def METHOD_NAME():
    instance = HostFootprint()
    scaler = StandardScaler()
    test_data = [[i, i] for i in range(99)]
    scaler.fit(test_data)
    with tempfile.TemporaryDirectory() as tmpdir:
        scaler_file = os.path.join(tmpdir, 'scaler.mod')
        instance.serialize_scaler(scaler, scaler_file)
        new_scaler = instance.deserialize_scaler(scaler_file)
        assert len(scaler.mean_) == 2
        assert scaler.mean_.tolist() == new_scaler.mean_.tolist()