def test_prank_linear_kernel():
est = KernelPRank(kernel="linear",
n_iter=10,
shuffle=False,
random_state=0)
est.fit(X, y)
np.testing.assert_almost_equal(est.score(X, y), 41.86, 2)
def test_prank_rbf_kernel():
est = KernelPRank(kernel="rbf",
gamma=100,
n_iter=10,
shuffle=False,
random_state=0)
est.fit(X, y)
np.testing.assert_almost_equal(est.score(X, y), 15.84, 2)
def test_prank_rbf_kernel():
est = KernelPRank(kernel="rbf", gamma=100, n_iter=10, shuffle=False,
random_state=0)
est.fit(X, y)
assert_almost_equal(est.score(X, y), 15.84, 2)
def test_prank_linear_kernel():
est = KernelPRank(kernel="linear", n_iter=10, shuffle=False,
random_state=0)
est.fit(X, y)
assert_almost_equal(est.score(X, y), 41.86, 2)
