General Resampling Infrastructure

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


rsample 0.0.4

Small maintenence release.

Minor improvements and fixes

  • fill() was removed per the deprecation warning.
  • Small changes were made for the new version of tibble.

rsample 0.0.3

New features

  • Added function initial_time_split for ordered initial sampling appropriate for time series data.

Minor improvements and fixes

  • fill() has been renamed populate() to avoid a conflict with tidyr::fill().

  • Changed the R version requirement to be R >= 3.1 instead of 3.3.3.

  • The recipes-related prepper function was moved to the recipes package. This makes the rsample install footprint much smaller.

  • rsplit objects are shown differently inside of a tibble.

  • Moved from the broom package to the generics package.

rsample 0.0.2

  • initial_split, training, and testing were added to do training/testing splits prior to resampling.
  • Another resampling method, group_vfold_cv, was added.
  • caret2rsample and rsample2caret can convert rset objects to those used by caret::trainControl and vice-versa.
  • A function called form_pred can be used to determine the original names of the predictors in a formula or terms object.
  • A vignette and a function (prepper) were included to facilitate using the recipes with rsample.
  • A gather method was added for rset objects.
  • A labels method was added for rsplit objects. This can help identify which resample is being used even when the whole rset object is not available.
  • A variety of dplyr methods were added (e.g. filter, mutate, etc) that work without dropping classes or attributes of the rsample objects.

rsample 0.0.1 (2017-07-08)

Initial public version on CRAN

Reference manual

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