From 67140349a96ad4c74a479459e99672d72ce513d1 Mon Sep 17 00:00:00 2001 From: "akem134@elan" Date: Thu, 22 Dec 2022 22:01:23 +1300 Subject: [PATCH] Bumversion 0.20.0 --- AUTHORS.rst | 2 ++ CHANGES.rst | 10 ++++++++++ README.md | 11 +++++++++-- 3 files changed, 21 insertions(+), 2 deletions(-) diff --git a/AUTHORS.rst b/AUTHORS.rst index 1929bdfc..f31de825 100644 --- a/AUTHORS.rst +++ b/AUTHORS.rst @@ -51,3 +51,5 @@ Contributions - Dimitris Spathis - Filip Malkowski - George Wambold +- Brunno Vanelli +- Maximilian Lohmann diff --git a/CHANGES.rst b/CHANGES.rst index dd70bd81..de3d7988 100644 --- a/CHANGES.rst +++ b/CHANGES.rst @@ -4,6 +4,16 @@ Changelog tsfresh uses `Semantic Versioning `_ +Version 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 + Version 0.19.0 ============== diff --git a/README.md b/README.md index 47d3686c..a7c822e2 100644 --- a/README.md +++ b/README.md @@ -121,14 +121,21 @@ If you are interested in the technical workings, go to see our comprehensive Rea The algorithm, especially the filtering part are also described in the paper mentioned above. -If you have some questions or feedback you can find the developers in the [gitter chatroom.](https://gitter.im/tsfresh/Lobby?utm_source=share-link&utm_medium=link&utm_campaign=share-link) - We appreciate any contributions, if you are interested in helping us to make *TSFRESH* the biggest archive of feature extraction methods in python, just head over to our [How-To-Contribute](http://tsfresh.readthedocs.io/en/latest/text/how_to_contribute.html) instructions. If you want to try out `tsfresh` quickly or if you want to integrate it into your workflow, we also have a docker image available: docker pull nbraun/tsfresh + +## Backwards compatibility + +If you need to reproduce or update time-series features, which were computed with the `matrixprofile` feature calculators, you need to create a Python 3.8 environment: + + conda create --name tsfresh__py_3.8 python=3.8 + conda activate tsfresh__py_3.8 + pip install tsfresh[matrixprofile] + ## Acknowledgements The research and development of *TSFRESH* was funded in part by the German Federal Ministry of Education and Research under grant number 01IS14004 (project iPRODICT).