From e65c1f745cf2eacc6672727e7a3869efd8318768 Mon Sep 17 00:00:00 2001 From: Romain Tavenard Date: Mon, 4 May 2020 11:19:35 +0200 Subject: [WIP] Improved docs and changed scipy version (#163) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit * Improved docs and changed scipy version * Fixed dependency bug in setup.py * dependencies set to minimal versions for tests * add requirements file * added minimal version build for scipy (testing 1.2) * bugfix in minimal deps build * (yet another) bugfix in minimal deps build * minimal deps now reflect README.md * minimal deps: no autograd nor pymanopt * refactored workflow names * minimal deps: no doctests * minimal deps: numpy 1.16 * trigger GH Actions on PR * better merge * re-add minimal-deps... * bugfix in yaml * enforce np>=1.16 * enforce scipy and cython versions too * requires / install_requires * requires / install_requires / requires * setup_requires Co-authored-by: Rémi Flamary --- examples/gromov/plot_barycenter_fgw.py | 11 ++++++----- 1 file changed, 6 insertions(+), 5 deletions(-) (limited to 'examples/gromov/plot_barycenter_fgw.py') diff --git a/examples/gromov/plot_barycenter_fgw.py b/examples/gromov/plot_barycenter_fgw.py index 77b0370..3f81765 100644 --- a/examples/gromov/plot_barycenter_fgw.py +++ b/examples/gromov/plot_barycenter_fgw.py @@ -4,14 +4,15 @@ Plot graphs' barycenter using FGW ================================= -This example illustrates the computation barycenter of labeled graphs using FGW +This example illustrates the computation barycenter of labeled graphs using +FGW [18]. Requires networkx >=2 -.. [18] Vayer Titouan, Chapel Laetitia, Flamary R{\'e}mi, Tavenard Romain - and Courty Nicolas - "Optimal Transport for structured data with application on graphs" - International Conference on Machine Learning (ICML). 2019. +[18] Vayer Titouan, Chapel Laetitia, Flamary Rémi, Tavenard Romain +and Courty Nicolas +"Optimal Transport for structured data with application on graphs" +International Conference on Machine Learning (ICML). 2019. """ -- cgit v1.2.3