8971f18e58080a109abd54e2379a1686f4b661f6,category_encoders/backward_difference.py,BackwardDifferenceEncoder,fit,#BackwardDifferenceEncoder#Any#Any#,97

Before Change

        mappings_out = []
        for switch in ordinal_mapping:
            values = switch.get("mapping").get_values()
            column_mapping = self.fit_backward_difference_coding(values)
            mappings_out.append({"col": switch.get("col"), "mapping": column_mapping, })

        self.mapping = mappings_out

After Change

        // if columns aren"t passed, just use every string column
        if self.cols is None:
            self.cols = util.get_obj_cols(X)
        else:
            self.cols = util.convert_cols_to_list(self.cols)

        if self.handle_missing == "error":
            if X[self.cols].isnull().any().bool():
                raise ValueError("Columns to be encoded can not contain null")

        // train an ordinal pre-encoder
        self.ordinal_encoder = OrdinalEncoder(
            verbose=self.verbose,
            cols=self.cols,
            handle_unknown="value",
            handle_missing="value"
        )
        self.ordinal_encoder = self.ordinal_encoder.fit(X)

        ordinal_mapping = self.ordinal_encoder.category_mapping

        mappings_out = []
        for switch in ordinal_mapping:
            values = switch.get("mapping")
            column_mapping = self.fit_backward_difference_coding(values, self.handle_missing, self.handle_unknown)
            mappings_out.append({"col": switch.get("col"), "mapping": column_mapping, })

        self.mapping = mappings_out

Instances