(self, Xnew)
return self.output_transform.build_backward(f), self.output_transform.build_backward_variance(var)
Compute the mean and variance of held-out data at the points Xnew
Compute the mean and variance of held-out data at the points Xnew
Compute the mean and variance of held - out data at the points Xnew
def predict_y(self, Xnew):
        """
        Compute the mean and variance of held-out data at the points Xnew
        """
        f, var = self.wrapped.build_predict(self.input_transform.build_forward(Xnew))
        f, var = self.likelihood.predict_mean_and_var(f, var)
        return self.output_transform.build_backward(f), self.output_transform.build_backward_variance(var)
def predict_y ( self , Xnew ) : f , var = self . wrapped . build_predict ( self . input_transform . build_forward ( Xnew ) ) f , var = self . likelihood . predict_mean_and_var ( f , var ) return self . output_transform . build_backward ( f ) , self . output_transform . build_backward_variance ( var )