[Sklearn] ElasticNet

ElasticNet

l1_ratio (default=0.5)

l1_ratio = 0 (L2 규제만 사용)

l1_ratio = 1 (L1 규제만 사용)

0 < l1_ratio < 1 (L1 and L2 규제의 혼합사용)

from sklearn.linear_model import ElasticNet

ratios = [0.2, 0.5, 0.8]

for ratio in ratios:
    elasticnet = ElasticNet(alpha=0.5, l1_ratio=ratio)
    elasticnet.fit(x_train, y_train)
    pred = elasticnet.predict(x_test)

 

 

 

elsticnet_20 = ElasticNet(alpha=5, l1_ratio=0.2)
elsticnet_20.fit(x_train, y_train)
elasticnet_pred_20 = elsticnet_20.predict(x_test)

 

 

 

elsticnet_80 = ElasticNet(alpha=5, l1_ratio=0.8)
elsticnet_80.fit(x_train, y_train)
elasticnet_pred_80 = elsticnet_80.predict(x_test)