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@ -197,7 +197,7 @@ class gaussian(likelihood):
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pb.plot(U,np.ones(U.shape[0])*self.Y.min()*.8,'r|',mew=1.5,markersize=12)
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pb.plot(U,np.ones(U.shape[0])*self.Y.min()*.8,'r|',mew=1.5,markersize=12)
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def predictive_mean(self,mu,Sigma):
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def predictive_mean(self,mu,Sigma):
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return mu #return stats.poisson.pmf(h)
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return mu
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def _log_likelihood_gradients():
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def _log_likelihood_gradients():
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raise NotImplementedError
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raise NotImplementedError
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