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SMILE documentation
====================

Introduction
------------

SMILE package implements Linear Genetic Programming (LGP) algorithm in python, with a scikit-learn style API.
LGP is a paradigm of genetic programming that employs a representation of
linearly sequenced instructions. A population of diverse candidate models is initialized randomly and
will improve prediction accuracy gradually using random sampled training set through a number of generations.
After evolution, the best model with highest fitness score (i.e. accuracy on random sampled training set) will
be the output.

linear genetic programming package implements LGP algorithm in python, with a scikit-learn compatible API.
It retains the familiar scikit-learn `fit/predict` API and works with the existing scikit-learn modules (e.g.
`grid search <http://scikit-learn.org/stable/modules/grid_search.html>`_ ).


LGP API
-------
.. automodule:: linear_genetic_programming.lgp_classifier
   :inherited-members: score
   :members:



Indices and tables
------------------

* :ref:`genindex`
* :ref:`modindex`
* :ref:`search`