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| author | Marc Glisse <marc.glisse@inria.fr> | 2020-04-14 19:49:49 +0200 |
|---|---|---|
| committer | Marc Glisse <marc.glisse@inria.fr> | 2020-04-14 19:49:49 +0200 |
| commit | 3f1e4bf5f139afe887ae501f20c5d3f40b5a6f79 (patch) | |
| tree | 936aa887b1e7a0e23854262f17a5d21cf2f604c1 /.github | |
| parent | 9518287cfa2a62948ede2e7d17d5c9f29092e0f4 (diff) | |
| parent | 6d02ca0e077cc9750275abdfc024429cec0ba5a5 (diff) | |
Merge remote-tracking branch 'origin/master' into dtm
Diffstat (limited to '.github')
| -rw-r--r-- | .github/next_release.md | 1 | ||||
| -rw-r--r-- | .github/test-requirements.txt | 6 |
2 files changed, 6 insertions, 1 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 18882792..fb1df134 100644 --- a/.github/test-requirements.txt +++ b/.github/test-requirements.txt @@ -6,4 +6,8 @@ matplotlib scipy scikit-learn POT -tensorflow
\ No newline at end of file +tensorflow +torch +pykeops +hnswlib +eagerpy |