From a9da97cca012f1d1f91a5a3734ce43676347cd22 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Petr=C3=B4nio=20C=C3=A2ndido=20de=20Lima=20e=20Silva?= Date: Thu, 12 Apr 2018 18:43:46 -0300 Subject: [PATCH] Update README.md --- README.md | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/README.md b/README.md index 71555fd..76bd002 100644 --- a/README.md +++ b/README.md @@ -1,5 +1,10 @@ # pyFTS - Fuzzy Time Series for Python +[![GPLv3 license](https://img.shields.io/badge/License-GPLv3-blue.svg)](http://perso.crans.org/besson/LICENSE.html) +[![made-with-python](https://img.shields.io/badge/Made%20with-Python-1f425f.svg)](https://www.python.org/) +[![PyPI pyversions](https://img.shields.io/pypi/pyversions/ansicolortags.svg)](https://pypi.python.org/pypi/pyFTS/) +[![Open Source Love png2](https://badges.frapsoft.com/os/v2/open-source.png?v=103)](https://github.com/ellerbrock/open-source-badges/) + ## What is pyFTS Library? 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 for statistic laymans to experts.