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rsample (version 0.0.5)
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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Install
install.packages('rsample')
Monthly Downloads
58,095
Version
0.0.5
License
GPL-2
Maintainer
Max Kuhn
Last Published
July 12th, 2019
Functions in rsample (0.0.5)
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initial_split
Simple Training/Test Set Splitting
make_strata
Create or Modify Stratification Variables
rolling_origin
Rolling Origin Forecast Resampling
reexports
Objects exported from other packages
loo_cv
Leave-One-Out Cross-Validation
two_class_dat
Two Class Data
int_pctl
Bootstrap confidence intervals
tidy.rsplit
Tidy Resampling Object
group_vfold_cv
Group V-Fold Cross-Validation
pretty.vfold_cv
Short Decriptions of rsets
populate
Add Assessment Indicies
nested_cv
Nested or Double Resampling
vfold_cv
V-Fold Cross-Validation
mc_cv
Monte Carlo Cross-Validation
rsample
rsample: General Resampling Infrastructure for R
labels.rset
Find Labels from rset Object
labels.rsplit
Find Labels from rsplit Object
rsample2caret
Convert Resampling Objects to Other Formats
gather.rset
Gather an
rset
Object
add_resample_id
Augment a data set with resampling identifiers
apparent
Sampling for the Apparent Error Rate
bootstraps
Bootstrap Sampling
complement
Determine the Assessment Samples
as.data.frame.rsplit
Convert an
rsplit
object to a data frame
attrition
Job Attrition
drinks
Sample Time Series Data
form_pred
Extract Predictor Names from Formula or Terms