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