plot.correlation_heatmap with matplotlib
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## [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 issue has been resolved in version 0.27.0 🎉 The release is available on:
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plot.correlation_heatmapis the last plot method that still uses seaborn. It should be rewritten using matplotlib, so we can remove the dependency on seaborn.The text was updated successfully, but these errors were encountered: