optbinning_tutorial_4_creating_scorecard.py

# Define scaling method and values
scaling_method = "min_max"
scaling_method_data = {"min": 0, "max": 1000}

# Instatiate and fit Scorecard
scorecard = Scorecard(
    target='TARGET',
    binning_process=binning_process,
    estimator=logreg,
    scaling_method=scaling_method,
    scaling_method_params=scaling_method_data,
    intercept_based=False,
    reverse_scorecard=True,
)

scorecard.fit(df_application_train)