.. _index: 

==========================================
Welcome to the documentation of Parsimony!
==========================================

Parsimony provides structured and sparse modelling in machine learning.
Parsimony currently contains:

- Loss functions:
    - Linear regression
    - Logistic regression
- Penalties:
    - L1 (Lasso)
    - L2 (Ridge)
    - Total variation (TV)
    - Overlapping group lasso (GL)
- Algorithms:
    - Iterative Soft-Thresholding Algorithm (ISTA)
    - Fast Iterative Soft-Thresholding Algorithm (FISTA)
    - COntinuation of NESTsterov’s smoothing Algorithm (CONESTA)
    - Excessive Gap Method

Installing Parsimony
====================

.. toctree::

   installing.rst


Tutorials
=========

.. toctree::

   tutorials.rst

API
===

API_
   
.. _API: ./epydoc_api/index.html


Indices and tables
==================

* :ref:`search`