loo_cv: Leave-One-Out Cross-Validation

View source: R/loo.R

loo_cvR Documentation

Leave-One-Out Cross-Validation

Description

Leave-one-out (LOO) cross-validation uses one data point in the original set as the assessment data and all other data points as the analysis set. A LOO resampling set has as many resamples as rows in the original data set.

Usage

loo_cv(data, ...)

Arguments

data

A data frame.

...

These dots are for future extensions and must be empty.

Value

An tibble with classes loo_cv, rset, tbl_df, tbl, and data.frame. The results include a column for the data split objects and one column called id that has a character string with the resample identifier.

Examples

loo_cv(mtcars)

rsample documentation built on May 29, 2024, 11:03 a.m.