2b48b9433d7ec5b93ceb2d97004e74b3981f9990,pymc3/variational/approximations.py,FullRank,create_shared_params,#FullRank#,163

Before Change

        return tril_index_matrix

    def create_shared_params(self, **kwargs):
        start = self.gbij.map(kwargs.get("start", self.model.test_point))
        n = self.global_size
        L_tril = (
            np.eye(n)

After Change

        if start is None:
            start = self.model.test_point
        else:
            start_ = self.model.test_point.copy()
            pm.sampling._update_start_vals(start_, start, self.model)
            start = start_
        start = self.gbij.map(start)
        n = self.global_size
        L_tril = (
            np.eye(n)

Instances