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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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Install
install.packages('rsample')
Monthly Downloads
58,095
Version
0.0.4
License
GPL-2
Maintainer
Max Kuhn
Last Published
January 7th, 2019
Functions in rsample (0.0.4)
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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