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Changes for compatiblity with changes in likelihood

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This commit is contained in:
Ricardo 2014-03-17 10:30:18 +00:00
parent 8d98652e8b
commit bb6f937881
1 changed files with 4 additions and 2 deletions
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6
GPy/likelihoods/gaussian.py
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@ -56,7 +56,7 @@ class Gaussian(Likelihood):
def update_gradients(self, grad): def update_gradients(self, grad):
self.variance.gradient = grad self.variance.gradient = grad
def exact_inference_gradients(self, dL_dKdiag): def exact_inference_gradients(self, dL_dKdiag,Y_metadata=None):
return dL_dKdiag.sum() return dL_dKdiag.sum()
def _preprocess_values(self, Y): def _preprocess_values(self, Y):
@ -295,7 +295,7 @@ class Gaussian(Likelihood):
""" """
return self.variance return self.variance
def samples(self, gp): def samples(self, gp, Y_metadata=None):
""" """
Returns a set of samples of observations based on a given value of the latent variable. Returns a set of samples of observations based on a given value of the latent variable.
@ -303,6 +303,8 @@ class Gaussian(Likelihood):
""" """
orig_shape = gp.shape orig_shape = gp.shape
gp = gp.flatten() gp = gp.flatten()
#orig_shape = gp.shape
gp = gp.flatten()
Ysim = np.array([np.random.normal(self.gp_link.transf(gpj), scale=np.sqrt(self.variance), size=1) for gpj in gp]) Ysim = np.array([np.random.normal(self.gp_link.transf(gpj), scale=np.sqrt(self.variance), size=1) for gpj in gp])
return Ysim.reshape(orig_shape) return Ysim.reshape(orig_shape)