Note

This page is a reference documentation. It only explains the function signature, and not how to use it. Please refer to the What you really need to know section for the big picture.

julearn.utils.typing.EstimatorLikeFit1¶

class julearn.utils.typing.EstimatorLikeFit1(*args, **kwargs)¶

Class for estimator-like fit 1.

fit(X, y, **kwargs)¶

Fit estimator.

Parameters:

X (ndarray | DataFrame | Series) – The features to use.
y (Series) – The target to use.
**kwargs (Any) – Extra keyword arguments.

Returns:

The fitted estimator.

get_params(deep=True)¶

Get params.

Parameters:: deep (bool, default: True) – Whether to get in a deep fashion (default True).
Returns:: The parameters.

set_params(**params)¶

Set params.

Parameters:: **params (Any) – The parameters to set.
Returns:: Estimator with set parameters.