e5a3f2208cc837f75ef312b4bd8b87ea59827bdc,gpytorch/models/abstract_variational_gp.py,AbstractVariationalGP,marginal_log_likelihood,#AbstractVariationalGP#Any#Any#Any#Any#,22

Before Change

        
        if n_data is None:
            n_data = len(target)
        n_batch = target.size(0)

        log_likelihood = likelihood.log_probability(output, target).div(n_batch)
        kl_divergence = sum(variational_strategy.kl_divergence()
                            for variational_strategy in self.variational_strategies()).div(n_data)

        res = log_likelihood - kl_divergence

After Change

    def marginal_log_likelihood(self, likelihood, output, target, n_data=None):
        from ..mlls import VariationalMarginalLogLikelihood
        if not hasattr(self, "_has_warned") or not self._has_warned:
            import warnings
            warnings.warn("model.marginal_log_likelihood is now deprecated. "
                          "Please use gpytorch.mll.VariationalMarginalLogLikelihood instead.")
            self._has_warned = True
        if n_data is None:
            n_data = target.size(-1)
        return VariationalMarginalLogLikelihood(likelihood, self, n_data)(output, target)

Instances