sklearn.utils.validation.has_fit_parameter¶

sklearn.utils.validation.has_fit_parameter(estimator, parameter)[source]¶

Checks whether the estimator’s fit method supports the given parameter.

Parameters

estimatorobject

An estimator to inspect.

parameterstr

The searched parameter.

Returns

is_parameter: bool

Whether the parameter was found to be a named parameter of the estimator’s fit method.

Examples

>>> from sklearn.svm import SVC
>>> has_fit_parameter(SVC(), "sample_weight")
True