sulfur dioxide  total sulfur dioxide  density    pH  sulphates  \
2046                 22.0                 126.0  0.99820  3.38       0.47   
356                  48.0                 191.0  0.99780  2.89       0.38   
3541                 43.0                 123.0  0.99212  3.16       0.33   
3114                 37.0                 117.0  0.99182  3.24       0.43   
469                  59.0                 182.0  0.99920  3.09       0.52   
...                   ...                   ...      ...   ...        ...   
527                  32.0                 116.0  0.98980  3.36       0.44   
1932                 15.0                  93.0  0.99480  2.89       0.34   
2941                 14.0                 111.0  0.99576  3.11       0.61   
4468                 31.0                  95.0  0.99036  3.24       0.57   
3643                 42.0                 130.0  0.99283  3.12       0.56   

      alcohol  
2046      9.3  
356       9.0  
3541     11.2  
3114     11.3  
469       9.6  
...       ...  
527      12.6  
1932     10.1  
2941     10.6  
4468     11.3  
3643     11.0  

[2448 rows x 11 columns])' and kwargs '{}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.ensemble._forest.RandomForestClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(RandomForestClassifier(n_estimators=50),       fixed acidity  volatile acidity  citric acid  residual sugar  chlorides  \
2046            8.3              0.33         0.43            9.20      0.046   
356             7.3              0.22         0.37           14.30      0.063   
3541            8.1              0.26         0.27            4.30      0.030   
3114            6.3              0.17         0.32            4.20      0.040   
469             7.2              0.29         0.53           18.15      0.047   
...             ...               ...          ...             ...        ...   
527             6.1              0.28         0.22            1.80      0.034   
1932            9.2              0.71         0.23            6.20      0.042   
2941            7.2              0.30         0.30            8.70      0.022   
4468            6.2              0.21         0.24            1.20      0.051   
3643            6.8              0.19         0.33            4.90      0.047   

      free sulfur dioxide  total sulfur dioxide  density    pH  sulphates  \
2046                 22.0                 126.0  0.99820  3.38       0.47   
356                  48.0                 191.0  0.99780  2.89       0.38   
3541                 43.0                 123.0  0.99212  3.16       0.33   
3114                 37.0                 117.0  0.99182  3.24       0.43   
469                  59.0                 182.0  0.99920  3.09       0.52   
...                   ...                   ...      ...   ...        ...   
527                  32.0                 116.0  0.98980  3.36       0.44   
1932                 15.0                  93.0  0.99480  2.89       0.34   
2941                 14.0                 111.0  0.99576  3.11       0.61   
4468                 31.0                  95.0  0.99036  3.24       0.57   
3643                 42.0                 130.0  0.99283  3.12       0.56   

      alcohol  
2046      9.3  
356       9.0  
3541     11.2  
3114     11.3  
469       9.6  
...       ...  
527      12.6  
1932     10.1  
2941     10.6  
4468     11.3  
3643     11.0  

[2448 rows x 11 columns])' and kwargs '{}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=404463942), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=404463942), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=404463942), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=404463942), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=371735073), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=371735073), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=371735073), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=371735073), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1280308964), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1280308964), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1280308964), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1280308964), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1691931911), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1691931911), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1691931911), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1691931911), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=15366613), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=15366613), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=15366613), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=15366613), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=625235780), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=625235780), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=625235780), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=625235780), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1967416695), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1967416695), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1967416695), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1967416695), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1460592344), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1460592344), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1460592344), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1460592344), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=670181492), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=670181492), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=670181492), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=670181492), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1580936450), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1580936450), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1580936450), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1580936450), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=555519398), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=555519398), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=555519398), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=555519398), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=555902553), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=555902553), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=555902553), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=555902553), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=17349342), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=17349342), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=17349342), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=17349342), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1098842643), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1098842643), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1098842643), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1098842643), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=829209219), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=829209219), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=829209219), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=829209219), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=511020061), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=511020061), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=511020061), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=511020061), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1530305880), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1530305880), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1530305880), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1530305880), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1969414695), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1969414695), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1969414695), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1969414695), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2028964690), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2028964690), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2028964690), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2028964690), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1604997686), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1604997686), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1604997686), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1604997686), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1247898094), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1247898094), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1247898094), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1247898094), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1751050295), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1751050295), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1751050295), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1751050295), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1234071210), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1234071210), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1234071210), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1234071210), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=480582243), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=480582243), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=480582243), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=480582243), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=615169054), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=615169054), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=615169054), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=615169054), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2050848439), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2050848439), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2050848439), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2050848439), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1555698918), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1555698918), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1555698918), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1555698918), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=26179781), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=26179781), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=26179781), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=26179781), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=598612526), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=598612526), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=598612526), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=598612526), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=323026163), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=323026163), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=323026163), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=323026163), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2125981145), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2125981145), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2125981145), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=2125981145), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=574201735), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=574201735), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=574201735), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=574201735), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1782971355), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1782971355), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1782971355), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1782971355), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1711060770), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1711060770), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1711060770), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=1711060770), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=202539690), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=202539690), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=202539690), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging completed successfully. Patched ML API was called with args '(DecisionTreeClassifier(max_features='sqrt', random_state=202539690), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Invoked patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging with args '(DecisionTreeClassifier(max_features='sqrt', random_state=591680291), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Original function invoked during execution of patched API '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with args '(DecisionTreeClassifier(max_features='sqrt', random_state=591680291), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'
2024/06/05 08:39:04 DEBUG mlflow.utils.autologging_utils: Original function invocation completed successfully during execution of patched API call '<class 'sklearn.tree._classes.DecisionTreeClassifier'>.predict_proba' for sklearn autologging. Original function was invoked with with args '(DecisionTreeClassifier(max_features='sqrt', random_state=591680291), array([[ 8.3 ,  0.33,  0.43, ...,  3.38,  0.47,  9.3 ],
       [ 7.3 ,  0.22,  0.37, ...,  2.89,  0.38,  9.  ],
       [ 8.1 ,  0.26,  0.27, ...,  3.16,  0.33, 11.2 ],
       ...,
       [ 7.2 ,  0.3 ,  0.3 , ...,  3.11,  0.61, 10.6 ],
       [ 6.2 ,  0.21,  0.24, ...,  3.24,  0.57, 11.3 ],
       [ 6.8 ,  0.19,  0.33, ...,  3.12,  0.56, 11.  ]], dtype=float32))' and kwargs '{'check_input': False}'

Result

Originally, we wanted the previous run to include SHAP-based explanations and extra metrics. However, we faced two issues:

• In order to get SHAP explanations, the mlflow.evaluate function requires to get a model, which we didn’t introduce. The model needs to be an MLFlow model, and we need to load it from the previous run. We’ll try that below. We found this issue by setting the logger to DEBUG mode:

import logging
logging.getLogger("mlflow").setLevel(logging.DEBUG)

• Extra metrics were a way to use a custom threshold, (precision>=0.7) for binarizing a list of predictions which were given as “probabilities” (from 0 to 1). However, the predictions provided in the pd_dataset object need to be binary, or mlflow.evaluate will fail. Therefore, we need to do the binarization before calling evaluate, and not as an extra metric.
• Apart from that, we failed to log the dataset used for training, which is actually the same than the one used for evaluation. I still need to figure out how to use a dataset that is only a subset of the data. Maybe the best approach is to log two inputs: one for the entire dataset and the other for the indexes of the splits.

with shap, extra metrics, and multiple runs

def f1_at_70 (eval_df, _builtin_metrics):
    y_true = eval_df["target"]
    y_hat = eval_df["prediction"]
    precision, recall, thresholds = precision_recall_curve (y_true, y_hat)
    thresholds = np.append (thresholds, values=1.0)
    threshold=thresholds[precision>0.7].min()
    metrics = classification_report (y_true, y_hat>threshold, output_dict=True)
    return metrics['1']['f1-score']

f1_at_70_metric = mlflow.models.make_metric(
    eval_fn=f1_at_70,
    greater_is_better=True,
)

def fetch_logged_data(run_id):
    client = MlflowClient()
    data = client.get_run(run_id).data
    tags = {k: v for k, v in data.tags.items() if not k.startswith("mlflow.")}
    artifacts = [f.path for f in client.list_artifacts(run_id, "model")]
    return data.params, data.metrics, tags, artifacts

# params, metrics, tags, artificats = fetch_logged_data (active_run.info.run_id)

# read data
dataset_source_url = "https://raw.githubusercontent.com/mlflow/mlflow/master/tests/datasets/winequality-white.csv"
df = pd.read_csv(dataset_source_url, delimiter=";")
dataset: mlflow.data.from_pandas(df, source=dataset_source_url)

# split data
y = df["quality"]
X = df.drop("quality", axis=1)

X = X[(y==6) | (y==5)]
y = y[(y==6) | (y==5)]
y[y==6]=1
y[y==5]=0

X_train, X_test, y_train, y_test = train_test_split(
    X, y, test_size=0.33, random_state=17
)

/anaconda/envs/azureml_py310_sdkv2/lib/python3.10/site-packages/mlflow/data/dataset_source_registry.py:150: UserWarning: Failed to determine whether UCVolumeDatasetSource can resolve source information for 'https://raw.githubusercontent.com/mlflow/mlflow/master/tests/datasets/winequality-white.csv'. Exception: 
  return _dataset_source_registry.resolve(

mlflow.end_run()

# enable autologging
mlflow.autolog()

2024/06/05 16:44:53 INFO mlflow.tracking.fluent: Autologging successfully enabled for sklearn.

n_estimators_values = [25, 50, 100, 200]
idx=0
n_estimators=n_estimators_values[idx]
niter=16

current_run = mlflow.start_run(run_name=f"run_{idx}-{niter}")

#mlflow.log_input(dataset, context="training")

# train model
model = RandomForestClassifier (n_estimators=n_estimators)
model.fit (X_train, y_train)

y_hat = model.predict_proba(X_test)[:, 1]
precision, recall, thresholds = precision_recall_curve (y_test, y_hat)
thresholds = np.append (thresholds, values=1.0)
threshold=thresholds[precision>0.7].min()
y_hat = (y_hat>threshold).astype (int)

# --------------------------------------
#eval_data = X_test.copy()
#eval_data["label"] = y_test

# Assign the decoded predictions to the Evaluation Dataset
#eval_data["predictions"] = y_hat

# Create the PandasDataset for use in mlflow evaluate
X2 = X.copy()
X2["label"]=y
pd_dataset = mlflow.data.from_pandas(
    #X.assign(label=y), 
    X2,
    #predictions="predictions", 
    targets="label", 
    source=dataset_source_url, 
    name="wine-quality-white-15", 
)

model_uri = f"runs:/{current_run.info.run_id}/model"
result = mlflow.evaluate(model=model_uri, data=pd_dataset, predictions=None, model_type="classifier", extra_metrics=[f1_at_70_metric],
                        evaluator_config={"explainability_algorithm": "permutation"})
mlflow.end_run()

2024/06/05 16:45:02 WARNING mlflow.sklearn: Failed to log evaluation dataset information to MLflow Tracking. Reason: BAD_REQUEST: Response: {'Error': {'Code': 'UserError', 'Severity': None, 'Message': 'Cannot log the same dataset with different context', 'MessageFormat': None, 'MessageParameters': None, 'ReferenceCode': None, 'DetailsUri': None, 'Target': None, 'Details': [], 'InnerError': None, 'DebugInfo': None, 'AdditionalInfo': None}, 'Correlation': {'operation': 'e2aad112dfa9d4f79f01763ef0d7cc6f', 'request': '0a3dfd718ff25b82'}, 'Environment': 'eastus2', 'Location': 'eastus2', 'Time': '2024-06-05T16:45:02.6673091+00:00', 'ComponentName': 'mlflow', 'statusCode': 400, 'error_code': 'BAD_REQUEST'}
/anaconda/envs/azureml_py310_sdkv2/lib/python3.10/site-packages/mlflow/data/dataset_source_registry.py:150: UserWarning: Failed to determine whether UCVolumeDatasetSource can resolve source information for 'https://raw.githubusercontent.com/mlflow/mlflow/master/tests/datasets/winequality-white.csv'. Exception: 
  return _dataset_source_registry.resolve(
Downloading artifacts: 100%|██████████| 9/9 [00:00<00:00, 14.13it/s]  
/anaconda/envs/azureml_py310_sdkv2/lib/python3.10/site-packages/mlflow/types/utils.py:394: UserWarning: Hint: Inferred schema contains integer column(s). Integer columns in Python cannot represent missing values. If your input data contains missing values at inference time, it will be encoded as floats and will cause a schema enforcement error. The best way to avoid this problem is to infer the model schema based on a realistic data sample (training dataset) that includes missing values. Alternatively, you can declare integer columns as doubles (float64) whenever these columns may have missing values. See `Handling Integers With Missing Values <https://www.mlflow.org/docs/latest/models.html#handling-integers-with-missing-values>`_ for more details.
  warnings.warn(
2024/06/05 16:45:04 INFO mlflow.models.evaluation.default_evaluator: Computing model predictions.
2024/06/05 16:45:04 INFO mlflow.models.evaluation.default_evaluator: The evaluation dataset is inferred as binary dataset, positive label is 1, negative label is 0.
2024/06/05 16:45:04 INFO mlflow.models.evaluation.default_evaluator: Testing metrics on first row...
/anaconda/envs/azureml_py310_sdkv2/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, msg_start, len(result))
/anaconda/envs/azureml_py310_sdkv2/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, msg_start, len(result))
/anaconda/envs/azureml_py310_sdkv2/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, msg_start, len(result))
/anaconda/envs/azureml_py310_sdkv2/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, msg_start, len(result))
/anaconda/envs/azureml_py310_sdkv2/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, msg_start, len(result))
/anaconda/envs/azureml_py310_sdkv2/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, msg_start, len(result))
/anaconda/envs/azureml_py310_sdkv2/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, msg_start, len(result))
/anaconda/envs/azureml_py310_sdkv2/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, msg_start, len(result))
/anaconda/envs/azureml_py310_sdkv2/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, msg_start, len(result))
2024/06/05 16:45:07 INFO mlflow.models.evaluation.default_evaluator: Shap explainer PermutationExplainer is used.
PermutationExplainer explainer: 2001it [12:06,  2.73it/s]                          
/anaconda/envs/azureml_py310_sdkv2/lib/python3.10/site-packages/mlflow/shap/__init__.py:437: UserWarning: Unable to serialize underlying model using MLflow, will use SHAP serialization
  warnings.warn(

#https://learn.microsoft.com/en-us/azure/machine-learning/concept-mlflow?view=azureml-api-2#training-with-mlflow-projects-preview

# https://stackoverflow.com/questions/74656559/how-to-get-model-from-mlflow-from-run-id/78582321#78582321

# read data
dataset_source_url = "https://raw.githubusercontent.com/mlflow/mlflow/master/tests/datasets/winequality-white.csv"
df = pd.read_csv(dataset_source_url, delimiter=";")
dataset: mlflow.data.from_pandas(df, source=dataset_source_url, name="wine-quality-white-3")

# split data
y = df["quality"]
X = df.drop("quality", axis=1)

X = X[(y==6) | (y==5)]
y = y[(y==6) | (y==5)]
y[y==6]=1
y[y==5]=0

X_train, X_test, y_train, y_test = train_test_split(
    X, y, test_size=0.33, random_state=17
)

# hp
n_estimators_values = [25, 50, 100, 200]

#mlflow.end_run()
mlflow.set_experiment("shap-2")

# enable autologging
mlflow.autolog()

for idx, n_estimators in enumerate (n_estimators_values):
    current_run = mlflow.start_run(run_name=f"run_{idx}")
    
    mlflow.log_input(dataset, context="training")
    
    # train model
    model = RandomForestClassifier (n_estimators=n_estimators)
    model.fit (X_train, y_train)

    # --------------------------------------
    # evaluate
    #y_hat = model.predict(X_test)
    y_hat = model.predict_proba(X_test)[:, 1]
    precision, recall, thresholds = precision_recall_curve (y_test, y_hat)
    thresholds = np.append (thresholds, values=1.0)
    threshold=thresholds[precision>0.7].min()
    y_hat = (y_hat>threshold).astype (int)

    # Create the PandasDataset for use in mlflow evaluate   
    pd_dataset = mlflow.data.from_pandas(
        X.assign(label=y), 
        #predictions="predictions", 
        targets="label", 
        source=dataset_source_url, 
        name="wine-quality-white-12", 
    )
    
    model_uri = f"runs:/{current_run.info.run_id}/model"
    result = mlflow.evaluate(model=model_uri, data=pd_dataset, predictions=None, model_type="classifier",
                             evaluator_config={"explainability_algorithm": "permutation"})
    # -------------------------------------


    mlflow.end_run()

Caveats:

- Use same dataset as the original one, including both training and test sets??
- Do include the column for labels
- But do not include the one for predictions.
- While the evaluate model succeeds, it doesn't actually run SHAP well if we use the default Explainer:

    Reason: ExplainerError('Additivity check failed in TreeExplainer! Please ensure the data matrix you passed to the explainer is the same shape that the model was trained on. If your data shape is correct then please report this on GitHub. This check failed because for one of the samples the sum of the SHAP values was 0.160800, while the model output was 0.080000. If this difference is acceptable you can set check_additivity=False to disable this check.'). Set logging level to DEBUG to see the full traceback.
<Figure size 1050x700 with 0 Axes>

- One solution to the above is to use a different type of Explainer. I used that solution above, based on `permutation`, since `kernel` is too slow. We can either sample or use a different kernel.

- Logging the input with context training doesn't prevent the autolog from logging an additional input with path `dummy`...

It seems we can either use check_additivity = False:

https://github.com/shap/shap/issues/2777

Or use another type of Explainer, e.g., kernel-based

Try

• create_experiment followed by set_experiment

https://mlflow.org/docs/latest/tracking.html#tracking-runs

https://learn.microsoft.com/en-us/azure/machine-learning/how-to-log-view-metrics?view=azureml-api-2&tabs=interactive#log-images

https://www.databricks.com/notebooks/gallery/MLflowLoggingAPIPythonQuickstart.html

Next steps

• https://mlflow.org/docs/latest/traditional-ml/hyperparameter-tuning-with-child-runs/index.html
• https://mlflow.org/docs/latest/tracking/tutorials/local-database.html#:~:text=In%20this%20tutorial%2C%20you%20will,of%20a%20simple%20access%20interface.m

Links

• My own answer in Stack Overflow:

https://stackoverflow.com/a/78582321/19850415