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gradient check and debug options

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Max Zwiessele 2014-03-12 12:06:21 +00:00
parent 2200c5c30b
commit 53e071b892
2 changed files with 9 additions and 4 deletions
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6
GPy/core/gp.py
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@ -70,7 +70,7 @@ class GP(Model):
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
@ -186,7 +186,7 @@ class GP(Model):
"""
assert "matplotlib" in sys.modules, "matplotlib package has not been imported."
from ..plotting.matplot_dep import models_plots
models_plots.plot_fit_f(self,*args,**kwargs)
return models_plots.plot_fit_f(self,*args,**kwargs)
def plot(self, *args, **kwargs):
"""
@ -207,7 +207,7 @@ class GP(Model):
"""
assert "matplotlib" in sys.modules, "matplotlib package has not been imported."
from ..plotting.matplot_dep import models_plots
models_plots.plot_fit(self,*args,**kwargs)
return models_plots.plot_fit(self,*args,**kwargs)
def _getstate(self):
"""