Welcome to skwdro's documentation!
============================================

This project provides easy-to-use Wasserstein Distributionally Robust (WDRO) versions of popular machine learning and operations research problems.

.. toctree::
   :maxdepth: 2
   :hidden:
   :caption: Documentation

   quick_start
   wdro
   user_guide
   sklearn
   pytorch
   


.. toctree::
   :maxdepth: 2
   :hidden:
   :caption: Examples

   examples/Builtin/index
   examples/Custom/index
   
.. toctree::
   :maxdepth: 2
   :hidden:
   :caption: Advanced topics

   optim
   solvers
   tuning

.. toctree::
   :maxdepth: 2
   :hidden:
   :caption: API

   API/modules
   API/skwdro
   API/skwdro.solvers
   API/skwdro.linear_models
   API/skwdro.operations_research
   API/skwdro.neural_network
   API/skwdro.distributions



`Getting started <quick_start.html>`_
-------------------------------------

Information regarding this package and its installation as well as Wasserstein Distributionally Robust optimization.

`User Guide <user_guide.html>`_
-------------------------------

Documentation of the package, available models, and their numerical resolution.