R lasso logistic回归glmnet-如何创建地层样本
目前,我有一个clogit模型,但我想进一步推动它,用地层进行lasso logistics回归(glmnet) 我想按车号对模型进行分层。。。请问有人知道怎么做吗? 谢谢你抽出时间 克罗吉特R lasso logistic回归glmnet-如何创建地层样本,r,conditional-statements,logistic-regression,lasso-regression,R,Conditional Statements,Logistic Regression,Lasso Regression,目前,我有一个clogit模型,但我想进一步推动它,用地层进行lasso logistics回归(glmnet) 我想按车号对模型进行分层。。。请问有人知道怎么做吗? 谢谢你抽出时间 克罗吉特 fit <- clogit(Win ~ strata(RaceNumber) + Age + LogOdds + JockeyWin + ......., Data) fit x <- model.matrix(Win~.,trainset) y <- trainset$Win cv.
fit <- clogit(Win ~ strata(RaceNumber) + Age + LogOdds + JockeyWin + ......., Data)
fit
x <- model.matrix(Win~.,trainset)
y <- trainset$Win
cv.out <- cv.glmnet(x,y,alpha=1,family=”binomial”,type.measure = “mse” )