1c9ed4232fcd99f35ab3fef1cf579ba1f6f12645,test/examples/simple_gp_classification_test.py,GPClassificationModel,forward,#GPClassificationModel#Any#,28

Before Change

        self.register_parameter("log_outputscale", nn.Parameter(torch.Tensor([0])), bounds=(-5, 6))

    def forward(self, x):
        mean_x = self.mean_module(x)
        covar_x = self.covar_module(x)
        covar_x = covar_x.mul(self.log_outputscale.exp().expand_as(covar_x))
        latent_pred = GaussianRandomVariable(mean_x, covar_x)
        return latent_pred


def test_kissgp_classification_error():
    train_x, train_y = train_data()

After Change

        self.latent_function = LatentFunction(train_x)

    def forward(self, x):
        return self.latent_function(x)


def test_kissgp_classification_error():
    train_x, train_y = train_data()

Instances