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@ -80,7 +80,7 @@ class sparse_GP(GP):
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#The rather complex computations of psi2_beta_scaled
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if self.likelihood.is_heteroscedastic:
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assert self.likelihood.D == 1 #TODO: what is the likelihood is heterscedatic and there are multiple independent outputs?
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assert self.likelihood.D == 1 #TODO: what if the likelihood is heterscedatic and there are multiple independent outputs?
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if self.has_uncertain_inputs:
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self.psi2_beta_scaled = (self.psi2*(self.likelihood.precision.flatten().reshape(self.N,1,1)/sf2)).sum(0)
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else:
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