Note
This page is a reference documentation. It only explains the class 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.JuEstimatorLike#
- class julearn.utils.typing.JuEstimatorLike(*args, **kwargs)#
Class for juestimator-like.
- __init__(*args, **kwargs)#
- get_needed_types()#
Get the column types needed by the estimator.
- Returns:
- ColumnTypes
The column types needed by the estimator.
- get_apply_to()#
Get the column types the estimator applies to.
- Returns:
- ColumnTypes
The column types the estimator applies to.
- fit(X, y, **kwargs)#
Fit estimator.
- Parameters:
- XDataLike
The features to use.
- ypd.Series
The target to use.
- **kwargsdict
Extra keyword arguments.
- Returns:
- EstimatorLikeFit1
The fitted estimator.
- get_params(deep=True)#
Get params.
- Parameters:
- deepbool, optional
Whether to get in a deep fashion (default True).
- Returns:
- dict
The parameters.
- set_params(**params)#
Set params.
- Parameters:
- **paramsdict
The parameters to set.
- Returns:
- EstimatorLikeFit1
Estimator with set parameters.