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feat: prediction no longer takes a time series dataset only table #838

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Gerhardsa0
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@Gerhardsa0 Gerhardsa0 commented Jun 12, 2024

Closes #837

Summary of Changes

Prediction no longer takes time series dataset.

Should the model really output the same datatype as the fit data (look abstract class InputConversion), for my Use Case I think it is more intuitive to output a Table instead of a TimeSeriesDataset.

@Gerhardsa0 Gerhardsa0 linked an issue Jun 12, 2024 that may be closed by this pull request
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@Gerhardsa0 Gerhardsa0 changed the title prediction no longer takes a time series dataset only table feat: prediction no longer takes a time series dataset only table and returns table Jun 12, 2024
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Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 97.65%. Comparing base (62320a3) to head (8180b00).
Report is 39 commits behind head on main.

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@@           Coverage Diff           @@
##             main     #838   +/-   ##
=======================================
  Coverage   97.65%   97.65%           
=======================================
  Files         119      119           
  Lines        6178     6185    +7     
=======================================
+ Hits         6033     6040    +7     
  Misses        145      145           

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@Gerhardsa0 Gerhardsa0 changed the title feat: prediction no longer takes a time series dataset only table and returns table feat: prediction no longer takes a time series dataset only table Jun 12, 2024
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@lars-reimann allowing Dataset as type for predict would take a deeper impact to the interface, as the table interface and Image the image interface also need to allow dataset as type. Is this wanted?

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Let's defer that change until later and only allow tables for now.

@Gerhardsa0 Gerhardsa0 merged commit 762e5c2 into main Jul 1, 2024
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@Gerhardsa0 Gerhardsa0 deleted the 837-feat-change-that-nn-takes-time-series-for-predict branch July 1, 2024 13:40
lars-reimann pushed a commit that referenced this pull request 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))
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🎉 This PR is included 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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feat: change that nn takes no time series for predict
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