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

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