def test_individual_boss_on_gunpoint():
# load gunpoint data
X_train, y_train = load_gunpoint(split="train", return_X_y=True)
X_test, y_test = load_gunpoint(split="test", return_X_y=True)
indices = np.random.RandomState(0).permutation(10)
# train IndividualBOSS
indiv_boss = IndividualBOSS(random_state=0)
indiv_boss.fit(X_train.iloc[indices], y_train[indices])
# assert probabilities are the same
probas = indiv_boss.predict_proba(X_test.iloc[indices])
testing.assert_array_equal(probas, individual_boss_gunpoint_probas)
def test_individual_boss_on_unit_test():
"""Test of IndividualBOSS on unit test data."""
# load unit test data
X_train, y_train = load_unit_test(split="train")
X_test, y_test = load_unit_test(split="test")
indices = np.random.RandomState(0).choice(len(y_train), 10, replace=False)
# train IndividualBOSS
indiv_boss = IndividualBOSS(random_state=0)
indiv_boss.fit(X_train, y_train)
# assert probabilities are the same
probas = indiv_boss.predict_proba(X_test.iloc[indices])
testing.assert_array_almost_equal(probas,
individual_boss_unit_test_probas,
decimal=2)