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epsilon and power_ep now are parameters of update_likelihood.

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Ricardo 2013-09-20 13:22:38 +01:00
parent c8fec98071
commit a51af5b8c4
5 changed files with 62 additions and 30 deletions
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4
GPy/core/gp.py
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@ -62,7 +62,7 @@ class GP(GPBase):
def _get_param_names(self):
return self.kern._get_param_names_transformed() + self.likelihood._get_param_names()
def update_likelihood_approximation(self):
def update_likelihood_approximation(self, **kwargs):
"""
Approximates a non-gaussian likelihood using Expectation Propagation
@ -70,7 +70,7 @@ class GP(GPBase):
this function does nothing
"""
self.likelihood.restart()
self.likelihood.fit_full(self.kern.K(self.X))
self.likelihood.fit_full(self.kern.K(self.X), **kwargs)
self._set_params(self._get_params()) # update the GP
def _model_fit_term(self):