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Test file.
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1 changed files with 5 additions and 6 deletions
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@ -26,15 +26,14 @@ likelihood = GPy.inference.likelihoods.probit(data['Y'][:, 0:1])
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m = GPy.models.GP(data['X'],likelihood=likelihood)
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m = GPy.models.GP(data['X'],likelihood=likelihood)
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#m = GPy.models.GP(data['X'],likelihood.Y)
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#m = GPy.models.GP(data['X'],likelihood.Y)
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m.ensure_default_constraints()
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m.ensure_default_constraints()
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# Optimize and plot
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if not isinstance(m.likelihood,GPy.inference.likelihoods.gaussian):
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if not isinstance(m.likelihood,GPy.inference.likelihoods.gaussian):
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m.approximate_likelihood()
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m.approximate_likelihood()
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print m.checkgrad()
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#m.optimize()
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# Optimize and plot
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m.optimize()
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#m.em(plot_all=False) # EM algorithm
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m.plot(samples=3)
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m.EM()
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m.EM()
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print m.log_likelihood()
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m.plot(samples=3)
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print(m)
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print(m)
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