column_importance_sorter_dict#

column_importance_sorter_dict(cols_dict: Dict[Hashable, Any], dataset: Dataset, feature_importances: Optional[Series] = None, n_top: int = 10) Dict[source]#

Return the dict of columns sorted and limited by feature importance.

Parameters
cols_dictt.Dict[Hashable, t.Any]

dict where columns are the keys

datasettabular.Dataset

dataset used to fit the model

feature_importancest.Optional[pd.Series] , default: None

feature importance normalized to 0-1 indexed by feature names

n_topint , default: 10

amount of columns to show ordered by feature importance (date, index, label are first)

Returns
Dict

the dict of columns sorted and limited by feature importance.