def parameters_changed(self):
<EOL>self.X = self.transform_data(self.X_untransformed)<EOL>super(InputWarpedGP, self).parameters_changed()<EOL>dL_dX = self.kern.gradients_X(self.grad_dict['<STR_LIT>'], self.X)<EOL>self.warping_function.update_grads(self.X_untransformed, dL_dX)<EOL>
Update the gradients of parameters for warping function

        This method is called when having new values of parameters for warping function, kernels
        and other parameters in a normal GP