NEWS.md
Changes to tests to get out of archive jail.
Updated the plumbing behind step_woe()
.
Due to a bug in tensorflow
, added a “warm start” to instigate a TF session if one does not currently exist.
dplyr
1.0.0step_discretize_xgb()
and step_discretize_cart()
can be used to convert numeric predictors to categorical using supervised binning methods based on tree models. Thanks to Konrad Semsch for the contribution.
Added step_feature_hash()
for creating dummy variables using feature hashing.
tidy.step_woe()
now has column names consistent with other recipe steps.embed
0.0.5The example data are now in the modeldata
package.
Small TF updates to step_embed()
.
embed
0.0.4Methods 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
.
embed
0.0.3step_umap()
was added for both supervised and unsupervised encodings.step_woe()
created weight of evidence encodings.embed
0.0.2A mostly maintainence release to be compatible with version 0.1.3 of recipes
.
The package now depends on the generics
pacakge to get the broom
tidy
methods.
Karim Lahrichi added the ability to use callbacks when fitting tensorflow models. PR