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| author | Marc Glisse <marc.glisse@inria.fr> | 2020-04-23 14:51:53 +0200 |
|---|---|---|
| committer | Marc Glisse <marc.glisse@inria.fr> | 2020-04-23 14:51:53 +0200 |
| commit | 031e6879f94503e5250c005f8cb71e581799d2f3 (patch) | |
| tree | 500c55f4b47a33b933f03ffad16b8c26df121830 /.github | |
| parent | 65f6ca41a9cd6574a0ca8fa9b781c787064fe4ed (diff) | |
| parent | e3f276ab5b7503ba7ce278fffbf73ebe66d6351c (diff) | |
Merge remote-tracking branch 'origin/master' into compute_persistence
Diffstat (limited to '.github')
| -rw-r--r-- | .github/next_release.md | 1 | ||||
| -rw-r--r-- | .github/test-requirements.txt | 1 |
2 files changed, 2 insertions, 0 deletions
diff --git a/.github/next_release.md b/.github/next_release.md index 3166b0a8..83b98a1c 100644 --- a/.github/next_release.md +++ b/.github/next_release.md @@ -9,6 +9,7 @@ Below is a list of changes made since GUDHI 3.1.1: - [Wassertein distance](https://gudhi.inria.fr/python/latest/wasserstein_distance_user.html) - An another implementation comes from Hera (BSD-3-Clause) which is based on [Geometry Helps to Compare Persistence Diagrams](http://doi.acm.org/10.1145/3064175) by Michael Kerber, Dmitriy Morozov, and Arnur Nigmetov. + - `gudhi.wasserstein.wasserstein_distance` has now an option to return the optimal matching that achieves the distance between the two diagrams. - [Module](link) - ... diff --git a/.github/test-requirements.txt b/.github/test-requirements.txt index 4f9dcefb..fb1df134 100644 --- a/.github/test-requirements.txt +++ b/.github/test-requirements.txt @@ -10,3 +10,4 @@ tensorflow torch pykeops hnswlib +eagerpy |