0.6 Year 3
This is the first official stable release of POT and this means a jump to 0.6! The library has been used in the wild for a while now and we have reached a state where a lot of fundamental OT solvers are available and tested. It has been quite stable in the last months but kept the beta flag in its Pypi classifiers until now.
Note that this release will be the last one supporting officially Python 2.7 (See https://python3statement.org/ for more reasons). For next release we will keep the travis tests for Python 2 but will make them non necessary for merge in 2020.
The features are never complete in a toolbox designed for solving mathematical problems and research but with the new contributions we now implement algorithms and solvers from 24 scientific papers (listed in the README.md file). New features include a direct implementation of the empirical Sinkhorn divergence, a new efficient (Cython implementation) solver for EMD in 1D and corresponding Wasserstein 1D. We now also have implementations for Unbalanced OT and a solver for Unbalanced OT barycenters. A new variant of Gromov-Wasserstein divergence called Fused Gromov-Wasserstein has been also contributed with exemples of use on structured data and computing barycenters of labeld graphs.
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 for 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 required a C compiler and numpy/cython already installed.
Finally we would like to acknowledge and thank the numerous contributors of POT that has helped in the past build the foundation and are still contributing to bring new features and solvers to the library.
Features
- Add compiled manylinux 64bits wheels to pip releases (PR #91)
- Add quick start guide (PR #88)
- Make doctest work on travis (PR #90)
- Update documentation (PR #79, PR #84)
- Solver for EMD in 1D (PR #89)
- Solvers for regularized unbalanced OT (PR #87, PR#99)
- Solver for Fused Gromov-Wasserstein (PR #86)
- Add empirical Sinkhorn and empirical Sinkhorn divergences (PR #80)