def test_fit():
knop_test = KNOP(create_pool_classifiers())
knop_test.fit(X_dsel_ex1, y_dsel_ex1)
expected_scores = np.ones((15, 6)) * np.array([0.5, 0.5, 1.0, 0.0, 0.33, 0.67])
assert np.array_equal(expected_scores, knop_test.dsel_scores)
// Assert the roc_algorithm is fitted to the scores (decision space) rather than the features (feature space)
assert np.array_equal(knop_test.roc_algorithm._fit_X, knop_test.dsel_scores)
After Change
knop_test = KNOP(create_pool_classifiers())
knop_test.fit(X_dsel_ex1, y_dsel_ex1)
expected_scores = np.array([[0.5, 0.5], [1.0, 0.0], [0.33, 0.67]])
expected_scores = np.tile(expected_scores, (15, 1, 1))
assert np.array_equal(expected_scores, knop_test.dsel_scores)
// Assert the roc_algorithm is fitted to the scores (decision space) rather than the features (feature space)
