5bb62768d064583aef9efaf5b0838878e11f71e3,bambi/models.py,RandomTerm,_setup,#RandomTerm#,260

Before Change

            self.prior = deepcopy(default_priors["random"])

            // Rescale prior sd--need to implement better heuristic
            mean_range = self.data.mean(0).max() - self.data.mean(0).min()
            scl = max(mean_range, 1)
            self.prior["sigma"]["args"]["beta"] *= (scl * 2 * self.model.y.data.std())

After Change

            // nested terms are in dicts, so put non-nested terms in dummy dict
            max_range = 0.
            if not isinstance(data, dict):
                data = {"dummy": data}
            for level in data.values():
                lev_range = level.mean(0).max() - level.mean(0).min()
                if lev_range > max_range:
                    max_range = lev_range

Instances