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passing **noise_args into predictive_values

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Ricardo 2013-11-07 17:34:41 +00:00
parent df43f59dbf
commit d2db4c6688
1 changed files with 2 additions and 2 deletions
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4
GPy/likelihoods/ep.py
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@ -49,10 +49,10 @@ class EP(likelihood):
self.VVT_factor = self.V self.VVT_factor = self.V
self.trYYT = 0. self.trYYT = 0.
def predictive_values(self,mu,var,full_cov): def predictive_values(self,mu,var,full_cov,**noise_args):
if full_cov: if full_cov:
raise NotImplementedError, "Cannot make correlated predictions with an EP likelihood" raise NotImplementedError, "Cannot make correlated predictions with an EP likelihood"
return self.noise_model.predictive_values(mu,var) return self.noise_model.predictive_values(mu,var,**noise_args)
def log_predictive_density(self, y_test, mu_star, var_star): def log_predictive_density(self, y_test, mu_star, var_star):
""" """