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author | Rémi Flamary <remi.flamary@gmail.com> | 2019-07-08 10:06:17 +0200 |
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committer | Rémi Flamary <remi.flamary@gmail.com> | 2019-07-08 10:06:17 +0200 |
commit | 371a8354a69fd5f0dfc035f4f3554fe11ef42bb2 (patch) | |
tree | 4e2980396f3d64324ce5651169eb4d14263a4bbf /RELEASES.md | |
parent | cc37dd9729460fdd0766ffc71be78683d6a1e408 (diff) |
tupos in RELEASES.md
Diffstat (limited to 'RELEASES.md')
-rw-r--r-- | RELEASES.md | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/RELEASES.md b/RELEASES.md index e5a20c8..112e4ab 100644 --- a/RELEASES.md +++ b/RELEASES.md @@ -26,7 +26,7 @@ have implementations for [Unbalanced OT](https://github.com/rflamary/POT/blob/ma and a solver for [Unbalanced OT barycenters](https://github.com/rflamary/POT/blob/master/notebooks/plot_UOT_barycenter_1D.ipynb). A new variant of Gromov-Wasserstein divergence called [Fused Gromov-Wasserstein](https://pot.readthedocs.io/en/latest/all.html?highlight=fused_#ot.gromov.fused_gromov_wasserstein) - has been also contributed with exemples of use on [tructured data](https://github.com/rflamary/POT/blob/master/notebooks/plot_fgw.ipynb) + has been also contributed with exemples of use on [structured data](https://github.com/rflamary/POT/blob/master/notebooks/plot_fgw.ipynb) and computing [barycenters of labeld graphs](https://github.com/rflamary/POT/blob/master/notebooks/plot_barycenter_fgw.ipynb). @@ -34,12 +34,12 @@ A lot of work has been done on the documentation with several new examples corresponding to the new features and a lot of corrections for the docstrings. But the most visible change is a new [quick start guide](https://pot.readthedocs.io/en/latest/quickstart.html) for -POT that gives several pointers about which function or classes allow to solve a +POT that gives several pointers about which function or classes allow to solve which specific OT problem. When possible a link is provided to relevant examples. We will also provide with this release some pre-compiled Python wheels for Linux 64bit on -github and pip. This will simplify the install process that before requires a C +github and pip. This will simplify the install process that before required a C compiler and numpy/cython already installed. Finally we would like to acknowledge and thank the numerous contributors of POT |