forecastflowml.ForecastFlowML.get_feature_importance

ForecastFlowML.get_feature_importance(df_model=None)

The feature importances.

Parameters:

df_model (Optional[pyspark.sql.dataframe.DataFrame]) – pyspark DataFrame that contains the trained models. Only needs to be supplied if local_result is set to False during training.

Return type:

DataFrame that includes the feature importances.