Fix simple GP classification example
" mean_x = self.mean_module(x)\n",
" covar_x = self.covar_module(x)\n",
" # Scale covariance\n",
- " covar_x = covar_x.mul(self.log_outputscale.exp().expand_as(covar_x))\n",
+ " covar_x = covar_x.mul(self.log_outputscale.exp())\n",
" # Package prediction as GaussianRandomVariable\n",
" latent_pred = GaussianRandomVariable(mean_x, covar_x)\n",
" # Return predictions\n",
