da3630c4eccc04079e465256786f65d6d87e7b1f,pdpipe/sklearn_stages.py,Scale,_fit_transform,#Scale#Any#Any#,220

Before Change

                    apply_to.columns
                )
            )
        if cols_to_exclude:
            res = pd.concat([res, excluded], axis=1)
            res = res[self._col_order]
        self.is_fitted = True
        return res

    def _transform(self, df, verbose):

After Change

        raise NotImplementedError

    def _fit_transform(self, df, verbose):
        self._columns_to_scale = self._get_columns(df, fit=True)
        unscaled_cols = [
            x for x in df.columns
            if x not in self._columns_to_scale
        ]
        col_order = list(df.columns)
        inter_df = df[self._columns_to_scale]
        self._scaler = scaler_by_params(self.scaler, **self._kwargs)
        try:
            inter_df = pd.DataFrame(
                data=self._scaler.fit_transform(inter_df.values),

Instances