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 former have parameters of the form <component>__<parameter> so that it’s possible to update each component of a nested object.
Returns: self :
