cache.py 文件源码

def main():
    from sklearn import svm
    from sklearn.datasets import samples_generator
    from sklearn.feature_selection import SelectKBest
    from sklearn.feature_selection import f_regression
    from sklearn.preprocessing import MinMaxScaler

    X, y = samples_generator.make_classification(n_samples=1000, n_informative=5, n_redundant=4, random_state=_random_state)
    anova_filter = SelectKBest(f_regression, k=5)
    scaler = MinMaxScaler()
    clf = svm.SVC(kernel='linear')

    steps = [scaler, anova_filter, clf]
    cached_run(steps, X, y)