c9dc31f349540d610f75bbd469f8421db9eb216c,gpytorch/likelihoods/bernoulli_likelihood.py,BernoulliLikelihood,forward,#BernoulliLikelihood#Any#,23

Before Change

            p(y|x) = \Phi(\frac{\mu}{\sqrt{1+\sigma^2_f}})
        
        if not isinstance(input, GaussianRandomVariable):
            raise RuntimeError(
                " ".join(["BernoulliLikelihood expects a Gaussian", "distributed latent function to make predictions"])
            )

        mean = input.mean()
        var = input.var()

After Change

            p(y|x) = \Phi(\frac{\mu}{\sqrt{1+\sigma^2_f}})
        
        if not isinstance(input, MultivariateNormal):
            raise RuntimeError(
                "BernoulliLikelihood expects a multi-variate normally distributed" "latent function to make predictions"
            )

        mean = input.mean
        var = input.variance
        link = mean.div(torch.sqrt(1 + var))

Instances