V0.2

Author: rflamary

README.md

@@ -15,6 +15,8 @@ It provides the following solvers:
 * Optimal transport for domain adaptation with group lasso regularization [5]
 * Conditional gradient [6] and Generalized conditional gradient for regularized OT [7].
 * Joint OT matrix and mapping estimation [8].
+* Wasserstein Discriminant Analysis [11] (requires autograd + pymanopt).
+
 
 Some demonstrations (both in Python and Jupyter Notebook format) are available in the examples folder.
 

docs/source/readme.rst

@@ -18,6 +18,8 @@ It provides the following solvers:
 -  Conditional gradient [6] and Generalized conditional gradient for
    regularized OT [7].
 -  Joint OT matrix and mapping estimation [8].
+-  Wasserstein Discriminant Analysis [11] (requires autograd +
+   pymanopt).
 
 Some demonstrations (both in Python and Jupyter Notebook format) are
 available in the examples folder.

ot/__init__.py

@@ -18,7 +18,7 @@
 # utils functions
 from .utils import dist, unif, tic, toc, toq
 
-__version__ = "0.1.12"
+__version__ = "0.2"
 
 __all__ = ["emd", "emd2", "sinkhorn", "utils", 'datasets', 'bregman', 'lp', 
            'plot', 'tic', 'toc', 'toq',