弹性网络模型（Elastic Model）

from sklearn.model_selection import train_test_split
from sklearn.datasets import load_diabetes
X,y=load_diabetes().data,load_diabetes().target
X_train,X_test,y_train,y_test=train_test_split(X,y,random_state=8)

import numpy as np
from sklearn import linear_model
elastic_net=linear_model.ElasticNet().fit(X_train,y_train)
print("the coefficient:{}".format(elastic_net.coef_))
print('the intercept:{}'.format(elastic_net.intercept_))
print("the score of this model:{:.3f}".format(elastic_net.score(X_test,y_test)))
print("the model uses {}".format(np.sum(elastic_net.coef_!=0))+" features
")