bench_ml.py 文件源码

def load_data_target(name):
    """
    Loads data and target given the name of the dataset.
    """
    if name == "Boston":
        data = load_boston()
    elif name == "Housing":
        data = fetch_california_housing()
        dataset_size = 1000 # this is necessary so that SVR does not slow down too much
        data["data"] = data["data"][:dataset_size]
        data["target"] =data["target"][:dataset_size]
    elif name == "digits":
        data = load_digits()
    elif name == "Climate Model Crashes":
        try:
            data = fetch_mldata("climate-model-simulation-crashes")
        except HTTPError as e:
            url = "https://archive.ics.uci.edu/ml/machine-learning-databases/00252/pop_failures.dat"
            data = urlopen(url).read().split('\n')[1:]
            data = [[float(v) for v in d.split()] for d in data]
            samples = np.array(data)
            data = dict()
            data["data"] = samples[:, :-1]
            data["target"] = np.array(samples[:, -1], dtype=np.int)
    else:
        raise ValueError("dataset not supported.")
    return data["data"], data["target"]