features

Utils module containing feature importance calculations.

Functions

calculate_feature_importance_or_none(model, ...)	Calculate features effect on the label or None if the input is incorrect.
column_importance_sorter_dict(cols_dict, dataset)	Return the dict of columns sorted and limited by feature importance.
column_importance_sorter_df(df, ds, ...[, ...])	Return the dataframe of columns sorted and limited by feature importance.
infer_categorical_features(df[, ...])	Infers which features are categorical by checking types and number of unique values.
infer_numerical_features(df)	Infers which features are numerical.
is_categorical(column[, ...])	Check if uniques are few enough to count as categorical.

previous

default_fill_na_per_column_type

next

calculate_feature_importance_or_none