- Small changes for base R's
stringsAsFactors
change.
-
The example data are now in the
modeldata
package. -
Small TF updates to
step_embed()
.
-
Methods were added for a future generic called
tunable()
. This outlines which parameters in a step can/could be tuned. -
Small updates to work with different versions of
tidyr
.
step_umap()
was added for both supervised and unsupervised encodings.step_woe()
created weight of evidence encodings.
A mostly maintainence release to be compatible with version 0.1.3 of recipes
.
-
The package now depends on the
generics
pacakge to get thebroom
tidy
methods. -
Karim Lahrichi added the ability to use callbacks when fitting tensorflow models. PR
First CRAN version