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not calling self.parameters_changed explicitly anymore -> not needed

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Max Zwiessele 2014-01-31 17:01:50 +00:00
parent e0dbfbe148
commit 1b49f7ab30
2 changed files with 1 additions and 4 deletions
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2
GPy/core/gp.py
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@ -56,7 +56,7 @@ class GP(Model):
self.add_parameter(self.kern) self.add_parameter(self.kern)
self.add_parameter(self.likelihood) self.add_parameter(self.likelihood)
self.parameters_changed() #self.parameters_changed()
def parameters_changed(self): def parameters_changed(self):
self.posterior, self._log_marginal_likelihood, grad_dict = self.inference_method.inference(self.kern, self.X, self.likelihood, self.Y) self.posterior, self._log_marginal_likelihood, grad_dict = self.inference_method.inference(self.kern, self.X, self.likelihood, self.Y)

3
GPy/core/sparse_gp.py
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@ -51,11 +51,8 @@ class SparseGP(GP):
self.X_variance = X_variance self.X_variance = X_variance
GP.__init__(self, X, Y, kernel, likelihood, inference_method=inference_method, name=name) GP.__init__(self, X, Y, kernel, likelihood, inference_method=inference_method, name=name)
self.Z = Param('inducing inputs', self.Z) self.Z = Param('inducing inputs', self.Z)
self.add_parameter(self.Z, index=0) self.add_parameter(self.Z, index=0)
self.add_parameter(self.kern)
self.add_parameter(self.likelihood)
def parameters_changed(self): def parameters_changed(self):
self.posterior, self._log_marginal_likelihood, self.grad_dict = self.inference_method.inference(self.kern, self.X, self.X_variance, self.Z, self.likelihood, self.Y) self.posterior, self._log_marginal_likelihood, self.grad_dict = self.inference_method.inference(self.kern, self.X, self.X_variance, self.Z, self.likelihood, self.Y)