transformers.py 文件源码

def transform(self, X):
        feature_range = self.feature_range

        X = check_array(X, copy=self.copy, ensure_2d=False, dtype=FLOAT_DTYPES)

        if X.ndim == 1:
            warnings.warn(DEPRECATION_MSG_1D, DeprecationWarning)

        if np.any(X > feature_range[1]) or np.any(X < feature_range[0]):
            warnings.warn(
                "You got data that are out of the range: {}"
                .format(feature_range)
            )

        X[X > feature_range[1]] = feature_range[1]
        X[X < feature_range[0]] = feature_range[0]

        return X