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modified kernel tests for gradients_XX
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1 changed files with 5 additions and 8 deletions
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@ -105,14 +105,14 @@ class Kern_check_d2K_dXdX(Kern_check_model):
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"""This class allows gradient checks for the secondderivative of a kernel with respect to X. """
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def __init__(self, kernel=None, dL_dK=None, X=None, X2=None):
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Kern_check_model.__init__(self,kernel=kernel,dL_dK=dL_dK, X=X, X2=X2)
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self.X = Param('X',X)
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self.link_parameter(self.X)
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#self.X = Param('X',X)
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#self.link_parameter(self.X)
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def log_likelihood(self):
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return np.sum(self.kernel.gradients_X(self.dL_dK,self.X, self.X2))
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def parameters_changed(self):
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self.X.gradient[:] = self.kernel.gradients_XX(self.dL_dK, self.X, self.X2,cov=True).sum(0).sum(1)
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self.X.gradient[:] = self.kernel.gradients_XX(self.dL_dK, self.X, self.X2)
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# class Kern_check_d2Kdiag_dXdX(Kern_check_model):
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# """This class allows gradient checks for the secondderivative of a kernel diagonal with respect to X. """
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@ -263,7 +263,7 @@ def check_kernel_gradient_functions(kern, X=None, X2=None, output_ind=None, verb
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except NotImplementedError:
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result=True
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if verbose:
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print(("gradients_XX not implemented for " + kern.name))
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print(("gradients_X not implemented for " + kern.name))
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if result and verbose:
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print("Check passed.")
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if not result:
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@ -283,7 +283,7 @@ def check_kernel_gradient_functions(kern, X=None, X2=None, output_ind=None, verb
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except NotImplementedError:
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result=True
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if verbose:
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print(("gradients_XX not implemented for " + kern.name))
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print(("gradients_X not implemented for " + kern.name))
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if result and verbose:
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print("Check passed.")
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if not result:
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@ -293,9 +293,6 @@ def check_kernel_gradient_functions(kern, X=None, X2=None, output_ind=None, verb
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pass_checks = False
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return False
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# if verbose:
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# print("Checking gradients of dKdiag(X, X) wrt X.")
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return pass_checks
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