def METHOD_NAME():
    np.random.seed(123)
    featurizer = SNAPFeaturizer()
    dir = os.path.dirname(os.path.abspath(__file__))
    input_file = os.path.join(dir, 'assets/example_regression.csv')
    loader = dc.data.CSVLoader(tasks=["outcome"],
                               feature_field="smiles",
                               featurizer=featurizer)
    dataset = loader.create_dataset(input_file)
    metric = dc.metrics.Metric(dc.metrics.mean_absolute_error,
                               mode="regression")
    return dataset, metric