Skip to content

Commit

Permalink
Merge pull request #678 from VincentRouvreau/release_3_6_0
Browse files Browse the repository at this point in the history
Release 3 6 0
  • Loading branch information
VincentRouvreau authored Aug 16, 2022
2 parents 7232cbf + 879055d commit de8bd51
Show file tree
Hide file tree
Showing 3 changed files with 15 additions and 15 deletions.
28 changes: 14 additions & 14 deletions .github/next_release.md
Original file line number Diff line number Diff line change
@@ -1,4 +1,4 @@
We are pleased to announce the release 3.6.0.rc1 of the GUDHI library.
We are pleased to announce the release 3.6.0 of the GUDHI library.

As a major new feature, the GUDHI library now offers automatic differentiation for the computation of
persistence diagrams, Cubical complex persistence scikit-learn like interface, datasets fetch methods,
Expand All @@ -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 3.6.0rc2 Release Notes
# GUDHI 3.6.0 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/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_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_sklearn_itf_ref.html)
- [Cubical complex](https://gudhi.inria.fr/python/latest/cubical_complex_sklearn_itf_ref.html)
- Cubical complex persistence scikit-learn like interface

- [Datasets](https://gudhi.inria.fr/python/3.6.0rc2/datasets.html)
- [Datasets](https://gudhi.inria.fr/python/latest/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/3.6.0rc2/alpha_complex_user.html)
- [Alpha complex](https://gudhi.inria.fr/python/latest/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/3.6.0rc2/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/latest/point_cloud.html#gudhi.read_points_from_off_file) instead.

- [Edge collapse](https://gudhi.inria.fr/doc/3.6.0rc2/group__edge__collapse.html)
- [Edge collapse](https://gudhi.inria.fr/doc/latest/group__edge__collapse.html)
- rewriting of the module to improve performance

- [Čech complex](https://gudhi.inria.fr/doc/3.6.0rc2/group__cech__complex.html)
- [Čech complex](https://gudhi.inria.fr/doc/latest/group__cech__complex.html)
- rewriting of the module to improve performance

- [Representations](https://gudhi.inria.fr/python/3.6.0rc2/representations.html#gudhi.representations.vector_methods.BettiCurve)
- [Representations](https://gudhi.inria.fr/python/latest/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/3.6.0rc2/)
- [C++ documentation](https://gudhi.inria.fr/doc/latest/)
- upgrade and improve performance with new doxygen features

- [Simplex tree](https://gudhi.inria.fr/python/3.6.0rc2/simplex_tree_ref.html)
- [Simplex tree](https://gudhi.inria.fr/python/latest/simplex_tree_ref.html)
- `__deepcopy__`, `copy` and copy constructors for python module
- `expansion_with_blockers` python interface

Expand Down
2 changes: 1 addition & 1 deletion CMakeGUDHIVersion.txt
Original file line number Diff line number Diff line change
Expand Up @@ -2,7 +2,7 @@
set (GUDHI_MAJOR_VERSION 3)
set (GUDHI_MINOR_VERSION 6)
# GUDHI_PATCH_VERSION can be 'ZaN' for Alpha release, 'ZbN' for Beta release, 'ZrcN' for release candidate or 'Z' for a final release.
set (GUDHI_PATCH_VERSION 0rc2)
set (GUDHI_PATCH_VERSION 0)
set(GUDHI_VERSION ${GUDHI_MAJOR_VERSION}.${GUDHI_MINOR_VERSION}.${GUDHI_PATCH_VERSION})

message(STATUS "GUDHI version : ${GUDHI_VERSION}")
Binary file added src/python/doc/img/tensorflow.png
Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.

0 comments on commit de8bd51

Please sign in to comment.