/Local_Bures_Wasserstein

Primary LanguagePythonBSD 3-Clause "New" or "Revised" LicenseBSD-3-Clause

Local Bures-Wasserstein

This code is written in Python and relies on Anaconda to create an environment to install dependencies.

Installing the anaconda environment.

All associated packages are opensource. The file environment.yml contains all the packages used in the examples.

To install these packages run

make install

Installing the anaconda environment.

It contains two examples, one for each use case.

Barycenter of shapes: interpolation of clounds of points

make run_shapes

Mixing sensitive groups: naive fair classifier

make run_classifer

This code is going to be shared in a Github repository after receiving the conference decision.