from sklearn import datasets

from sklearn.linear_model import LinearRegression

import matplotlib.pyplot as plt

#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)

#y = 0.1x+0.3

print(model.coef_) #输出斜率0.1

print(model.intercept_)  #输出截距0.3

print(model.get_params())

#data_X的预测值，与data_Y(真实值)之间的打分

print(model.score(data_X,data_Y)) #对 Model 用 R^2 的方式进行打分R^2 coefficient of determination