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just general tidying

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This commit is contained in:
James Hensman 2014-01-06 10:40:36 +00:00
parent 8cad49ce13
commit f669d0124b
2 changed files with 8 additions and 4 deletions
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10
GPy/likelihoods/gaussian.py
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@ -54,7 +54,7 @@ class Gaussian(Likelihood):
def _gradients(self, partial):
"""
Return the derivative of the log marginal likelihood wrt self.variance,
Return the derivative of the log marginal likelihood wrt self.variance,
given the appropriate partial derivative
"""
return np.sum(partial)
@ -82,9 +82,13 @@ class Gaussian(Likelihood):
def predictive_values(self, mu, var, full_cov=False):
if full_cov:
low, up = mu - np.diag(var)[:,None], mu + np.diag(var)[:,None]
var += np.eye(var.shape[0])*self.variance
d = 2*np.sqrt(np.diag(var))
low, up = mu - d, mu + d
else:
low, up = mu - var, mu + var
var += self.variance
d = 2*np.sqrt(var)
low, up = mu - d, mu + d
return mu, var, low, up
def predictive_mean(self, mu, sigma):