Tsfresh

- Added Features
- Make Dask and Distributed optional dependencies (1061)
- View and Set N Jobs (1029)

- Bugfixes/Typos/Documentation:
- Extra notes on parallelization efficiencies (1046)
- Update doc extraction settings for clarity and formatting (1033)
- Typos (1031, 1034, 1049, 1048)

- Added Features
- Make tsfresh compatible with numpy 1.24 (1018) and pandas 2.0 (1028)

- Bugfixes/Typos/Documentation:
- Use pandas Index.equals in check_if_pandas_series (963)
- Updates to package layout, CI/CD and developer setup

- Breaking Change
- The matrixprofile package becomes an optional dependency

- Bugfixes/Typos/Documentation:
- Fix feature extraction of Friedrich coefficients for pandas>1.3.5
- Fix file paths after example notebooks were moved

- Breaking Change
- Drop Python 3.6 support due to dependency on statsmodels 0.13

- Added Features
- Improve documentation (831, 834, 851, 853, 870)
- Add absolute_maximum and mean_n_absolute_max features (833)
- Make settings pickable (845, 847, 910)
- Disable multiprocessing for `n_jobs=1` (852)
- Add black, isort, and pre-commit (876)

- Bugfixes/Typos/Documentation:
- Fix conversion of time-series into sequence for lempel_ziv_complexity (806)
- Fix range count config (827)
- Reword documentation (893)
- Fix statsmodels deprecation issues (898, 912)
- Fix typo in requirements (903)
- Updated references

* Added Features
* Allow arbitrary rolling sizes (766)
* Allow for multiclass significance tests (762)
* Add multiclass option to RelevantFeatureAugmenter (782)
* Addition of matrix_profile feature (793)
* Added new query similarity counter feature (798)
* Add root mean square feature (813)

* Bugfixes/Typos/Documentation:
* Do not send coverage of notebook tests to codecov (759)
* Fix typos in notebook (757, 780)
* Fix output format of `make_forecasting_frame` (758)
* Fix badges and remove benchmark test
* Fix BY notebook plot (760)
* Ts forecast example improvement (763)
* Also surpress warnings in dask (769)
* Update relevant_feature_augmenter.py (779)
* Fix column names in quick_start.rst (778)
* Improve relevance table function documentation (781)
* Fixed 789 Typo in "how to add custom feature" (790)
* Convert to the correct type on warnings (799)
* Fix minor typos in the docs (802)
* Add unwanted filetypes to gitignore (819)
* Fix build and test failures (815)
* Fix imputing docu (800)
* Bump the scikit-learn version (822)

We changed the default branch from "master" to "main".

- Breaking Change
- Changed constructed id in roll_time_series from string to tuple (700)
- Same for add_sub_time_series_index (720)
- Added Features
- Implemented the Lempel-Ziv-Complexity and the Fourier Entropy (688)
- Prevent 524 by adding an assert for common identifiers (690)
- Added permutation entropy (691)
- Added a logo :-) (694)
- Implemented the benford distribution feature (689)
- Reworked the notebooks (701, 704)
- Speed up the result pivoting (705)
- Add a test for the dask bindings (719)
- Refactor input data iteration to need less memory (707)
- Added benchmark tests (710)
- Make dask a possible input format (736)
- Bugfixes:
- Fixed a bug in the selection, that caused all regression tasks with un-ordered index to be wrong (715)
- Fixed readthedocs (695, 696)
- Fix spark and dask after 705 and for non-id named id columns (712)
- Fix in the forecasting notebook (729)
- Let tsfresh choose the value column if possible (722)
- Move from coveralls github action to codecov (734)
- Improve speed of data processing (735)
- Fix for newer, more strict pandas versions (737)
- Fix documentation for feature calculators (743)