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Merge pull request #800 from sighellan/devel

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Minor fix to multioutput regression example, to clarify code + typo.
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Zhenwen Dai 2020-03-09 12:15:41 +00:00 • committed by GitHub
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GPy/examples/regression.py
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@ -620,8 +620,10 @@ def multioutput_gp_with_derivative_observations():
# Then create the model, we give everything in lists, the order of the inputs indicates the order of the outputs
# Now we have the regular observations first and derivative observations second, meaning that the kernels and
# the likelihoods must follow the same order. Crosscovariances are automatically taken car of
m = GPy.models.MultioutputGP(X_list=[x, xd], Y_list=[y, yd], kernel_list=[se, se_der], likelihood_list = [gauss, gauss])
# the likelihoods must follow the same order. Crosscovariances are automatically taken care of
m = GPy.models.MultioutputGP(X_list=[x, xd], Y_list=[y, yd],
kernel_list=[se, se_der],
likelihood_list=[gauss, gauss_der])
# Optimize the model
m.optimize(messages=0, ipython_notebook=False)