Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Sequential table transformer #802

Closed
lars-reimann opened this issue May 28, 2024 · 1 comment · Fixed by #893
Closed

Sequential table transformer #802

lars-reimann opened this issue May 28, 2024 · 1 comment · Fixed by #893
Assignees
Labels
enhancement 💡 New feature or request lab Suitable for the lab released Included in a release team1

Comments

@lars-reimann
Copy link
Member

lars-reimann commented May 28, 2024

Is your feature request related to a problem?

It's annoying to fit multiple transformers or sequentially transform a table using multiple transformers. This is also a very common operation.

Desired solution

New class SequentialTableTransformer.

  • Superclass: InvertibleTableTransformer
  • Constructor parameters:
    • transformers: list[TableTransformer]
  • fit:
    • Fit the first transformer with the given table
    • Transform the table with the first transformer and fit the second transformer with the transformed table
    • Repeat for the following transformers
  • transform:
    • Transform the table with the first transformer
    • Transform the result with the second transformer
    • Repeat for the following transformers
  • inverse_transform:
    • Raise an error if any transformer is not invertible
    • Inverse-transform the table with the last transformer
    • Inverse-transform the result with the second-to-last transformer
    • Repeat for the following transformers

Possible alternatives (optional)

No response

Screenshots (optional)

No response

Additional Context (optional)

No response

@lars-reimann lars-reimann added enhancement 💡 New feature or request lab Suitable for the lab labels May 28, 2024
@RobinSen28 RobinSen28 reopened this Jul 5, 2024
@RobinSen28 RobinSen28 linked a pull request Jul 5, 2024 that will close this issue
lars-reimann pushed a commit that referenced this issue Jul 19, 2024
## [0.27.0](v0.26.0...v0.27.0) (2024-07-19)

### Features

*  join ([#870](#870)) ([5764441](5764441)), closes [#745](#745)
* activation function for forward layer ([#891](#891)) ([5b5bb3f](5b5bb3f)), closes [#889](#889)
* add `ImageDataset.split` ([#846](#846)) ([3878751](3878751)), closes [#831](#831)
* add FunctionalTableTransformer ([#901](#901)) ([37905be](37905be)), closes [#858](#858)
* add InvalidFitDataError ([#824](#824)) ([487854c](487854c)), closes [#655](#655)
* add KNearestNeighborsImputer ([#864](#864)) ([fcdfecf](fcdfecf)), closes [#743](#743)
* add moving average plot ([#836](#836)) ([abcf68a](abcf68a))
* add RobustScaler ([#874](#874)) ([62320a3](62320a3)), closes [#650](#650) [#873](#873)
* add SequentialTableTransformer ([#893](#893)) ([e93299f](e93299f)), closes [#802](#802)
* add temporal operations ([#832](#832)) ([06eab77](06eab77))
* added 'histogram_2d' in TablePlotter  ([#903](#903)) ([4e65ba9](4e65ba9)), closes [#869](#869) [#798](#798)
* added from_str_to_temporal and continues prediction ([#767](#767)) ([35f468a](35f468a)), closes [#806](#806) [#765](#765) [#740](#740) [#773](#773)
* added GRU layer ([#845](#845)) ([d33cb5d](d33cb5d))
* Adds Dropout Layer ([#868](#868)) ([a76f0a1](a76f0a1)), closes [#848](#848)
* dark mode for plots ([#911](#911)) ([5447551](5447551)), closes [#798](#798)
* easily create a baseline model ([#811](#811)) ([8e1b995](8e1b995)), closes [#710](#710)
* get first cell with value other than `None` ([#904](#904)) ([5a0cdb3](5a0cdb3)), closes [#799](#799)
* hyperparameter optimization for fnn models ([#897](#897)) ([c1f66e5](c1f66e5)), closes [#861](#861)
* implement violin plots ([#900](#900)) ([9f5992a](9f5992a)), closes [#867](#867)
* plot decision tree ([#876](#876)) ([d3f81dc](d3f81dc)), closes [#856](#856)
* prediction no longer takes a time series dataset only table ([#838](#838)) ([762e5c2](762e5c2)), closes [#837](#837)
* raise if `remove_colums` is called with unknown column by default ([#852](#852)) ([8f78163](8f78163)), closes [#807](#807)
* regularization strength for logistic classifier ([#866](#866)) ([9f74e92](9f74e92)), closes [#750](#750)
* reorders parameters of RangeScaler and makes them keyword-only ([#847](#847)) ([2b82db7](2b82db7)), closes [#809](#809)
* replace seaborn with matplotlib for box_plot ([#863](#863)) ([4ef078e](4ef078e)), closes [#805](#805) [#849](#849)
* replaced seaborn with matplotlib for correlation_heatmap ([#850](#850)) ([d4680d4](d4680d4)), closes [#800](#800) [#849](#849)

### Bug Fixes

* **deps:** bump urllib3 from 2.2.1 to 2.2.2 ([#842](#842)) ([b81bcd6](b81bcd6)), closes [#3122](https://github.com/Safe-DS/Library/issues/3122) [#3363](https://github.com/Safe-DS/Library/issues/3363) [#3122](https://github.com/Safe-DS/Library/issues/3122) [#3363](https://github.com/Safe-DS/Library/issues/3363) [#3406](https://github.com/Safe-DS/Library/issues/3406) [#3398](https://github.com/Safe-DS/Library/issues/3398) [#3399](https://github.com/Safe-DS/Library/issues/3399) [#3396](https://github.com/Safe-DS/Library/issues/3396) [#3394](https://github.com/Safe-DS/Library/issues/3394) [#3391](https://github.com/Safe-DS/Library/issues/3391) [#3316](https://github.com/Safe-DS/Library/issues/3316) [#3387](https://github.com/Safe-DS/Library/issues/3387) [#3386](https://github.com/Safe-DS/Library/issues/3386)
* labels of correlation heatmap ([#894](#894)) ([a88a609](a88a609)), closes [#871](#871)
* make multi-processing in baseline models more consistent ([#909](#909)) ([fa24560](fa24560)), closes [#907](#907)

### Performance Improvements

* improved performance in various methods in `Image` and `ImageList` ([#879](#879)) ([134e7d8](134e7d8))
@lars-reimann
Copy link
Member Author

🎉 This issue has been resolved in version 0.27.0 🎉

The release is available on:

Your semantic-release bot 📦🚀

@lars-reimann lars-reimann added the released Included in a release label Jul 19, 2024
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
enhancement 💡 New feature or request lab Suitable for the lab released Included in a release team1
Projects
Status: ✔️ Done
Development

Successfully merging a pull request may close this issue.

5 participants