def METHOD_NAME(self):
    import snapml
    import lale.lib.snapml
    for params in [{}, snapml.SnapSVMClassifier().get_params()]:
        trainable = lale.lib.snapml.SnapSVMClassifier(**params)
        trained = trainable.fit(self.train_X, self.train_y)
        for metric in [
            sklearn.metrics.accuracy_score,
            sklearn.metrics.roc_auc_score,
        ]:
            scorer = sklearn.metrics.make_scorer(metric)
            _ = scorer(trained, self.test_X, self.test_y)