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proper propagation of variance through the Gaussian likelihood

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James Hensman 2013-02-04 12:18:14 +00:00
parent 049e60f16b
commit 9b69b04933
1 changed files with 2 additions and 2 deletions
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GPy/likelihoods/Gaussian.py
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@ -42,8 +42,8 @@ class Gaussian(likelihood):
""" """
mean = mu*self._std + self._mean mean = mu*self._std + self._mean
true_var = (var + self._variance)*self._std**2 true_var = (var + self._variance)*self._std**2
_5pc = mean + - 2.*np.sqrt(var) _5pc = mean + - 2.*np.sqrt(true_var)
_95pc = mean + 2.*np.sqrt(var) _95pc = mean + 2.*np.sqrt(true_var)
return mean, _5pc, _95pc return mean, _5pc, _95pc
def fit_full(self): def fit_full(self):