sklearn_usage.py 文件源码

def lession_5():
    # db = datasets.load_boston()
    # print db.data.shape
    # data_X=db.data
    # data_y=db.target
    # model = LinearRegression()
    # model.fit(data_X,data_y)
    # print model.predict(data_X[:8])
    # print data_y[:8]

    X,y = datasets.make_regression(n_samples=100,n_features=1,n_targets=1,noise=10)

    plt.scatter(X,y)
    plt.show()