0780f7ce1d347c7f20591865451aa5583d5dfcb6,src/crosscat.py,CrosscatMetamodel,predict_confidence,#CrosscatMetamodel#Any#Any#Any#Any#Any#Any#,776

Before Change

            raise BQLError(bdb, "More than one such row"
                " in table %s for generator %s: %d" %
                (repr(table_name), repr(generator), repr(rowid)))
        row_id = crosscat_row_id(rowid)
        cc_colno = crosscat_cc_colno(bdb, generator_id, colno)
        code, confidence = self._crosscat.impute_and_confidence(
            M_c=M_c,
            X_L=self._crosscat_latent_state(bdb, generator_id, modelno),

After Change

            raise BQLError(bdb, "More than one such row"
                " in table %s for generator %s: %d" %
                (repr(table_name), repr(generator), repr(rowid)))
        X_L_list = self._crosscat_latent_state(bdb, generator_id, modelno)
        X_D_list = self._crosscat_latent_data(bdb, generator_id, modelno)
        row_id, X_L_list, X_D_list = \
            self._crosscat_get_row(bdb, generator_id, rowid, X_L_list,
                X_D_list)
        cc_colno = crosscat_cc_colno(bdb, generator_id, colno)
        code, confidence = self._crosscat.impute_and_confidence(
            M_c=M_c,
            X_L=X_L_list,

Instances