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beginning of work to make sparse GP ork with RA's EP methods

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James Hensman 2013-02-01 13:55:19 +00:00
parent 346f9dd8bd
commit c025e8b68b
2 changed files with 12 additions and 5 deletions
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GPy/likelihoods/EP.py
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@ -31,7 +31,7 @@ class EP(likelihood):
self.Z = np.sum(np.log(self.Z_hat)) + 0.5*np.sum(np.log(sigma_sum)) + 0.5*np.sum(mu_diff_2/sigma_sum) #Normalization constant, aka Z_ep
self.Y = mu_tilde[:,None]
self.precsion = self.tau_tilde
self.precision = self.tau_tilde[:,None]
self.covariance_matrix = np.diag(1./self.precision)
def fit_full(self,K):