train_cv_model_glmnet: A function train a model with CV

In skimlab/CCSBUtils: R Utilitiy Functions for CCSB

A function train a model with CV

Description

A function train a model with CV

Usage

train_cv_model_glmnet(
  data_train,
  cls_train,
  fitControl,
  observation_weights = NULL,
  penalty.factor = 1
)

Arguments

data_train	input matrix, of dimension nobs x nvars; each row is an observation vector. Since this is an input to glmnet, it should be the format that can be used with glmnet
cls_train	class labels
fitControl	A list of training parameters. See caret::trainControl for detail
penalty.factor	Separate penalty factors can be applied to each coefficient. See glmnet::glmnet for detail

Value

A list returned from caret::train

skimlab/CCSBUtils documentation built on March 30, 2022, 4:52 a.m.