基于sklearn的线性回归模型

sklearn是python的机器学习库

from sklearn import datasets,linear_model
import pandas as pd

# 加载训练数据
data = pd.read_csv(filename)​
X = data[:, :-1]
Y = data[:, -1]

# 训练数据
regr = linear_model.LinearRegression()
regr.fit(X, Y)
print(regr.coef_)         #截距
print(regr.intercept_)    #斜率

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转载自blog.csdn.net/iv__vi/article/details/82811301