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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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Install
install.packages('rsample')
Monthly Downloads
58,095
Version
0.0.3
License
GPL-2
Maintainer
Max Kuhn
Last Published
November 20th, 2018
Functions in rsample (0.0.3)
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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