def test_preprocess_dsel_scores():
ds_test = DS(create_pool_classifiers())
ds_test.fit(X_dsel_ex1, y_dsel_ex1)
dsel_scores = ds_test._preprocess_dsel_scores()
expected = np.array([[0.5, 0.5], [1.0, 0.0], [0.33, 0.67]])
expected = np.tile(expected, (15, 1, 1))
assert np.array_equal(dsel_scores, expected)
def test_preprocess_dsel_scores():
ds_test = DS(create_pool_classifiers())
ds_test.fit(X_dsel_ex1, y_dsel_ex1)
dsel_scores = ds_test._preprocess_dsel_scores()
expected = np.ones((15, 6)) * np.array([0.5, 0.5, 1.0, 0.0, 0.33, 0.67])
assert np.array_equal(dsel_scores, expected)
