def test_linear_sg(self):
d1 = np.random.randn(105, 32)
d2 = np.random.randn(41, 32)
nk = npK.LinearKernel()
sk = sgK.LinearSGKernel()
nk.compute(d1, d2)
sk.compute(d1, d2)
self.kernel_equiv(nk, sk)
def test_custom_sg(self):
lk = sgK.LinearSGKernel()
cl = sgK.CustomSGKernel(sgK.sgk.LinearKernel)
poly = sgK.PolySGKernel()
poly_params = [('order', 2), ('inhomogenous', True)]
if not exists('sg ge 0.6.5'):
poly_params += [('use_normalization', False)]
custom = sgK.CustomSGKernel(sgK.sgk.PolyKernel,
kernel_params=poly_params)
d = np.random.randn(253, 52)
lk.compute(d)
cl.compute(d)
poly.compute(d)
custom.compute(d)
self.assertTrue(np.all(lk.as_np()._k == cl.as_np()._k),
'CustomSGKernel does not agree with Linear')
self.assertTrue(np.all(poly.as_np()._k == custom.as_np()._k),
'CustomSGKernel does not agree with Poly')
