def test_warm_start_l2r():
clf = CDClassifier(warm_start=True, random_state=0, penalty="l2")
clf.C = 0.1
clf.fit(bin_dense, bin_target)
assert_almost_equal(clf.score(bin_dense, bin_target), 1.0)
clf.C = 0.2
clf.fit(bin_dense, bin_target)
assert_almost_equal(clf.score(bin_dense, bin_target), 1.0)
def test_warm_start_l2r():
clf = CDClassifier(warm_start=True, random_state=0, penalty="l2")
clf.C = 0.1
clf.fit(bin_dense, bin_target)
assert_almost_equal(clf.score(bin_dense, bin_target), 1.0)
clf.C = 0.2
clf.fit(bin_dense, bin_target)
assert_almost_equal(clf.score(bin_dense, bin_target), 1.0)
def test_warm_start_l1r():
clf = CDClassifier(warm_start=True, random_state=0, penalty="l1")
clf.C = 0.1
clf.fit(bin_dense, bin_target)
n_nz = clf.n_nonzero()
clf.C = 0.2
clf.fit(bin_dense, bin_target)
n_nz2 = clf.n_nonzero()
assert_true(n_nz < n_nz2)
def test_warm_start_l1r():
clf = CDClassifier(warm_start=True, random_state=0, penalty="l1")
clf.C = 0.1
clf.fit(bin_dense, bin_target)
n_nz = clf.n_nonzero()
clf.C = 0.2
clf.fit(bin_dense, bin_target)
n_nz2 = clf.n_nonzero()
assert_true(n_nz < n_nz2)
def test_debiasing_warm_start():
clf = CDClassifier(penalty="l1", max_iter=10,
warm_start=True, random_state=0)
clf.C = 0.5
clf.fit(bin_dense, bin_target)
assert_equal(clf.n_nonzero(), 74)
assert_almost_equal(clf.score(bin_dense, bin_target), 1.0)
clf.C = 1.0
clf.fit(bin_dense, bin_target)
# FIXME: not the same sparsity as without warm start...
assert_equal(clf.n_nonzero(), 77)
assert_almost_equal(clf.score(bin_dense, bin_target), 1.0)
def test_debiasing_warm_start():
clf = CDClassifier(penalty="l1",
max_iter=10,
warm_start=True,
random_state=0)
clf.C = 0.5
clf.fit(bin_dense, bin_target)
assert_equal(clf.n_nonzero(), 74)
assert_almost_equal(clf.score(bin_dense, bin_target), 1.0)
clf.C = 1.0
clf.fit(bin_dense, bin_target)
# FIXME: not the same sparsity as without warm start...
assert_equal(clf.n_nonzero(), 77)
assert_almost_equal(clf.score(bin_dense, bin_target), 1.0)
