skmultiflow.core.base.BaseEstimator

class skmultiflow.core.base.BaseEstimator[source]

Base Estimator class for compatibility with 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).

  • Taken from sklearn for compatibility.

__init__()

Initialize self. See help(type(self)) for accurate signature.

Methods

__init__

Initialize self.

get_params([deep])

Get parameters for this estimator.

set_params(**params)

Set the parameters of this estimator.

get_params(deep=True)[source]

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 – Parameter names mapped to their values.

Return type

mapping of string to any

set_params(**params)[source]

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

Return type

self