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[plotting] library is unfolding and should be working tonight
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13 changed files with 648 additions and 263 deletions
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@ -242,7 +242,7 @@ class GP(Model):
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return mu, var
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def predict(self, Xnew, full_cov=False, Y_metadata=None, kern=None):
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def predict(self, Xnew, full_cov=False, Y_metadata=None, kern=None, likelihood=None):
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"""
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Predict the function(s) at the new point(s) Xnew.
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@ -269,7 +269,9 @@ class GP(Model):
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mu, var = self.normalizer.inverse_mean(mu), self.normalizer.inverse_variance(var)
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# now push through likelihood
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mean, var = self.likelihood.predictive_values(mu, var, full_cov, Y_metadata=Y_metadata)
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if likelihood is None:
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likelihood = self.likelihood
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mean, var = likelihood.predictive_values(mu, var, full_cov, Y_metadata=Y_metadata)
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return mean, var
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def predict_quantiles(self, X, quantiles=(2.5, 97.5), Y_metadata=None, kern=None, likelihood=None):
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