This package is intended for students, researchers, data scientists or whose want to exploit the Fuzzy Time Series methods. These methods provide simple, easy to use, computationally cheap and human-readable models, suitable from statistic laymans to experts.
This tool is developed on `MINDS Lab <http://www.minds.eng.ufmg.br/>`_,
headed by Prof. Frederico Gadelha Guimarães from `Electrical
Engineering Departament <https://www.ppgee.ufmg.br/>`_ of `Federal University
of Minas Gerais (UFMG) <https://ufmg.br/>`_ at Brazil. Also colaborate
with this tool the Brazilian instituitions `Federal Institute of
North of Minas Gerais (IFNMG) <http://www.ifnmg.edu.br>`_ and `Federal Institute of Minas Gerais
(IFMG) <http://www.ifmg.edu.br>`_ .
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<center>
<table><tr><td> <a href="http://www.minds.eng.ufmg.br/"><img src="https://github.com/petroniocandido/pyFTS/raw/master/img/minds_logo_medium.jpeg" alt="MINDS - Machine Intelligence and Data Science Lab" width="100"/></a></td>
Silva, P. C. L. et al. *pyFTS: Fuzzy Time Series for Python (Version v4.0).* Belo Horizonte. 2018. DOI: 10.5281/zenodo.1405817. Url: <https://doi.org/10.5281/zenodo.1405817>
