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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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2
GPy/core/gp_base.py
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@ -190,7 +190,7 @@ class GPBase(Model):
upper = m + 2*np.sqrt(v) upper = m + 2*np.sqrt(v)
Y = self.Y Y = self.Y
else: else:
m, v, lower, upper = self.predict(Xgrid, which_parts=which_parts) #Compute the exact mean m, v, lower, upper = self.predict(Xgrid, which_parts=which_parts)
Y = self.Y Y = self.Y
for d in which_data_ycols: for d in which_data_ycols:
gpplot(Xnew, m[:, d], lower[:, d], upper[:, d], axes=ax, edgecol=linecol, fillcol=fillcol) gpplot(Xnew, m[:, d], lower[:, d], upper[:, d], axes=ax, edgecol=linecol, fillcol=fillcol)

8
GPy/likelihoods/gaussian.py
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@ -82,9 +82,13 @@ class Gaussian(Likelihood):
def predictive_values(self, mu, var, full_cov=False): def predictive_values(self, mu, var, full_cov=False):
if full_cov: 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: 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 return mu, var, low, up
def predictive_mean(self, mu, sigma): def predictive_mean(self, mu, sigma):