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Normalize Table #141

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lars-reimann opened this issue Apr 1, 2023 · 1 comment · Fixed by #310
Closed

Normalize Table #141

lars-reimann opened this issue Apr 1, 2023 · 1 comment · Fixed by #310
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enhancement 💡 New feature or request released Included in a release

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@lars-reimann
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lars-reimann commented Apr 1, 2023

Is your feature request related to a problem?

Normalization mean to shift and squeeze the data into the interval [0, 1]. More generally, we can do that for any interval [minimum, maximum].

Desired solution

  • Add a class RangeScaler in safeds.data.tabular.transformation that wraps the MinMaxScaler of scikit-learn
  • Make it a subclass of InvertibleTableTransformer
  • Add two parameters to the __init__ method to set the minimum (float, default 0.0) and maximum (float, default 1.0).
  • Raise a value error if minimum >= maximum.
@lars-reimann lars-reimann added the enhancement 💡 New feature or request label Apr 1, 2023
@github-project-automation github-project-automation bot moved this to Backlog in Library Apr 1, 2023
@zzril zzril moved this from Backlog to Todo in Library May 19, 2023
@zzril zzril moved this from Todo to In Progress in Library May 19, 2023
@zzril zzril linked a pull request May 19, 2023 that will close this issue
@zzril zzril moved this from In Progress to Ready for Review in Library May 19, 2023
robmeth pushed a commit that referenced this issue May 19, 2023
Closes #141.

### Summary of Changes

* Added new class `RangeScaler` in `tabular/transformation`.
* Added tests.

Co-authored-by: sibre28 <[email protected]>

---------

Co-authored-by: Simon <[email protected]>
Co-authored-by: megalinter-bot <[email protected]>
@github-project-automation github-project-automation bot moved this from Ready for Review to ✔️ Done in Library May 19, 2023
lars-reimann pushed a commit that referenced this issue Jun 1, 2023
## [0.13.0](v0.12.0...v0.13.0) (2023-06-01)

### Features

* add `Choice` class for possible values of hyperparameter ([#325](#325)) ([d511c3e](d511c3e)), closes [#264](#264)
* Add `RangeScaler` transformer ([#310](#310)) ([f687840](f687840)), closes [#141](#141)
* Add methods that tell which columns would be affected by a transformer ([#304](#304)) ([3933b45](3933b45)), closes [#190](#190)
* Getters for hyperparameters of Regression and Classification models ([#306](#306)) ([5c7a662](5c7a662)), closes [#260](#260)
* improve error handling of table ([#308](#308)) ([ef87cc4](ef87cc4)), closes [#147](#147)
* Remove warnings thrown in new `Transformer` methods ([#324](#324)) ([ca046c4](ca046c4)), closes [#323](#323)
@lars-reimann
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🎉 This issue has been resolved in version 0.13.0 🎉

The release is available on:

Your semantic-release bot 📦🚀

@lars-reimann lars-reimann added the released Included in a release label Jun 1, 2023
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