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added a set_data method to the Gaussian likelihood

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James Hensman 2013-02-19 14:44:39 +00:00
parent 634c3597ea
commit 73f7b72708
1 changed files with 8 additions and 7 deletions
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15
GPy/likelihoods/Gaussian.py
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@ -5,20 +5,24 @@ class Gaussian(likelihood):
def __init__(self,data,variance=1.,normalize=False): def __init__(self,data,variance=1.,normalize=False):
self.is_heteroscedastic = False self.is_heteroscedastic = False
self.Nparams = 1 self.Nparams = 1
self.data = data
self.N,D = data.shape
self.Z = 0. # a correction factor which accounts for the approximation made self.Z = 0. # a correction factor which accounts for the approximation made
#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,:]
self.Y = (self.data - self._mean)/self._std
else: else:
self._mean = np.zeros((1,D)) self._mean = np.zeros((1,D))
self._std = np.ones((1,D)) self._std = np.ones((1,D))
self.Y = self.data
self.set_data(data)
self._set_params(np.asarray(variance))
def set_data(self,data):
self.data = data
self.N,D = data.shape
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)
self.trYYT = np.trace(self.YYT) self.trYYT = np.trace(self.YYT)
@ -26,9 +30,6 @@ class Gaussian(likelihood):
self.YYT = None self.YYT = None
self.trYYT = None self.trYYT = None
self._set_params(np.asarray(variance))
def _get_params(self): def _get_params(self):
return np.asarray(self._variance) return np.asarray(self._variance)