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rsample (version 0.0.4)

General Resampling Infrastructure

Description

Classes and functions to create and summarize different types of resampling objects (e.g. bootstrap, cross-validation).

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Version

Install

install.packages('rsample')

Monthly Downloads

52,430

Version

0.0.4

License

GPL-2

Maintainer

Max Kuhn

Last Published

January 7th, 2019

Functions in rsample (0.0.4)

apparent

Sampling for the Apparent Error Rate
nested_cv

Nested or Double Resampling
tidy.rsplit

Tidy Resampling Object
two_class_dat

Two Class Data
group_vfold_cv

Group V-Fold Cross-Validation
initial_split

Simple Training/Test Set Splitting
loo_cv

Leave-One-Out Cross-Validation
make_strata

Create or Modify Stratification Variables
complement

Determine the Assessment Samples
drinks

Sample Time Series Data
attrition

Job Attrition
bootstraps

Bootstrap Sampling
labels.rset

Find Labels from rset Object
labels.rsplit

Find Labels from rsplit Object
populate

Add Assessment Indicies
pretty.vfold_cv

Short Decriptions of rsets
vfold_cv

V-Fold Cross-Validation
form_pred

Extract Predictor Names from Formula or Terms
gather.rset

Gather an rset Object
reexports

Objects exported from other packages
rolling_origin

Rolling Origin Forecast Resampling
rsample

rsample: General Resampling Infrastructure for R
rsample2caret

Convert Resampling Objects to Other Formats
as.data.frame.rsplit

Convert an rsplit object to a data frame
mc_cv

Monte Carlo Cross-Validation