4cc5d634242601d48a98f7bae1dcc47dcfc589eb,gpytorch/likelihoods/bernoulli_likelihood.py,BernoulliLikelihood,variational_log_probability,#BernoulliLikelihood#Any#Any#,37

Before Change

        return Bernoulli(probs=output_probs)

    def variational_log_probability(self, latent_func, target):
        num_samples = settings.num_likelihood_samples.value()
        samples = latent_func.rsample(torch.Size([num_samples])).view(-1)
        target = target.unsqueeze(0).repeat(num_samples, 1).view(-1)
        return log_normal_cdf(samples.mul(target)).sum().div(num_samples)

    def pyro_sample_y(self, variational_dist_f, y_obs, sample_shape, name_prefix=""):
        import pyro

After Change

    def variational_log_probability(self, latent_func, target):
        likelihood_func = lambda locs: log_normal_cdf(locs.mul(target.unsqueeze(-1)))
        res = self.quadrature(likelihood_func, latent_func)
        return res.sum()

    def pyro_sample_y(self, variational_dist_f, y_obs, sample_shape, name_prefix=""):
        import pyro

Instances