tabensemb.data.dataimputer.MissForestImputer#

class tabensemb.data.dataimputer.MissForestImputer(**kwargs)[source]#

Bases: AbstractSklearnImputer

MICE-Random forest implemented using sklearn.

Parameters:
**kwargs

Arguments for sklearn.ensemble.RandomForestRegressor

Methods

__init__(**kwargs)#

_defaults()

Defaults values for arguments defined in _cls_required_kwargs() and _required_kwargs()

_new_imputer()

Get a sklearn-style imputer that has fit_transform and transform methods that return np.ndarray.