def marginal_ll(self, n_mc_samples=1000): ll = compute_marginal_log_likelihood(self.model, self, n_mc_samples) logger.debug("True LL : %.4f" % ll) return ll
def marginal_ll(self, verbose=False, n_mc_samples=1000): ll = compute_marginal_log_likelihood(self.model, self, n_mc_samples) if verbose: print("True LL : %.4f" % ll) return ll