optbinning_tutorial_2_binning_process.py

# Define the feature list from dataset (including categorical and numerical)
list_features = df_application_train.drop(columns=['TARGET']).columns.values

# Define categorical features list
list_categorical = df_application_train.select_dtypes(include=['object', 'category']).columns.values

# Define selection criteria for BinningProcess
selection_criteria = {"iv": {"min": 0.005, 'max':0.5, "strategy": "highest"}}

# Instatiate BinningProcess
binning_process = BinningProcess(
    categorical_variables=list_categorical,
    variable_names=list_features,
    selection_criteria=selection_criteria,
)