diff --git a/GPy/testing/kernel_tests.py b/GPy/testing/kernel_tests.py index f47e9805..402599d2 100644 --- a/GPy/testing/kernel_tests.py +++ b/GPy/testing/kernel_tests.py @@ -105,14 +105,14 @@ class Kern_check_d2K_dXdX(Kern_check_model): """This class allows gradient checks for the secondderivative of a kernel with respect to X. """ def __init__(self, kernel=None, dL_dK=None, X=None, X2=None): Kern_check_model.__init__(self,kernel=kernel,dL_dK=dL_dK, X=X, X2=X2) - self.X = Param('X',X) - self.link_parameter(self.X) + #self.X = Param('X',X) + #self.link_parameter(self.X) def log_likelihood(self): return np.sum(self.kernel.gradients_X(self.dL_dK,self.X, self.X2)) def parameters_changed(self): - self.X.gradient[:] = self.kernel.gradients_XX(self.dL_dK, self.X, self.X2,cov=True).sum(0).sum(1) + self.X.gradient[:] = self.kernel.gradients_XX(self.dL_dK, self.X, self.X2) # class Kern_check_d2Kdiag_dXdX(Kern_check_model): # """This class allows gradient checks for the secondderivative of a kernel diagonal with respect to X. """ @@ -263,7 +263,7 @@ def check_kernel_gradient_functions(kern, X=None, X2=None, output_ind=None, verb except NotImplementedError: result=True if verbose: - print(("gradients_XX not implemented for " + kern.name)) + print(("gradients_X not implemented for " + kern.name)) if result and verbose: print("Check passed.") if not result: @@ -283,7 +283,7 @@ def check_kernel_gradient_functions(kern, X=None, X2=None, output_ind=None, verb except NotImplementedError: result=True if verbose: - print(("gradients_XX not implemented for " + kern.name)) + print(("gradients_X not implemented for " + kern.name)) if result and verbose: print("Check passed.") if not result: @@ -293,9 +293,6 @@ def check_kernel_gradient_functions(kern, X=None, X2=None, output_ind=None, verb pass_checks = False return False -# if verbose: -# print("Checking gradients of dKdiag(X, X) wrt X.") - return pass_checks