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working mean function examples

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James Hensman 2015-03-26 08:48:56 +00:00
parent 254157ce04
commit cf0e29b207
4 changed files with 51 additions and 4 deletions
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4
GPy/core/gp.py
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@ -82,7 +82,7 @@ class GP(Model):
assert isinstance(self.mean_function, Mapping)
assert mean_function.input_dim == self.input_dim
assert mean_function.output_dim == self.output_dim
self.add_parameter(mean_function)
self.link_parameter(mean_function)
#find a sensible inference method
@ -166,6 +166,8 @@ class GP(Model):
self.posterior, self._log_marginal_likelihood, self.grad_dict = self.inference_method.inference(self.kern, self.X, self.likelihood, self.Y_normalized, self.mean_function, self.Y_metadata)
self.likelihood.update_gradients(self.grad_dict['dL_dthetaL'])
self.kern.update_gradients_full(self.grad_dict['dL_dK'], self.X)
if self.mean_function is not None:
self.mean_function.update_gradients(self.grad_dict['dL_dm'], self.X)
def log_likelihood(self):
"""