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Added **likelihood_params to predictive_values
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@ -69,7 +69,7 @@ class Gaussian(likelihood):
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self.covariance_matrix = np.eye(self.N) * x
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self._variance = x
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def predictive_values(self, mu, var, full_cov):
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def predictive_values(self, mu, var, full_cov, **likelihood_args):
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"""
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Un-normalize the prediction and add the likelihood variance, then return the 5%, 95% interval
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"""
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