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bugfixin'

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This commit is contained in:
James Hensman 2013-02-19 14:48:30 +00:00
parent 7f1503da4a
commit 70e2076cd4
1 changed files with 4 additions and 2 deletions
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6
GPy/likelihoods/Gaussian.py
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@ -6,14 +6,15 @@ class Gaussian(likelihood):
self.is_heteroscedastic = False self.is_heteroscedastic = False
self.Nparams = 1 self.Nparams = 1
self.Z = 0. # a correction factor which accounts for the approximation made self.Z = 0. # a correction factor which accounts for the approximation made
N, self.D = data.shape
#normalisation #normalisation
if normalize: if normalize:
self._mean = data.mean(0)[None,:] self._mean = data.mean(0)[None,:]
self._std = data.std(0)[None,:] self._std = data.std(0)[None,:]
else: else:
self._mean = np.zeros((1,D)) self._mean = np.zeros((1,self.D))
self._std = np.ones((1,D)) self._std = np.ones((1,self.D))
self.set_data(data) self.set_data(data)
@ -22,6 +23,7 @@ class Gaussian(likelihood):
def set_data(self,data): def set_data(self,data):
self.data = data self.data = data
self.N,D = data.shape self.N,D = data.shape
assert D == self.D
self.Y = (self.data - self._mean)/self._std self.Y = (self.data - self._mean)/self._std
if D > self.N: if D > self.N:
self.YYT = np.dot(self.Y,self.Y.T) self.YYT = np.dot(self.Y,self.Y.T)