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gradients of predictions for Trevor

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James Hensman 2014-08-13 10:36:54 +01:00
parent 3fc603f778
commit fe405271e5
3 changed files with 34 additions and 12 deletions
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6
GPy/models/gplvm.py
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@ -45,10 +45,10 @@ class GPLVM(GP):
self.X.gradient = self.kern.gradients_X(self.grad_dict['dL_dK'], self.X, None)
def jacobian(self,X):
target = np.zeros((X.shape[0],X.shape[1],self.output_dim))
J = np.zeros((X.shape[0],X.shape[1],self.output_dim))
for i in range(self.output_dim):
target[:,:,i]=self.kern.gradients_X(np.dot(self.Ki,self.likelihood.Y[:,i])[None, :],X,self.X)
return target
J[:,:,i] = self.kern.gradients_X(self.posterior.woodbury_vector[:,i:i+1], X, self.X)
return J
def magnification(self,X):
target=np.zeros(X.shape[0])