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importFrom
by ::
.multi_strata()
provides a vector of stratification
groups based on a data frame that can be then passed to
partition()
or create_folds()
. Each
stratification group will contain “similar” data rows, where similarity
is either based on a kmeans cluster analysis or forming all combinations
of binned columns. Thanks to kapsner for the idea and the help
with the implementation.This is documentation and maintenance update only with the following changes:
create_folds()
creates in-sample indices by default. If out-of-sample indices are to be
generated, set invert = TRUE
.create_folds
and partition
have received a
shuffle
option to shuffle rows within folds/partitions. The
default is FALSE.create_folds
and partition
cannot return
empty folds/partitions anymore. This impacts only extremely small data
sets.create_timefolds
now allows also moving windows
training data, not just extending windows data.Reduced minimally required R version from 3.5 to 3.1.
Added type = "blocked"
to create_folds
and partition
to allow for blocked splitting.
Added function create_timefolds
for cross-validation
of time series data.
Added vignette
This is the initial CRAN release.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.