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authorGard Spreemann <gspr@nonempty.org>2020-02-07 18:01:58 +0100
committerGard Spreemann <gspr@nonempty.org>2020-02-07 18:01:58 +0100
commit81816dae256a9f3c0653b1d21443c3c32da7a974 (patch)
tree744e6821d9d0f37ff91067a5556496335d353bb4 /next_release.md
parentfb6e4ca215fc814e74873852f63af028abcc5c17 (diff)
parentcbe3d0d2b16e19048928ae308851c4312cca42c8 (diff)
Merge tag 'tags/gudhi-release-3.1.1' into dfsg/latest
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-We are pleased to announce the release 3.1.0 of the GUDHI library.
-
-As a major new feature, the GUDHI library now offers 2 new Python modules: Persistence representations and Wasserstein distance.
-
-We are now using GitHub to develop the GUDHI library, do not hesitate to [fork the GUDHI project on GitHub](https://github.com/GUDHI/gudhi-devel). From a user point of view, we recommend to download GUDHI user version (gudhi.3.1.0.rc1.tar.gz).
-
-Below is a list of changes made since Gudhi 3.0.0:
-
-- [Persistence representations](https://gudhi.inria.fr/python/3.1.0.rc1/representations.html) (new Python module)
- - Vectorizations, distances and kernels that work on persistence diagrams, compatible with scikit-learn. This module was originally available at https://github.com/MathieuCarriere/sklearn-tda and named sklearn_tda.
-
-- [Wasserstein distance](https://gudhi.inria.fr/python/3.1.0.rc1/wasserstein_distance_user.html) (new Python module)
- - The q-Wasserstein distance measures the similarity between two persistence diagrams.
-
-- [Alpha complex](https://gudhi.inria.fr/doc/3.1.0.rc1/group__alpha__complex.html) (new C++ interface)
- - Thanks to [CGAL 5.0 Epeck_d](https://doc.cgal.org/latest/Kernel_d/structCGAL_1_1Epeck__d.html) kernel, an exact computation version of Alpha complex dD is available and the default one (even in Python).
-
-- [Persistence graphical tools](https://gudhi.inria.fr/python/3.1.0.rc1/persistence_graphical_tools_user.html) (new Python interface)
- - Axes as a parameter allows the user to subplot graphics.
- - Use matplotlib default palette (can be user defined).
-
-- Miscellaneous
- - Python `read_off` function has been renamed `read_points_from_off_file` as it only reads points from OFF files.
- - See the list of [bug fixes](https://github.com/GUDHI/gudhi-devel/issues?utf8=%E2%9C%93&q=is%3Aissue+label%3A3.1.0+).
+gudhi-3.1.1 is a bug-fix release. In particular, it fixes the installation of the Python representation module.
+The [list of bugs that were solved since gudhi-3.1.0](https://github.com/GUDHI/gudhi-devel/issues?q=label%3A3.1.1+is%3Aclosed) is available on GitHub.
All modules are distributed under the terms of the MIT license.
However, there are still GPL dependencies for many modules. We invite you to check our [license dedicated web page](https://gudhi.inria.fr/licensing/) for further details.
@@ -33,4 +11,4 @@ We provide [bibtex entries](https://gudhi.inria.fr/doc/latest/_citation.html) fo
Feel free to [contact us](https://gudhi.inria.fr/contact/) in case you have any questions or remarks.
-For further information about downloading and installing the library ([C++](https://gudhi.inria.fr/doc/3.1.0.rc1/installation.html) or [Python](https://gudhi.inria.fr/python/3.1.0.rc1/installation.html)), please visit the [GUDHI web site](https://gudhi.inria.fr/).
+For further information about downloading and installing the library ([C++](https://gudhi.inria.fr/doc/3.1.1/installation.html) or [Python](https://gudhi.inria.fr/python/3.1.1/installation.html)), please visit the [GUDHI web site](https://gudhi.inria.fr/).