Pot

*Sep 2018*

POT is 2 years old! This release brings numerous new features to the
toolbox as listed below but also several bug correction.

Among the new features, we can highlight a [non-regularized Gromov-Wasserstein
solver](https://github.com/rflamary/POT/blob/master/notebooks/plot_gromov.ipynb),
a new [greedy variant of sinkhorn](https://pot.readthedocs.io/en/latest/all.html#ot.bregman.greenkhorn),
[non-regularized](https://pot.readthedocs.io/en/latest/all.html#ot.lp.barycenter),
[convolutional (2D)](https://github.com/rflamary/POT/blob/master/notebooks/plot_convolutional_barycenter.ipynb)
and [free support](https://github.com/rflamary/POT/blob/master/notebooks/plot_free_support_barycenter.ipynb)
Wasserstein barycenters and [smooth](https://github.com/rflamary/POT/blob/prV0.5/notebooks/plot_OT_1D_smooth.ipynb)
and [stochastic](https://pot.readthedocs.io/en/latest/all.html#ot.stochastic.sgd_entropic_regularization)
implementation of entropic OT.

*15 Sep 2017*

This release contains a lot of contribution from new contributors.


Features

* Automatic notebooks and doc update (PR 27)
* Add gromov Wasserstein solver and Gromov Barycenters (PR 23)
* emd and emd2 can now return dual variables and have max_iter (PR 29 and PR 25)
* New domain adaptation classes compatible with scikit-learn (PR 22)
* Proper tests with pytest on travis (PR 19)
* PEP 8 tests (PR 13)

Closed issues

* emd convergence problem du to fixed max iterations (24)
* Semi supervised DA error (26)

*11 Jul 2017*

* Correct bug in emd on windows

*7 Jul 2017*

* emd* and sinkhorn* are now performed in parallel for multiple target distributions
* emd and sinkhorn are for OT matrix computation
* emd2 and sinkhorn2 are for OT loss computation
* new notebooks for emd computation and Wasserstein Discriminant Analysis
* relocate notebooks
* update documentation
* clean_zeros(a,b,M) for removimg zeros in sparse distributions
* GPU implementations for sinkhorn and group lasso regularization

*7 Apr 2017*

* New dimensionality reduction method (WDA)
* Efficient method emd2 returns only tarnsport (in paralell if several histograms given)

*5 Jan 2017*

* Add sphinx gallery for better documentation
* Small efficiency tweak in sinkhorn
* Add simple tic() toc() functions for timing