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[sparse gp] prediction without missing data and uncertain inputs was bugged
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@ -149,7 +149,7 @@ class SparseGP(GP):
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var_ = mdot(la.T, tmp, la)
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var_ = mdot(la.T, tmp, la)
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p0 = psi0_star[i]
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p0 = psi0_star[i]
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t = self.posterior.woodbury_inv
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t = np.atleast_3d(self.posterior.woodbury_inv)
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t2 = np.trace(t.T.dot(psi2_star), axis1=1, axis2=2)
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t2 = np.trace(t.T.dot(psi2_star), axis1=1, axis2=2)
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if full_cov:
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if full_cov:
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