4c7ebb6601d11bacd7a68db1c89c86dcca215077,GPy/models/gp_multioutput.py,GPMultioutput,__init__,#GPMultioutput#Any#Any#Any#Any#Any#Any#Any#,32

Before Change

        mkernel = kernel_list[0].prod(kern.coregionalise(len(X_list),W),tensor=True)
        for k in kernel_list[1:]:
            mkernel += k.prod(kern.coregionalise(len(X_list),W),tensor=True)
        self.multioutput = True
        GP.__init__(self, X, likelihood, mkernel, normalize_X=normalize_X)
        self.ensure_default_constraints()

After Change

        else:
            assert len(Y_list) == len(mixed_noise_list)
            for noise,Y in zip(mixed_noise_list,Y_list):
                self.likelihood_list.append(likelihoods.EP(Y,noise))
            likelihood = likelihoods.EP_Mixed_Noise(Y_list, mixed_noise_list)


        X = np.hstack([np.vstack(X_list),index])

Instances