sklearn.base.BaseEstimator

class sklearn.base.BaseEstimator

Base class for all estimators in scikit-learn

Notes

All estimators should specify all the parameters that can be set at the class level in their __init__ as explicit keyword arguments (no *args or **kwargs).

Methods

get_params([deep])	Get parameters for this estimator.
set_params(\*\*params)	Set the parameters of this estimator.

__init__()

x.__init__(...) initializes x; see help(type(x)) for signature

get_params(deep=True)

Get parameters for this estimator.

Parameters:

deep : boolean, optional

If True, will return the parameters for this estimator and contained subobjects that are estimators.

Returns:

params : mapping of string to any

Parameter names mapped to their values.

set_params(**params)

Set the parameters of this estimator.

The method works on simple estimators as well as on nested objects (such as pipelines). The latter have parameters of the form <component>__<parameter> so that it’s possible to update each component of a nested object.

Returns:self :

Examples using sklearn.base.BaseEstimator

Feature Union with Heterogeneous Data Sources