from sklearn import datasets

from sklearn.linear_model import LinearRegression

#加载数据

loaded_data = datasets.load_boston()

data_X = loaded_data.data

data_Y = loaded_data.target

#是否需要对数据进行拆分

#定义模型

model = LinearRegression()

#训练

model.fit(data_X,data_Y)

print(model.predict(data_X[:4,:]))

print(data_Y[:4])

from sklearn import datasets

import matplotlib.pyplot as plt

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

plt.scatter(X,Y)

plt.show()