sklearn.utils.validation
.has_fit_parameter¶
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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