def test_warm_start(bin_dense_train_data, C):
bin_dense, bin_target = bin_dense_train_data
clf = LinearSVC(warm_start=True, loss="l1", random_state=0, max_iter=100)
clf.C = C
clf.fit(bin_dense, bin_target)
acc = clf.score(bin_dense, bin_target)
assert acc > 0.99
def test_warm_start():
clf = LinearSVC(warm_start=True, loss="l1", random_state=0, max_iter=100)
for C in (0.1, 0.2):
clf.C = C
clf.fit(bin_dense, bin_target)
acc = clf.score(bin_dense, bin_target)
assert_greater(acc, 0.99)
def test_warm_start():
clf = LinearSVC(warm_start=True, loss="l1", random_state=0, max_iter=100)
for C in (0.1, 0.2):
clf.C = C
clf.fit(bin_dense, bin_target)
acc = clf.score(bin_dense, bin_target)
assert_greater(acc, 0.99)
