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Sparse-GPLVM now seems to work beautifully with product kernels
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4 changed files with 27 additions and 5 deletions
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@ -104,7 +104,7 @@ class Matern52(kernpart):
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dK_dX = - np.transpose(self.variance*5./3*dist*(1+np.sqrt(5)*dist)*np.exp(-np.sqrt(5)*dist)*ddist_dX,(1,0,2))
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target += np.sum(dK_dX*partial.T[:,:,None],0)
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def dKdiag_dX(self,X,target):
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def dKdiag_dX(self,partial,X,target):
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pass
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def Gram_matrix(self,F,F1,F2,F3,lower,upper):
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