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author | Vincent Rouvreau <vincent.rouvreau@inria.fr> | 2022-08-12 17:57:39 +0200 |
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committer | Vincent Rouvreau <vincent.rouvreau@inria.fr> | 2022-08-12 17:57:39 +0200 |
commit | ee6df5c14853fae6a618c30c852cbd9fb829e4dc (patch) | |
tree | 6c770fd837048d87c2063c961a7b9d2952d3863e | |
parent | 9bff1146f5c90301a17341c01e7bf1b1268f65a7 (diff) |
Bad link for Cech
-rw-r--r-- | .github/next_release.md | 26 |
1 files changed, 13 insertions, 13 deletions
diff --git a/.github/next_release.md b/.github/next_release.md index 8e1e12da..26806de2 100644 --- a/.github/next_release.md +++ b/.github/next_release.md @@ -7,37 +7,37 @@ and weighted version for alpha complex in any dimension D. 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). For further information, please visit the [GUDHI web site](https://gudhi.inria.fr/). -# GUDHI 3.6.0rc1 Release Notes +# GUDHI 3.6.0rc2 Release Notes Below is a list of changes made since GUDHI 3.5.0: - TensorFlow 2 models that can handle automatic differentiation for the computation of persistence diagrams: - - [Cubical complex](https://gudhi.inria.fr/python/latest/cubical_complex_tflow_itf_ref.html) - - [lower-star persistence on simplex trees](https://gudhi.inria.fr/python/latest/ls_simplex_tree_tflow_itf_ref.html) - - [Rips complex](https://gudhi.inria.fr/python/latest/rips_complex_tflow_itf_ref.html) + - [Cubical complex](https://gudhi.inria.fr/python/3.6.0rc2/cubical_complex_tflow_itf_ref.html) + - [lower-star persistence on simplex trees](https://gudhi.inria.fr/python/3.6.0rc2/ls_simplex_tree_tflow_itf_ref.html) + - [Rips complex](https://gudhi.inria.fr/python/3.6.0rc2/rips_complex_tflow_itf_ref.html) -- [Cubical complex](https://gudhi.inria.fr/python/latest/cubical_complex_sklearn_itf_ref.html) +- [Cubical complex](https://gudhi.inria.fr/python/3.6.0rc2/cubical_complex_sklearn_itf_ref.html) - Cubical complex persistence scikit-learn like interface -- [Datasets](https://gudhi.inria.fr/python/latest/datasets.html) +- [Datasets](https://gudhi.inria.fr/python/3.6.0rc2/datasets.html) - `datasets.remote.fetch_bunny` and `datasets.remote.fetch_spiral_2d` allows to fetch datasets from [GUDHI-data](https://github.com/GUDHI/gudhi-data) -- [Alpha complex](https://gudhi.inria.fr/python/latest/alpha_complex_user.html) +- [Alpha complex](https://gudhi.inria.fr/python/3.6.0rc2/alpha_complex_user.html) - python weighted version for alpha complex is now available in any dimension D. - - `alpha_complex = gudhi.AlphaComplex(off_file='/data/points/tore3D_300.off')` is deprecated, please use [read_points_from_off_file](https://gudhi.inria.fr/python/latest/point_cloud.html#gudhi.read_points_from_off_file) instead. + - `alpha_complex = gudhi.AlphaComplex(off_file='/data/points/tore3D_300.off')` is deprecated, please use [read_points_from_off_file](https://gudhi.inria.fr/python/3.6.0rc2/point_cloud.html#gudhi.read_points_from_off_file) instead. -- [Edge collapse](https://gudhi.inria.fr/doc/latest/group__edge__collapse.html) +- [Edge collapse](https://gudhi.inria.fr/doc/3.6.0rc2/group__edge__collapse.html) - rewriting of the module to improve performance -- [Čech complex](https://gudhi.inria.fr/doc/latest/group__edge__collapse.html) +- [Čech complex](https://gudhi.inria.fr/doc/3.6.0rc2/group__cech__complex.html) - rewriting of the module to improve performance -- [Representations](https://gudhi.inria.fr/python/latest/representations.html#gudhi.representations.vector_methods.BettiCurve) +- [Representations](https://gudhi.inria.fr/python/3.6.0rc2/representations.html#gudhi.representations.vector_methods.BettiCurve) - A more flexible Betti curve class capable of computing exact curves -- [C++ documentation](https://gudhi.inria.fr/doc/latest/) +- [C++ documentation](https://gudhi.inria.fr/doc/3.6.0rc2/) - upgrade and improve performance with new doxygen features -- [Simplex tree](https://gudhi.inria.fr/python/latest/simplex_tree_ref.html) +- [Simplex tree](https://gudhi.inria.fr/python/3.6.0rc2/simplex_tree_ref.html) - `__deepcopy__`, `copy` and copy constructors for python module - `expansion_with_blockers` python interface |