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:

estimator : object

An estimator to inspect.

parameter: str :

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