Tsfresh

==============

- 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)

==============

- Breaking Change
- Fix the sorting of the parameters in the feature names (656)
The feature names consist of a sorted list of all parameters now.
That used to be true for all non-combiner features, and is now also true for combiner features.
If you relied on the actual feature name, this is a breaking change.
- Change the id after the rolling (668)
Now, the old id of your data is still kept. Additionally, we improved the way
dataframes without a time column are rolled and how the new sub-time series
are named.
Also, the documentation was improved a lot.
- Added Features
- Added variation coefficient (654)
- Added the datetimeindex explanation from the notebook to the docs (661)
- Optimize RelevantFeatureAugmenter to avoid re-extraction (669)
- Added a function `add_sub_time_series_index` (666)
- Added Dockerfile
- Speed optimizations and speed testing script (681)
- Bugfixes
- Increase the extracted `ar` coefficients to the full parameter range. (662)
- Documentation fixes (663, 664, 665)
- Rewrote the `sample_entropy` feature calculator (681)
It is now faster and (hopefully) more correct.
But your results will change!

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- Changelog and documentation fixes

==============

- Added Features
- Add count_above and count_below feature (632)
- Add convenience bindings for dask dataframes and pyspark dataframes (651)
- Bugfixes
- Fix documentation build and feature table in sphinx (637, 631, 627)
- Add scripts to API documentation
- Skip dask test for older python versions (649)
- Add missing distributor keyword (648)
- Fix tuple input for cwt (645)

==============

- Fix travis deployment