NEWS.md
Lower threshold for pooling strata to 10% (from 15%) (#149).
The print() methods for rsplit and val_split objects were adjusted to show "<Analysis/Assess/Total>" and <Training/Validation/Total>, respectively.
The drinks, attrition, and two_class_dat data sets were removed. They are in the modeldata package.
Compatability with dplyr 1.0.0.
rsample 0.0.6Added validation_set() for making a single resample.
Correct the tidy method for bootstraps (#115).
Changes for upcoming `tibble release.
Exported constructors for rset and split objects (#40)
initial_time_split() and rolling_origin() now have a lag parameter that ensures that previous data are available so that lagged variables can be calculated. (#135, #136)
rsample 0.0.5add_resample_id()) augments a data frame with columns for the resampling identifier.initial_split(), mc_cv(), vfold_cv(), bootstraps(), and group_vfold_cv() to use tidyselect on the stratification variable.initial_split(), mc_cv(), vfold_cv(), bootstraps() with new breaks parameter that specifies the number of bins to stratify by for a numeric stratification variable.rsample 0.0.3initial_time_split() for ordered initial sampling appropriate for time series data.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 0.0.2initial_split, training, and testing were added to do training/testing splits prior to resampling.group_vfold_cv, was added.caret2rsample and rsample2caret can convert rset objects to those used by caret::trainControl and vice-versa.form_pred can be used to determine the original names of the predictors in a formula or terms object.prepper) were included to facilitate using the recipes with rsample.gather method was added for rset objects.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.dplyr methods were added (e.g. filter, mutate, etc) that work without dropping classes or attributes of the rsample objects.