cv_folding: Generates folds for cross-validation

In autoMrP: Improving MrP with Ensemble Learning

Generates folds for cross-validation

Description

cv_folding creates folds used in classifier training within the survey data.

Usage

cv_folding(data, L2.unit, k.folds, cv.sampling = c("individuals", "L2 units"))

Arguments

data	The survey data; must be a tibble.
L2.unit	The column name of the factor variable identifying the context-level unit
k.folds	An integer value indicating the number of folds to be generated.
cv.sampling	Cross-validation sampling method. A character-valued scalar indicating whether cross-validation folds should be created by sampling individual respondents (individuals) or geographic units (L2 units). Default is L2 units. Note: ignored if folds is provided, but must be specified otherwise.

Value

Returns a list with length specified by k.folds argument. Each element is a tibble with a fold used in k-fold cross-validation.

autoMrP documentation built on May 29, 2024, 6:40 a.m.