Tsfresh

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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)

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- 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

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- 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)

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- Fix travis deployment

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

- Breaking Change
- Replace Benjamini-Hochberg implementation with statsmodels implementation (570)
- Refactoring and Documentation
- travis.yml (605)
- gitignore (608)
- Fix docstring of c3 (590)
- Feature/pep8 (607)
- Added Features
- Improve test coverage (609)
- Add "autolag" parameter to augmented_dickey_fuller() (612)
- Bugfixes
- Feature/pep8 (607)
- Fix filtering on warnings with multiprocessing on Windows (610)
- Remove outdated logging config (621)
- Replace Benjamini-Hochberg implementation with statsmodels implementation (570)
- Fix the kernel and the naming of a notebook (626)