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)
# 切分数据 x_data = data[1:,2:] y_data = data[1:,1] print(x_data) print(y_data)
# 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_)
model.predict(x_data[-2,np.newaxis])



