nested_cv() no longer errors if outside is a long call (#459, #461).
The validation_set class now has its own pretty() method (#456).
The new initial_validation_split(), along with variants initial_validation_time_split() and group_initial_validation_split(), generates a three-way split of the data into training, validation, and test sets. With the new validation_set(), this can be turned into an rset object for tuning (#403, #446).
validation_split(), validation_time_split(), and group_validation_split() have been soft-deprecated in favor of the new functions implementing a 3-way split (initial_validation_split(), initial_validation_time_split(), and group_initial_validation_split()) (#449).
Functions which don’t use the ellipsis ... now enforce empty dots (#429).
make_splits() gained an example in the documentation (@AngelFelizR, #432).
training(), testing(), analysis(), and assessment() are now S3 generics with methods for rsplit objects. Previously they manually required the input to be an rsplit object (#384).
The int_*() functions are now S3 generics and have corresponding methods for class bootstraps (#435).
The underlying mechanics of data splitting were changed so that Surv objects maintain their class. This change affects the row names of the resulting objects; they are reindexed from one instead of being a subset of the original row names (#443).
rsample does not re-export gather() anymore (#451).
All grouped resampling functions (group_vfold_cv(), group_mc_cv(), group_initial_split() and group_validation_split(), and group_bootstraps()) now support stratification. Strata must be constant within each group (@mikemahoney218, #317, #360, #363, #364, #365).
Added a new function, clustering_cv(), for blocked cross-validation in various predictor spaces. This is a very flexible function, taking arguments to both distance_function and cluster_function, allowing it to be used for spatial clustering as well as potentially phylogenetic and other forms of clustering (@mikemahoney218, #351).
bootstraps() and group_bootstraps() now warn if resampling returns any empty assessment sets. Previously, bootstraps() was silent while group_bootstraps() errored (@mikemahoney218, #356, #357).
The assessment set of validation_time_split() now also contains the lagged observations (#376).
The new helper get_rsplit() lets you conveniently access the rsplit objects inside an rset objects (@mikemahoney218, #399).
The result of initial_time_split() now has its own subclass "initial_time_split", in addition to existing classes (#397).
The dependency on the ellipsis package has been removed (#393).
Removed an overly strict test in preparation for dplyr 1.1.0 (#380).
rset objects now include all parameters used to create them as attributes (#329).
Objects returned by sliding functions now have an index attribute, where appropriate, containing the column name used as an index (#329).
Objects returned by permutations() now have a permutes attribute containing the column name used for permutation (#329).
Added breaks and pool as attributes to all functions which support stratification (#329).
Changed the “strata” attribute on rset objects so that it now is either a character vector identifying the column used to stratify the data, and is not present (set to NULL) if stratification was not used. (#329)
Added a new function, reshuffle_rset(), which takes an rset object and generates a new version of it using the same arguments but the current random seed. (#79, #329)
Added arguments to control how group_vfold_cv() combines groups. Use balance = "groups" to assign (roughly) the same number of groups to each fold, or balance = "observations" to assign (roughly) the same number of observations to each fold.
Added a repeats argument to group_vfold_cv() (#330).
Added new functions for grouped resampling: group_mc_cv() (#313), group_initial_split() and group_validation_split() (#315), and group_bootstraps() (#316).
Added a new function, reverse_splits(), to swap analysis and assessment splits (#319, #284).
Improved the error thrown when calling assessment() on a perm_split object created by permutations() (#321, #322).
Fixed how nested_cv() handles call objects so variables in the environment can be used when specifying resampling schemes (#81).
Updated to testthat 3e (#280) and added better checking for vfold_cv() (#293).
Finally removed the gather() method for rset objects. Use tidyr::pivot_longer() instead (#280).
Changed initial_split() to avoid calling tidyselect twice on strata (#296). This fix stops initial_split() from generating messages like:
Note: Using an external vector in selections is ambiguous.
i Use `all_of(strata)` instead of `strata` to silence this message.
i See <https://tidyselect.r-lib.org/reference/faq-external-vector.html>.Updated documentation on stratified sampling (#245).
Changed make_splits() to an S3 generic, with the original functionality a method for list and a new method for dataframes that allows users to create a split from existing analysis & assessment sets (@LiamBlake, #246).
Added validation_time_split() for a single validation sample taking the first samples for training (@mine-cetinkaya-rundel, #256).
Escalated the deprecation of the gather() method for rset objects to a hard deprecation. Use tidyr::pivot_longer() instead (#257).
Changed resample “fingerprint” to hash the indices only rather than the entire resample result (including the data object). This is much faster and will still ensure the same resample for the same original data object (#259).
Fixed how mc_cv(), initial_split(), and validation_split() use the prop argument to first compute the assessment indices, rather than the analysis indices. This is a minor but breaking change in some situations; the previous implementation could cause an inconsistency in the sizes of the generated analysis and assessment sets when compared to how prop is documented to function (#217, @issactoast).
Fixed problem with creation of apparent() (#223) and caret2rsample() (#232) resamples.
Re-licensed package from GPL-2 to MIT. See consent from copyright holders here.
Attempts to stratify on a Surv object now error more informatively (#230).
Exposed pool argument from make_strata() in user-facing resampling functions (#229).
Deprecated the gather() method for rset objects in favor of tidyr::pivot_longer() (#233).
Fixed bug in make_strata() for numeric variables with NA values (@brian-j-smith, #236).
New rset_reconstruct(), a developer tool to ease creation of new rset subclasses (#210).
Added permutations(), a function for creating permutation resamples by performing column-wise shuffling (@mattwarkentin, #198).
Fixed an issue where empty assessment sets couldn’t be created by make_splits() (#188).
rset objects now contain a “fingerprint” attribute that can be used to check to see if the same object uses the same resamples.
The reg_intervals() function is a convenience function for lm(), glm(), survreg(), and coxph() models (#206).
A few internal functions were exported so that rsample-adjacent packages can use the same underlying code.
The obj_sum() method for rsplit objects was updated (#215).
Changed the inheritance structure for rsplit objects from specific to general and simplified the methods for the complement() generic (#216).
New manual_rset() for constructing rset objects manually from custom rsplits (tidymodels/tune#273).
Three new time based resampling functions have been added: sliding_window(), sliding_index(), and sliding_period(), which have more flexibility than the pre-existing rolling_origin().
Correct alpha parameter handling for bootstrap CI functions (#179, #184).
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 0.0.4Small maintenance release.
fill() was removed per the deprecation warning.tibble.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.rsample 0.0.1 (2017-07-08)Initial public version on CRAN