def kernel_rational_quadratic_none(X, length_scale=1.0, alpha=2.0):
dists = squareform_pdist(X, metric='sqeuclidean')
cst = py_pow(length_scale, 2)
cst = py_mul(cst, alpha, 2)
t_cst = py_make_float_array(cst)
tmp = dists / t_cst
t_one = py_make_float_array(1)
base = tmp + t_one
t_alpha = py_make_float_array(py_opp(alpha))
K = numpy.power(base, t_alpha)
return K
def kernel_call_ynone(X, sigma_0=2.):
t_sigma_0 = py_make_float_array(py_pow(sigma_0, 2))
K = X @ numpy.transpose(X, axes=[1, 0]) + t_sigma_0
return K