train_model2_outer_fold: Train model 2 - Process the outer fold

In markgene/yamatClassifier: Yet Another Methylation Array Toolkit: Classifier

Train model 2 - Process the outer fold

Description

Train model 2 - Process the outer fold

Usage

train_model2_outer_fold(
  dat,
  response_name,
  outer_train_index,
  random_state,
  inner_cv_folds = 5,
  rf_grid = NULL,
  top_n = 10000,
  feature_selection_ranger_num_trees = 100,
  importance = "permutation",
  verbose = TRUE,
  ...
)

Arguments

dat	a data.frame of input data.
response_name	column name of the response.
outer_train_index	outer train sample indexes.
random_state	random seed.
inner_cv_folds	inner cross-validation fold number.
rf_grid	A data frame with possible tuning values. See train.
top_n	top N loci/features.
importance	importance of ranger.
verbose	A bool.
feature_selection_ranger_num_tree	num.trees of ranger.

Value

a list of two attributes, a data.frame of calibrated probabilities and response variable, and a vector of selected features.

markgene/yamatClassifier documentation built on Oct. 14, 2024, 2:36 a.m.