9cdd21160f4b4352b05f7b7ce9f0f63506c585c9,benchmarks/bench_ml.py,,load_data_target,#Any#,144

Before Change

            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"
            urlretrieve(url, "pop_failures.dat")
            data = dict()
            samples = np.loadtxt("pop_failures.dat", skiprows=1)
            os.remove("pop_failures.dat")
            data["data"] = samples[:, :-1]

After Change

    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()

Instances