recipes 0.1.16

New Steps

• Added a new step called step_indicate_na(), which will create and append additional binary columns to the data set to indicate which observations are missing (#623).

• Added new step_select() (#199).

Bug Fixes

• The threshold argument of step_pca() is now tunable() (#534).

• Integer variables used in step_profile() are now kept as integers (and not doubles).

• Preserve multiple roles in last_term_info so bake() can correctly respond to has_roles. (#632)

• Fixed behavior of the retain flag in prep() (#652).

• The tidy() methods for step_nnmf() was rewritten since it was not great (#665), and step_nnmf() now no longer fully loads underlying packages (#685).

Improvements and Other Changes

• Two new selectors that combine role and data type were added: all_numeric_predictors() and all_nominal_predictors(). (#620)

• Changed the names of all imputation steps, for example, from step_knnimpute() or step_medianimpute() (old) to step_impute_knn() or step_impute_median() (new) (#614).

• Added keep_original_cols argument to several steps:

  • step_pca(), step_ica(), step_nnmf(), step_kpca_rbf(), step_kpca_poly(), step_pls(), step_isomap() which all default to FALSE (#635).
  • step_ratio(), step_holiday(), step_date() which all default to TRUE to maintain original behavior, as well as step_dummy() which defaults to FALSE (#645).

• Added allow_rename argument to eval_select_recipes() (#646).

• Performance improvements for step_bs() and step_ns(). The prep() step no longer evaluates the basis functions on the training set and the bake() steps only evaluates the basis functions once for each unique input value (#574)

• The neighbors parameter's default range for step_isomap() was changed to be 20-80.

• The deprecation for step_upsample() and step_downsample() has been escalated from a soft deprecation to a regular deprecation; these functions are available in the themis package.

• Re-licensed package from GPL-2 to MIT. See consent from copyright holders here.