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 maintenence 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