def test_oss_sample_wrong_X():
"""Test either if an error is raised when X is different at fitting
and sampling"""
# Create the object
oss = OneSidedSelection(random_state=RND_SEED)
oss.fit(X, Y)
assert_raises(RuntimeError, oss.sample, np.random.random((100, 40)),
np.array([0] * 50 + [1] * 50))
def test_oss_sample_wrong_X():
"""Test either if an error is raised when X is different at fitting
and sampling"""
# Create the object
oss = OneSidedSelection(random_state=RND_SEED)
oss.fit(X, Y)
assert_raises(RuntimeError, oss.sample,
np.random.random((100, 40)), np.array([0] * 50 + [1] * 50))
def test_oss_fit():
"""Test the fitting method"""
# Create the object
oss = OneSidedSelection(random_state=RND_SEED)
# Fit the data
oss.fit(X, Y)
# Check if the data information have been computed
assert_equal(oss.min_c_, 0)
assert_equal(oss.maj_c_, 1)
assert_equal(oss.stats_c_[0], 6)
assert_equal(oss.stats_c_[1], 9)
def test_oss_fit():
"""Test the fitting method"""
# Create the object
oss = OneSidedSelection(random_state=RND_SEED)
# Fit the data
oss.fit(X, Y)
# Check if the data information have been computed
assert_equal(oss.min_c_, 0)
assert_equal(oss.maj_c_, 1)
assert_equal(oss.stats_c_[0], 6)
assert_equal(oss.stats_c_[1], 9)
