rsample v0.0.3

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General Resampling Infrastructure

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

Functions in rsample

Name Description
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
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Vignettes of rsample

Name
Applications/Keras.Rmd
Applications/Nested_Resampling.Rmd
Applications/Recipes_and_rsample.Rmd
Applications/Survival_Analysis.Rmd
Applications/Time_Series.Rmd
Applications/diagram.png
Basics.Rmd
Working_with_rsets.Rmd
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Details

URL https://tidymodels.github.io/rsample
BugReports https://github.com/tidymodels/rsample/issues
License GPL-2
Encoding UTF-8
VignetteBuilder knitr
LazyData true
RoxygenNote 6.1.1
NeedsCompilation no
Packaged 2018-11-20 12:14:16 UTC; max
Repository CRAN
Date/Publication 2018-11-20 17:30:04 UTC

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