Tsfresh

Latest version: v0.21.0

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0.21.0

==============
- Breaking Change
- Drop support for python 3.7 and 3.8 (1100)
- Bugfixes/Typos/Documentation:
- Fix incompatibility with scipy versions 1.15 and higher by relying on the
``pywavelets`` package for cwt (1097)
- Improve code quality of feature extractors (1103)
- Improve developer experience with tox, bisect and docker (1093, 994, 1102)

0.20.3

==============
- Bugfixes/Typos/Documentation:
* Fixes issue 1073: Updated setup.cfg to require newer scipy version (1081)
* extract_relevant_features now passes chunksize to extract_features (1083)
* Fix code and tests for numpy >= 2.0 (1085)
* Update tsfresh.feature_extraction.feature_calculators.skewness to make it consistent with the design principle of not ignoring nan (1066)
* Fix spelling/grammar in pipeline notebook (1082)
* Added recommendation to revert thread limitations (1069)
* Fix the 01 example notebook to not leak information between train and test set
* Feature calculator return type documentation (1070)

0.20.2

==============
- 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)

0.20.1

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

- 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

0.20.0

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

- 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

0.19.0

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

- 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)
- Bump statsmodels to v0.13 (
- Updated references

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