Changes in version 1.0.3.9000                      

  - Added a new article explaining how over_ratio and under_ratio work
    (#141).

  - All upsampling steps gain an indicator_column argument. When set, a
    logical column is added to the baked data marking rows added by the
    step (TRUE) vs rows from the original data (FALSE). For step_rose(),
    all rows are TRUE since ROSE generates a fully synthetic dataset
    (#58).

  - step_rose() and rose() now have improved documentation for
    minority_prop, clarifying that it controls the proportion of
    synthetic observations from the minority class, and how it differs
    from over_ratio (#144).

  - Added standalone rose() function as a thin wrapper around
    ROSE::ROSE(), making it consistent with the other algorithms in the
    package that expose a direct implementation alongside their recipe
    step (#195).

  - step_nearmiss() and step_tomek() gain a distance_with argument to
    control which variables are used for distance calculations. This
    allows the steps to be used when non-numeric predictor variables are
    present in the data (#166).

  - step_adasyn(), step_bsmote(), step_nearmiss(), step_smote(), and
    step_smotenc() now document the minimum number of observations
    needed to perform the algorithm (#104).

  - All step_*() functions now correctly handle 0 and 1 row inputs in
    bake() (#160).

  - adasyn(), bsmote(), nearmiss(), smote(), and tomek() now correctly
    attribute errors from non-numeric columns to the user-facing
    function (#181).

  - smotenc() now only suppresses the specific benign warning from
    gower::gower_topn() about variables with zero range, rather than all
    warnings (#182).

  - bsmote() now correctly passes the all_neighbors argument to the
    underlying implementation (#176).

  - step_bsmote() now works correctly when there is only a single
    predictor (#151).

  - step_downsample() and step_upsample() now correctly handle NA values
    in the outcome variable instead of erroring (#177).

                 Changes in version 1.0.3 (2025-01-22)                  

Improvements

  - Calling ?tidy.step_*() now sends you to the documentation for
    step_*() where the outcome is documented. (#142)

  - Documentation now correctly specifies majority-to-minority and
    minority-to-majority. (#143, #110)

  - Documentation for tidy methods for all steps has been improved to
    describe the return value more accurately. (#148)

  - All messages, warnings and errors has been translated to use {cli}
    package (#153, #155).

                 Changes in version 1.0.2 (2023-08-14)                  

Improvements

  - Many internal changes to improve consistency and slight speed
    increases.

                 Changes in version 1.0.1 (2023-04-14)                  

Improvements

  - Fixed bug where some upsampling functions would error if no
    upsampling was needed. (#119)

  - Steps with tunable arguments now have those arguments listed in the
    documentation.

                 Changes in version 1.0.0 (2022-07-02)                  

  - Added case weights support for step_upsample() and step_downsample()

                 Changes in version 0.2.2 (2022-05-11)                  

  - tomek() has been added, rewritten to apply to multiple classes,
    removing the need for the unbalanced package, which has been removed
    as a dependency.

                 Changes in version 0.2.1 (2022-04-13)                  

  - A bug was fixed in step_downsample() and step_upsample() that made
    the steps unable to be tuned. (#90)

                 Changes in version 0.2.0 (2022-03-30)                  

New steps

  - step_smotenc() have been added to implement SMOTENC which can handle
    categorical as well as numerical values. Thanks to @RobertGregg
    (#82)

Improvements and Other Changes

  - export nearmiss() functions to users.
  - Update examples to no longer use iris or okc data sets.
  - All recipe steps now officially support empty selections to be more
    aligned with dplyr and other packages that use tidyselect (#55)

Bug fixes

  - step_rose() now correctly allows you to use characters variables.
    (#26)
  - step_tomek() now ignore non-predictor variables when appropriate.
    (#51)
  - Fix bug where wrong ordering of columns caused error in smote().
    (#76)

                 Changes in version 0.1.4 (2021-06-12)                  

  - export smote(), adasyn(), and bsmote() functions to users.

                 Changes in version 0.1.3 (2020-11-12)                  

  - Steps that use nearest neighbors gives cleaner errors.

                 Changes in version 0.1.2 (2020-08-14)                  

  - tuneable steps now properly work with tune package.
  - Steps now Retain original factor level ordering. (#22)
  - Oversampling steps now ignore non-predictor variables when
    appropriate. (#20)

                 Changes in version 0.1.1 (2020-05-17)                  

  - step_smote() now work regardless of order of classes. Thanks to
    @sebastien-foulle for point it out #14.

                 Changes in version 0.1.0 (2020-01-13)                  

  - Added a NEWS.md file to track changes to the package.