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authorCédric Vincent-Cuaz <cedvincentcuaz@gmail.com>2023-03-09 14:21:33 +0100
committerGitHub <noreply@github.com>2023-03-09 14:21:33 +0100
commita5930d3b3a446bf860d6dfacc1e17151fae1dd1d (patch)
tree3897f88fae95c25314be3976f30285bc4db14494 /examples/gromov/plot_gromov.py
parent263a36ff627257422d7e191f6882fb1c8fc68326 (diff)
[MRG] Semi-relaxed (fused) gromov-wasserstein divergence and improvements of gromov-wasserstein solvers (#431)
* maj gw/ srgw/ generic cg solver * correct pep8 on current state * fix bug previous tests * fix pep8 * fix bug srGW constC in loss and gradient * fix doc html * fix doc html * start updating test_optim.py * update tests gromov and optim - plus fix gromov dependencies * add symmetry feature to entropic gw * add symmetry feature to entropic gw * add exemple for sr(F)GW matchings * small stuff * remove (reg,M) from line-search/ complete srgw tests with backend * remove backend repetitions / rename fG to costG/ fix innerlog to True * fix pep8 * take comments into account / new nx parameters still to test * factor (f)gw2 + test new backend parameters in ot.gromov + harmonize stopping criterions * split gromov.py in ot/gromov/ + update test_gromov with helper_backend functions * manual documentaion gromov * remove circular autosummary * trying stuff * debug documentation * alphabetic ordering of module * merge into branch * add note in entropic gw solvers --------- Co-authored-by: Rémi Flamary <remi.flamary@gmail.com>
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==========================
Gromov-Wasserstein example
==========================
-
This example is designed to show how to use the Gromov-Wassertsein distance
computation in POT.
"""