da3630c4eccc04079e465256786f65d6d87e7b1f,pdpipe/col_generation.py,Log,__init__,#Log#Any#Any#Any#Any#Any#,844

Before Change

        if columns is None:
            self._columns = None
        else:
            self._columns = _interpret_columns_param(columns)
        if exclude is None:
            self._exclude = []
        else:
            self._exclude = _interpret_columns_param(exclude)
        self._drop = drop
        self._non_neg = non_neg
        self._const_shift = const_shift
        self._col_to_minval = {}

After Change

        self._non_neg = non_neg
        self._const_shift = const_shift
        self._col_to_minval = {}
        super_kwargs = {
            "columns": columns,
            "exclude_columns": exclude_columns,
            "desc_temp": "Log-transform {}",
        }
        super_kwargs.update(**kwargs)
        super_kwargs["none_columns"] = OfDtypes([np.number])
        super().__init__(**super_kwargs)

    def _transformation(self, df, verbose, fit):
        raise NotImplementedError

Instances