Basics of Machine Learning-LASSO-07

Insert picture description here
Insert picture description here
Insert picture description here
Insert picture description here

import numpy as np
from numpy import genfromtxt
from sklearn import linear_model
# 读入数据 
data = genfromtxt(r"longley.csv",delimiter=',')
print(data)

Insert picture description here

# 切分数据
x_data = data[1:,2:]
y_data = data[1:,1]
print(x_data)
print(y_data)

Insert picture description here

# 创建模型
model = linear_model.LassoCV()
model.fit(x_data, y_data)

# lasso系数
print(model.alpha_)
# 相关系数
print(model.coef_)

Insert picture description here

model.predict(x_data[-2,np.newaxis])

Insert picture description here

Guess you like

Origin blog.csdn.net/qq_37978800/article/details/113835978