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feat: added from_str_to_temporal and continues prediction #767
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now the plots can make use of the date format, see test_lineplot
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For now, that's not needed. A column already has a method |
https://github.com/Safe-DS/Library into 765-feat-add-temporal-operations # Conflicts: # src/safeds/ml/nn/converters/_output_converter_time_series.py # tests/safeds/data/labeled/containers/_time_series_dataset/test_into_dataloader.py
pls do not merge right now, I also work on a tutorial on this branch I have a problem here with also inverting the predictions from the neural network, I can only invert my test data. |
…' into 765-feat-add-temporal-operations
I've reverted this to a draft for the time being. |
…at-add-temporal-operations
will work on the plot tmrw prediction now just overwrites the target column dates from str is still implemented
added multiple columns plot, note that this is a demo, as I have some questions
…at-add-temporal-operations
@lars-reimann right now, the line plot creates a confidence interval for the y column. Is there a use case for that, when there are multiple columns plotted, because it can make the plot messy. What would be preferred usage? I have a demo implementation in table_plotter compare_plot. |
…' into 765-feat-add-temporal-operations
prediction for example is right now bad
…at-add-temporal-operations # Conflicts: # docs/tutorials/classification.ipynb # docs/tutorials/convolutional_neural_network_for_image_classification.ipynb # docs/tutorials/machine_learning.ipynb # tests/safeds/ml/nn/converters/test_input_converter_time_series.py # tests/safeds/ml/nn/test_lstm_workflow.py
reworked tutorial
…' into 765-feat-add-temporal-operations
is not a avaible for a while and comment is outdated
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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))
🎉 This PR is included in version 0.27.0 🎉 The release is available on:
Your semantic-release bot 📦🚀 |
now we can store dates as dates and the plots can make use of the date format, see test_lineplot.
Closes #806
Closes #765
Closes #740
Closes #773
Summary of Changes
removed time name from time series class
added time series tutorial
added multiple columns for line plot and scatter plot
added temporal data interface and temporal operations, also added legend to these plots
added continuous prediction
some refactoring and fixes