def METHOD_NAME(self):
    a = AutoML(
        results_path=self.automl_dir,
        total_time_limit=1,
        explain_level=0,
        start_random_models=1,
    )
    X, y = datasets.make_classification(
        n_samples=100,
        n_features=5,
        n_informative=4,
        n_redundant=1,
        n_classes=2,
        n_clusters_per_class=3,
        n_repeated=0,
        shuffle=False,
        random_state=0,
    )
    a.fit(X, y)
    p = a.predict(X)
    self.assertIsInstance(p, np.ndarray)
    self.assertEqual(len(p), X.shape[0])