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
评论列表
文章目录