Python SklearnPredictor.from_checkpoint Examples

Example #1

def test_predict_no_preprocessor():
    with tempfile.TemporaryDirectory() as tmpdir:
        with open(os.path.join(tmpdir, MODEL_KEY), "wb") as f:
            cpickle.dump(model, f)

        checkpoint = Checkpoint.from_directory(tmpdir)
        predictor = SklearnPredictor.from_checkpoint(checkpoint)

    data_batch = np.array([[1, 2], [3, 4], [5, 6]])
    predictions = predictor.predict(data_batch)

    assert len(predictions) == 3

Example #2

File: test_sklearn_predictor.py Project: tchordia/ray

def test_init():
    preprocessor = DummyPreprocessor()
    preprocessor.attr = 1
    predictor = SklearnPredictor(estimator=model, preprocessor=preprocessor)

    with tempfile.TemporaryDirectory() as tmpdir:
        with open(os.path.join(tmpdir, MODEL_KEY), "wb") as f:
            cpickle.dump(model, f)
        save_preprocessor_to_dir(preprocessor, tmpdir)

        checkpoint = Checkpoint.from_directory(tmpdir)
        checkpoint_predictor = SklearnPredictor.from_checkpoint(checkpoint)

    assert np.allclose(
        checkpoint_predictor.estimator.feature_importances_,
        predictor.estimator.feature_importances_,
    )
    assert checkpoint_predictor.preprocessor.attr == predictor.preprocessor.attr