train_model5_inner_fold: Train model 5 - process the inner fold
In markgene/yamatClassifier: Yet Another Methylation Array Toolkit: Classifier

train_model5_inner_fold

R Documentation

Train model 5 - process the inner fold

Description

Train model 5 - process the inner fold

Usage

train_model5_inner_fold(
  outer_train,
  response_name,
  random_state,
  inner_cv_folds = 5,
  calibration_youden_index_threshold = 0.9,
  calibration_lambda_min_ratio = 1e-06,
  rf_grid = NULL,
  verbose = TRUE,
  ...
)

Arguments

`outer_train`	a `data.frame` of one fold of training set during nested cross-validation.
`response_name`	column name of the response.
`random_state`	random seed.
`inner_cv_folds`	inner cross-validation fold number.
`calibration_youden_index_threshold`	a float of Youden index threhold. Default to 0.9.
`calibration_lambda_min_ratio`	see `lambda.min.ratio` of `glmnet`. Default to 1e-6.
`rf_grid`	A data frame with possible tuning values. See `train`.
`verbose`	A bool.