3b7a3e628b0dea98f0dcaad6d91b22c7c137d04d,bambi/models.py,Model,add,#Model#Any#Any#Any#Any#Any#Any#Any#,266

Before Change

                    // identify and flag intercept and cell-means terms (i.e.,
                    // full-rank dummy codes), which receive special priors
                    constant = np.atleast_2d(pred_df.T).T.sum(1).var() == 0

                    for col, ind in pred_df.design_info.column_name_indexes.items():
                        lev_data = grpr_df.multiply(pred_df.iloc[:, ind],
                                                    axis=0)

After Change

                        else:
                            cat = False

                        pred_data = pred_data[:, None]  // Must be 2D later
                        term = RandomTerm(self, label, lev_data, pred_data,
                                          grpr_df.values, categorical=cat)
                        self.terms[label] = term

Instances