get_feature_importance¶

hhpy.modelling.get_feature_importance(model: object, predictors: Union[Sequence[T_co], str], features_to_sum: Mapping[KT, VT_co] = None) → pandas.core.frame.DataFrame[source]¶

get feature importance of a decision tree like model in a sorted data frame

Parameters:	model – model object predictors – names of the predictors properly sorted features_to_sum – if you want to sum features please provide name mappings
Returns:	pandas DataFrame containing the feature importances