mlearn: the MLHO ML training and testing

In hestiri/mlho: Machine Learning for Health Outcomes (MLHO)

the MLHO ML training and testing

Description

the MLHO ML training and testing

Usage

mlearn(
  dat.train,
  dat.test,
  dems = NULL,
  save.model = FALSE,
  classifier = "glmboost",
  note = "mlho_terst_run",
  cv = "cv",
  nfold = 5,
  aoi = "label",
  multicore = FALSE,
  preProc = TRUE
)

Arguments

dat.train	training data
dat.test	testing data
dems	demographic variables
save.model	do you want to save the model?
classifier	the classification algorithm
note	add a descriptive word about your modeling
cv	cross validatio method
nfold	nfold cross validation folds
aoi	outcome of interest
multicore	do you want to parallelize the process?
preProc	preprocessig on the train data or not

hestiri/mlho documentation built on March 20, 2023, 11:04 p.m.