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lots of fixes, including prediction being mean and variance only

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This commit is contained in:
James Hensman 2014-03-13 14:42:03 +00:00
parent 365b8ae1e1
commit cc96f5b3d5
13 changed files with 118 additions and 128 deletions
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8
GPy/core/gp.py
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@ -120,8 +120,12 @@ class GP(Model):
mu, var = self._raw_predict(Xnew, full_cov=full_cov)
# now push through likelihood
mean, var, _025pm, _975pm = self.likelihood.predictive_values(mu, var, full_cov, Y_metadata)
return mean, var, _025pm, _975pm
mean, var = self.likelihood.predictive_values(mu, var, full_cov, Y_metadata)
return mean, var
def predict_quantiles(self, X, quantiles=(0.025, 0.975), Y_metadata=None):
m, v = self._raw_predict(X, full_cov=False)
return self.likelihood.predictive_quantiles(m, v, quantiles, Y_metadata)
def posterior_samples_f(self,X,size=10, full_cov=True):
"""