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slicing support for kernel input dimension

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Max Zwiessele 2014-03-07 16:59:41 +00:00
parent 5f3524e7da
commit db5fd17609
10 changed files with 178 additions and 65 deletions
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5
GPy/core/gp.py
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@ -48,7 +48,7 @@ class GP(Model):
self.Y_metadata = None
assert isinstance(kernel, kern.Kern)
assert self.input_dim == kernel.input_dim
#assert self.input_dim == kernel.input_dim
self.kern = kernel
assert isinstance(likelihood, likelihoods.Likelihood)
@ -68,8 +68,9 @@ class GP(Model):
def parameters_changed(self):
self.posterior, self._log_marginal_likelihood, grad_dict = self.inference_method.inference(self.kern, self.X, self.likelihood, self.Y, Y_metadata=self.Y_metadata)
self.likelihood.update_gradients(np.diag(grad_dict['dL_dK']))
self.kern.update_gradients_full(grad_dict['dL_dK'], self.X)
def log_likelihood(self):
return self._log_marginal_likelihood