kernels.py 文件源码

def getTestKernelDiag(self, params, Xtest):
        self.checkParams(params)
        b = np.exp(params[0])
        k = np.exp(params[1])
        M = 1.0 / (b + np.exp(k*self.D))
        Xtest_scaled = Xtest/np.sqrt(Xtest.shape[1])
        return np.diag((Xtest_scaled).dot(M).dot(Xtest_scaled.T))




#LD kernel with exponential decay but no bias term