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added the 2 pi term to the likelihood of the gp
Why the hell was this missing?
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@ -96,7 +96,7 @@ class GP(GPBase):
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model for a new variable Y* = v_tilde/tau_tilde, with a covariance
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matrix K* = K + diag(1./tau_tilde) plus a normalization term.
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"""
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return -0.5 * self.output_dim * self.K_logdet + self._model_fit_term() + self.likelihood.Z
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return - 0.5 * self.num_data * self.output_dim * np.log(2.*np.pi) - 0.5 * self.output_dim * self.K_logdet + self._model_fit_term() + self.likelihood.Z
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def _log_likelihood_gradients(self):
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