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Easily create a baseline model #710

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lars-reimann opened this issue May 4, 2024 · 1 comment · Fixed by #811
Closed
2 tasks

Easily create a baseline model #710

lars-reimann opened this issue May 4, 2024 · 1 comment · Fixed by #811
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@sibre28
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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 May 4, 2024 •
edited by zogomii
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Is your feature request related to a problem?

It would be helpful to easily create a baseline model to have a point of reference that must be beaten by a specifically built model.

Desired solution

We should offer a means that trains various suitable ML models with default settings on the given data and returns the best. Maybe it should also apply basic transformations to the data (handle categorical data, handle missing data, standardize data, remove IDs).

We could create classes BaselineRegressor and BaselineClassifier that offer the usual Regressor/Classifier interface. Additionally, they should have a function to get the best model.

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@lars-reimann lars-reimann added the enhancement 💡 New feature or request label May 4, 2024
@github-project-automation github-project-automation bot moved this to Backlog in Library May 4, 2024
@sibre28 sibre28 mentioned this issue May 31, 2024
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@sibre28 sibre28 linked a pull request May 31, 2024 that will close this issue
feat: easily create a baseline model #811
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This was referenced Jun 14, 2024
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@github-project-automation github-project-automation bot moved this from Backlog to ✔️ Done in Library Jun 27, 2024
lars-reimann pushed a commit that referenced this issue Jul 19, 2024
@semantic-release-bot
chore(release): 0.27.0 [skip ci]
9ba23a4 
## [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
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🎉 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
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enhancement 💡 New feature or request released Included in a release
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feat: easily create a baseline model Safe-DS/Library
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