def linear1():
"""
正规方程的优化方法对波士顿房价进行预测
:return:
"""
# 1）获取数据
boston = load_boston()
# 2）划分数据集
x_train, x_test, y_train, y_test = train_test_split(boston.data, boston.target, random_state=22)
# 3）标准化
transfer = StandardScaler()
x_train = transfer.fit_transform(x_train)
x_test = transfer.transform(x_test)
# 4）预估器
estimator = LinearRegression()
estimator.fit(x_train, y_train)
# 5）得出模型
print("正规方程-权重系数为：\n", estimator.coef_)
print("正规方程-偏置为：\n", estimator.intercept_)
# 6）模型评估
y_predict = estimator.predict(x_test)
print("预测房价：\n", y_predict)
error = mean_squared_error(y_test, y_predict)
print("正规方程-均方误差为：\n", error)
return None
