def test_fit_linear_binary():
for loss in ("l1", "l2"):
clf = DualLinearSVC(loss=loss, random_state=0, max_iter=100)
clf.fit(bin_dense, bin_target)
y_pred = clf.decision_function(bin_dense)
clf2 = DualSVC(loss=loss, random_state=0, max_iter=100)
clf2.fit(bin_dense, bin_target)
y_pred2 = clf2.decision_function(bin_dense)
assert_array_almost_equal(y_pred, y_pred2)
def test_warm_start():
clf = DualSVC(warm_start=True, loss="l1", kernel="linear", random_state=0,
max_iter=100)
clf2 = DualLinearSVC(warm_start=True, loss="l1", random_state=0,
max_iter=100)
for C in (0.1, 0.2):
clf.C = C
clf2.C = C
clf.fit(bin_dense, bin_target)
y_pred = clf.decision_function(bin_dense)
clf2.fit(bin_dense, bin_target)
y_pred2 = clf2.decision_function(bin_dense)
assert_array_almost_equal(y_pred, y_pred2)
