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class sklearn.base.BaseEstimator
[source] -
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__()
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x.__init__(...) initializes x; see help(type(x)) for signature
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get_params(deep=True)
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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.
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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: self :
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base.BaseEstimator
Examples using
2017-01-15 04:20:31
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