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2017-06-23test travisRémi Flamary
2017-06-20add clean zeros function for sparse distributionsRémi Flamary
2017-06-13example compute emdRémi Flamary
2017-06-13implement paralell sinkhorn stabilizedRémi Flamary
2017-06-13implement paralell sinkhornRémi Flamary
2017-06-13add em2 computation exampleRémi Flamary
2017-06-13make sinkhorn more general with method selectionRémi Flamary
2017-06-09update docRémi Flamary
2017-06-09update .gitignore with sphinwgallery temop filesRémi Flamary
2017-06-09add doc and correct encodingRémi Flamary
2017-06-09add doc ot.gpu.bregmanRémi Flamary
2017-04-27Merge pull request #10 from aje/masterncourty
performance improvement sinkhorn lpl1
2017-04-24Remove unnecessary parameterLeo gautheron
2017-04-24add GPU implementation sinkhorn lpl1Leo gautheron
2017-04-21performance improvement sinkhorn lpl1Leo gautheron
- instead of updating individually for each target examples, update for all target examples at once using numpy functions. This allows for a faster computation (for me, divided by 4 on 3000*100 random matricies and random labels in [0,1]). - if I understoud correctly, a value of -1 in the array labels_a meant that we didn't have a label for this example. But in machine learning, we often encounter the binary case where we say we have the positive class (+1) and negative class (-1); thus with a dataset like this, the algorithm wouldn't work as expected. I replaced the default value for 'no label' to '-99' instead of '-1', and I added a parameter to modify it.
2017-04-21Merge branch 'master' of github.com:rflamary/POTRémi Flamary
2017-04-21small normalization bugRémi Flamary
2017-04-20Update README.mdRémi Flamary
2017-04-20Update README.mdRémi Flamary
2017-04-20update readmeRémi Flamary
2017-04-20add test gpuRémi Flamary
2017-04-20update docRémi Flamary
2017-04-20add dependencies discussion in readmeRémi Flamary
2017-04-20Merge pull request #8 from aje/masterRémi Flamary
sinkhorn GPU implementation
2017-04-20more changes from feebackLeo gautheron
in addition add the posibility to normalize the cost matrix through the function fit
2017-04-20missing argument function sinkhornLeo gautheron
2017-04-20changes from feedbackLeo gautheron
2017-04-20sinkhorn GPU implementationLeo gautheron
2017-04-18Update README.mdRémi Flamary
Add Leo as contributor
2017-04-18Merge pull request #7 from aje/masterRémi Flamary
Performance improvement sinkhorn
2017-04-18little cleanup sinkhornLeo gautheron
2017-04-18Performance improvement sinkhornLeo gautheron
Doing the computation this way is equivalent and allows to reduce the space complexity required from O(max(a, b)^2) to O(a*b) (especially usefull to transport a small number of sources example to a lot of target) This also allows to decrease the computation time.
2017-04-13Merge pull request #6 from aje/masterRémi Flamary
update bregman file with python 3 print (commented) and numerical error stopping. Thank you to Léo @aje for the corrections
2017-04-13update bregman fileLeo gautheron
- change commented prints to python3 compatible syntax - Correct issue that could cause the sinkhorn algo to stop with u and v containing nan/infinite numbers: - Assign uprev and vprev before changing u and v. - Then update u and v. - Then check if u and v contain nan, but ALSO infinite values. - if there are issues, then display error (with 2 r, not 3 :p) along with the iteration number (there may have errors at iteration 0)
2017-04-07doc updateRémi Flamary
2017-04-07doc with drRémi Flamary
2017-04-07V0.2Rémi Flamary
2017-04-07correct docRémi Flamary
2017-04-07smal changesRémi Flamary
2017-04-07readthedoc testRémi Flamary
2017-04-07readthedoc mock trickRémi Flamary
2017-04-07readthedoc errorRémi Flamary
2017-04-07doc wdaRémi Flamary
2017-04-07better dicumentationRémi Flamary
2017-04-07add WDARémi Flamary
2017-04-07avoid filename conclict in windowsRémi Flamary
2017-03-21cleanupt cpp wrapper nameRémi Flamary
2017-03-14add emd2+ multiprocRémi Flamary
2017-03-10runs but not quickerRémi Flamary
2017-03-10first tryRémi Flamary