embed 0.1.4

• 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.

embed 0.1.3

• More changes to enable better parallel processing on windows.

embed 0.1.2

• Changes to enable better parallel processing on windows.

embed 0.1.1

• 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.

embed 0.1.0

• Changes for dplyr 1.0.0

New Steps

• step_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.

Breaking Changes

• tidy.step_woe() now has column names consistent with other recipe steps.

Bug fixes

• Fixed a bug in detecting the TF version.

embed 0.0.6

• Small changes for base R’s stringsAsFactors change.

embed 0.0.5

• The example data are now in the modeldata package.

• Small TF updates to step_embed().

embed 0.0.4

• 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.

embed 0.0.3

New Steps

• step_umap() was added for both supervised and unsupervised encodings.
• step_woe() created weight of evidence encodings.

embed 0.0.2

A mostly maintainence release to be compatible with version 0.1.3 of recipes.

Other Changes:

• 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

embed 0.0.1

First CRAN version