From 5572f6a59390d389535925b8c68de429bc32861b Mon Sep 17 00:00:00 2001 From: ROUVREAU Vincent Date: Mon, 27 Jan 2020 09:42:35 +0100 Subject: Reset for next release --- next_release.md | 24 ++++++++---------------- 1 file changed, 8 insertions(+), 16 deletions(-) diff --git a/next_release.md b/next_release.md index 08b736b1..b85afdf5 100644 --- a/next_release.md +++ b/next_release.md @@ -1,27 +1,19 @@ -We are pleased to announce the release 3.1.0 of the GUDHI library. +We are pleased to announce the release 3.X.X 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). +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.X.X.tar.gz). -Below is a list of changes made since Gudhi 3.0.0: +Below is a list of changes made since Gudhi 3.1.0: -- [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. +- [Module](link) + - ... -- [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). +- [Module](link) + - ... - 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+). + - See the list of [bug fixes](https://github.com/GUDHI/gudhi-devel/issues?utf8=%E2%9C%93&q=is%3Aissue+label%3A3.X.X+). All modules are distributed under the terms of the MIT license. -- cgit v1.2.3