8b9d5d8f72f8470759d0920915b6547042686066,GPy/kern/src/integral.py,Integral,update_gradients_full,#Integral#,32

Before Change

            //print "V%0.5f" % self.variances.gradient
            //print "L%0.5f" % self.lengthscale.gradient
        else:     //we"re finding dK_xf/Dtheta
            print("NEED TO HANDLE TODO!")

    //useful little function to help calculate the covariances.
    def g(self,z):
        return 1.0 * z * np.sqrt(math.pi) * math.erf(z) + np.exp(-(z**2))

After Change

            self.lengthscale.gradient = np.sum(dK_dl * dL_dK)
            self.variances.gradient = np.sum(dK_dv * dL_dK)
        else:     //we"re finding dK_xf/Dtheta
            raise NotImplementedError("Currently this function only handles finding the gradient of a single vector of inputs (X) not a pair of vectors (X and X2)")

    //useful little function to help calculate the covariances.
    def g(self,z):
        return 1.0 * z * np.sqrt(math.pi) * math.erf(z) + np.exp(-(z**2))

Instances