(self, data)
return transform_data
Transform input data using standard scale with fit results
        Parameters
        ----------
        data: data_instance, input data

        Returns
        ----------
        transform_data:data_instance, data after transform
Transform input data using standard scale with fit results
        Parameters
        ----------
        data: data_instance, input data
Transform input data using standard scale with fit results Parameters ---------- data : data_instance input data
def transform(self, data):
        """
        Transform input data using standard scale with fit results
        Parameters
        ----------
        data: data_instance, input data

        Returns
        ----------
        transform_data:data_instance, data after transform
        """
        f = functools.partial(self.__scale_with_column_range, column_upper=self.column_max_value,
                              column_lower=self.column_min_value,
                              mean=self.mean, std=self.std, process_cols_list=self.scale_column_idx)
        transform_data = data.mapValues(f)

        return transform_data
def transform ( self , data ) : f = functools . partial ( self . __scale_with_column_range , column_upper = self . column_max_value , column_lower = self . column_min_value , mean = self . mean , std = self . std , process_cols_list = self . scale_column_idx ) transform_data = data . mapValues ( f ) return transform_data