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