#NEWLINE# def inverse_transform( self , X ) : #NEWLINE# #INDENT# 'Undo the scaling of X according to feature_range.\n\n        Parameters\n        ----------\n        X : array-like, shape [n_samples, n_features]\n            Input data that will be transformed. It cannot be sparse.\n        ' #NEWLINE# check_is_fitted ( X , 'scale_' ) #NEWLINE# X = check_array ( X , copy = self . copy , ensure_2d = False , dtype = FLOAT_DTYPES ) #NEWLINE# if ( X . ndim == 1 ) : #NEWLINE# #INDENT# warnings . warn ( DEPRECATION_MSG_1D , DeprecationWarning ) #NEWLINE# #UNINDENT# X -= self . min_ #NEWLINE# X /= self . scale_ #NEWLINE# return X