(self, X=None)
return self._predict_based_on_type("score_samples", "score_samples", X)
Scores for each sample in X. There type of scores is based on the last operator in the pipeline.

        Parameters
        ----------
        X :
            Features.

        Returns
        -------
        result :
            Scores per sample.
Scores for each sample in X. There type of scores is based on the last operator in the pipeline.
Scores for each sample in X . There type of scores is based on the last operator in the pipeline .
def score_samples(self, X=None):
        """Scores for each sample in X. There type of scores is based on the last operator in the pipeline.

        Parameters
        ----------
        X :
            Features.

        Returns
        -------
        result :
            Scores per sample.
        """
        return self._predict_based_on_type("score_samples", "score_samples", X)
def score_samples ( self , X = None ) : return self . _predict_based_on_type ( "score_samples" , "score_samples" , X )