From e26e69f11498a85148f0df9776c7fb0fca4545f1 Mon Sep 17 00:00:00 2001 From: Rémi Flamary Date: Wed, 9 May 2018 13:07:01 +0200 Subject: update documentation wrt readme file --- docs/source/readme.rst | 12 +++++++----- 1 file changed, 7 insertions(+), 5 deletions(-) (limited to 'docs/source/readme.rst') diff --git a/docs/source/readme.rst b/docs/source/readme.rst index 647f7e8..d73d293 100644 --- a/docs/source/readme.rst +++ b/docs/source/readme.rst @@ -10,7 +10,8 @@ machine learning. It provides the following solvers: -- OT solver for the linear program/ Earth Movers Distance [1]. +- OT Network Flow solver for the linear program/ Earth Movers Distance + [1]. - Entropic regularization OT solver with Sinkhorn Knopp Algorithm [2] and stabilized version [9][10] with optional GPU implementation (required cudamat). @@ -19,10 +20,11 @@ It provides the following solvers: regularization [5] - Conditional gradient [6] and Generalized conditional gradient for regularized OT [7]. -- Joint OT matrix and mapping estimation [8]. +- Linear OT [14] and Joint OT matrix and mapping estimation [8]. - Wasserstein Discriminant Analysis [11] (requires autograd + pymanopt). -- Gromov-Wasserstein distances and barycenters [12] +- Gromov-Wasserstein distances and barycenters ([13] and regularized + [12]) Some demonstrations (both in Python and Jupyter Notebook format) are available in the examples folder. @@ -315,8 +317,8 @@ Foundations of computational mathematics 11.4 (2011): 417-487. distributions `__, Journal of Optimization Theory and Applications Vol 43, 1984. -[15] Peyré, G., & Cuturi, M. (2017). `Computational Optimal -Transport `__ , 2018. +[15] Peyré, G., & Cuturi, M. (2018). `Computational Optimal +Transport `__ . .. |PyPI version| image:: https://badge.fury.io/py/POT.svg :target: https://badge.fury.io/py/POT -- cgit v1.2.3