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reduced the memory requirements of the sparse GP

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by a factor of M!
This commit is contained in:
James Hensman 2012-12-18 15:51:39 +00:00
parent e29dc1c9dd
commit cc3ccf1ddc
1 changed files with 1 additions and 1 deletions
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2
GPy/models/sparse_GP_regression.py
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@ -98,7 +98,7 @@ class sparse_GP_regression(GP_regression):
# Compute dL_dpsi # Compute dL_dpsi
self.dL_dpsi0 = - 0.5 * self.D * self.beta * np.ones(self.N) self.dL_dpsi0 = - 0.5 * self.D * self.beta * np.ones(self.N)
self.dL_dpsi1 = (self.LLambdai.T[:,:,None,None]*self.V*self.C[None,:,None,:]).sum(1).sum(-1) self.dL_dpsi1 = mdot(self.LLambdai.T,self.C,self.V.T)
self.dL_dpsi2 = - 0.5 * self.beta * (self.D*(self.LBL_inv - self.Kmmi) + self.G) self.dL_dpsi2 = - 0.5 * self.beta * (self.D*(self.LBL_inv - self.Kmmi) + self.G)
# Compute dL_dKmm # Compute dL_dKmm