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rsample (version 0.0.3)

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

71,082

Version

0.0.3

License

GPL-2

Maintainer

Max Kuhn

Last Published

November 20th, 2018

Functions in rsample (0.0.3)

as.data.frame.rsplit

Convert an rsplit object to a data frame

make_strata

Create or Modify Stratification Variables

mc_cv

Monte Carlo Cross-Validation

two_class_dat

Two Class Data

vfold_cv

V-Fold Cross-Validation

gather.rset

Gather an rset Object

complement

Determine the Assessment Samples

group_vfold_cv

Group V-Fold Cross-Validation

drinks

Sample Time Series Data

nested_cv

Nested or Double Resampling

populate

Add Assessment Indicies

rolling_origin

Rolling Origin Forecast Resampling

initial_split

Simple Training/Test Set Splitting

labels.rset

Find Labels from rset Object

rsample

rsample: General Resampling Infrastructure for R

fill

Add Assessment Indicies

attrition

Job Attrition

form_pred

Extract Predictor Names from Formula or Terms

pretty.vfold_cv

Short Decriptions of rsets

bootstraps

Bootstrap Sampling

labels.rsplit

Find Labels from rsplit Object

rsample2caret

Convert Resampling Objects to Other Formats

reexports

Objects exported from other packages

tidy.rsplit

Tidy Resampling Object

loo_cv

Leave-One-Out Cross-Validation

apparent

Sampling for the Apparent Error Rate