.. itea documentation master file, created by
   sphinx-quickstart on Sat May 29 20:41:09 2021.
   You can adapt this file completely to your liking, but it should at least
   contain the root `toctree` directive.

Welcome to itea's documentation!
================================

.. image:: assets/images/coverage.svg
.. image:: assets/images/pythonversion.svg
.. image:: https://badge.fury.io/py/itea.svg
  :target: https://badge.fury.io/py/itea
.. image:: https://readthedocs.org/projects/itea-python/badge/?version=latest
  :target: https://itea-python.readthedocs.io/en/latest/?badge=latest
  :alt: Documentation Status

itea is a python implementation of the Interaction-Transformation Evolutionary
Algorithm described in the paper "Franca, F., & Aldeia, G. (2020).
Interaction-Transformation Evolutionary Algorithm for Symbolic Regression.
Evolutionary Computation, 1-25."

The Interaction-Transformation (IT) representation is a step towards obtaining
simpler and more interpretable results, searching in the mathematical
equations space by means of an evolutionary strategy.

Together with ITEA for Classification and Regression, we provide a
model-specific explainer based on the Partial Effects to help users get a
better understanding of the resulting expressions.

This implementation is based on scikit-learn package and the implementations
of the estimators follows their guidelines.


.. toctree::
  :caption: Getting started:
  :maxdepth: 2
   
  gettingstarted


.. toctree::
  :caption: ITEA package documentation:
  :maxdepth: 3

  base
  itea.regression
  itea.classification
  itea.inspection


.. toctree::
  :caption: Example notebooks:
  :titlesonly:
  :glob:

  _*

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

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