dlcvBoruta: DLCV Boruta

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

DLCV Boruta

Description

Double Loop Cross Validation with Boruta. Features are selected in the inner loop and used in the outer loop to train the model that is subsequently tested on the left-out fold in the outer loop.

Usage

dlcvBoruta(folds, rec, features)

Arguments

folds	rsample object with either group V-fold or the standard V-fold cross validation folds.
rec	recipe object used for training
features	features

Value

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

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