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[basis funcs] memory efficient posterior inference
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2 changed files with 4 additions and 2 deletions
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@ -132,7 +132,9 @@ class SparseGP(GP):
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if self.posterior.woodbury_inv.ndim == 2:
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var = Kxx - np.dot(Kx.T, np.dot(self.posterior.woodbury_inv, Kx))
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elif self.posterior.woodbury_inv.ndim == 3:
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var = Kxx[:,:,None] - np.tensordot(np.dot(np.atleast_3d(self.posterior.woodbury_inv).T, Kx).T, Kx, [1,0]).swapaxes(1,2)
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var = np.empty((Kxx.shape[0],Kxx.shape[1],self.posterior.woodbury_inv.shape[2]))
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for i in range(var.shape[1]):
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var[:, :, i] = (Kxx - mdot(Kx.T, self.posterior.woodbury_inv[:, :, i], Kx))
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var = var
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else:
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Kxx = kern.Kdiag(Xnew)
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