fixes.py 文件源码

def score(self, X, y=None):
        """Returns the score on the given data, if the estimator has been refit.
        This uses the score defined by ``scoring`` where provided, and the
        ``best_estimator_.score`` method otherwise.

        Parameters
        ----------
        X : array-like or pandas DataFrame, shape = [n_samples, n_features]
            Input data, where n_samples is the number of samples and
            n_features is the number of features.

        y : array-like, shape = [n_samples] or [n_samples, n_output], optional
            Target relative to X for classification or regression;
            None for unsupervised learning.

        Returns
        -------
        score : float

        Notes
        -----
         * The long-standing behavior of this method changed in version 0.16.
         * It no longer uses the metric provided by ``estimator.score`` if the
           ``scoring`` parameter was set when fitting.
        """
        X = _validate_X(X)
        y = _validate_y(y)

        if not hasattr(self, 'scorer_') or self.scorer_ is None:
            raise ValueError("No score function explicitly defined, "
                             "and the estimator doesn't provide one %s"
                             % self.best_estimator_)

        # we've already fit, and we have a scorer
        if self.scoring is not None and hasattr(self.best_estimator_, 'score'):
            warnings.warn("The long-standing behavior to use the estimator's "
                          "score function in {0}.score has changed. The "
                          "scoring parameter is now used."
                          "".format(self.__class__.__name__),
                          UserWarning)
        return self.scorer_(self.best_estimator_, X, y)