NEWS.md
Minor release with changes to test for cases when CRAN cannot get xgboost to work on their Solaris configuration.
lme4 and rstanarm are now in the Suggests list so they are not automatically installed with embed. A message is written to the console if those packages are missing and their associated steps functions are invoked.
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