dlcvRf: DLCV Random Forest With Hyperparameter Optimization

In mikeniemant/nbs: What the Package Does (One Line, Title Case)

DLCV Random Forest With Hyperparameter Optimization

Description

DLCV Random Forest With Hyperparameter Optimization

Usage

dlcvRf(folds, rec, rf_hp_grid = NULL, boruta = F)

Arguments

folds	rsample object with either group V-fold or the standard V-fold cross validation folds.
rec	recipes recipe used for training
rf_hp_grid	Tuning grid dials objects with ranges for the following three random forest hyperparameters: mtry, min_n and trees
boruta	Feature selection with Boruta

Value

Tibble with k outer loop models, and training and testing predictions.

mikeniemant/nbs documentation built on June 23, 2022, 4:52 a.m.