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Releases: tidymodels/themis

themis 1.0.2

17 Aug 21:28
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Improvements

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

themis 1.0.1

14 Apr 23:07
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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.

themis 1.0.0

02 Jul 17:41
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  • Added case weights support for step_upsample() and step_downsample()

themis 0.2.2

11 May 22:30
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  • tomek() has been added, rewritten to apply to multiple classes, removing the need for the unbalanced package, which has been removed as a dependency.

themis 0.2.1

13 Apr 18:51
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  • A bug was fixed in step_downsample() and step_upsample() that made the steps unable to be tuned. (#90)

themis 0.2.0

30 Mar 15:14
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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)

themis 0.1.4

12 Jun 21:14
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  • export smote(), adasyn(), and bsmote() functions to users.

themis 0.1.3

12 Nov 07:10
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  • Steps that use nearest neighbors gives cleaner errors.

themis 0.1.2

14 Aug 18:32
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  • tuneable steps now properly work with tune package.
  • Steps now Retain original factor level ordering. (#22)
  • Oversampling steps now ignore non-predictor variables when appropiate. (#20)

themis 0.1.1

17 May 07:33
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  • step_smote() now work regardless of order of classes. Thanks to @sebastien-foulle for point it out #14.