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Four panels.
glmnetGridTable(XyList, alpha = 0, nfolds=10, family = "gaussian")
input
elastic net parameter
Number of folds, K, in regularized K-fold CV, must be >3 and <=10.
distribution
plot produced by side-effect. Table.
tba
trainTestPartition, cv.glmnet, glmnet, predict.glmnet
trainTestPartition
cv.glmnet
glmnet
predict.glmnet
# NOT RUN { set.seed(7733551) out <- trainTestPartition(mcdonald) round(glmnetGridTable(out),4) # }
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