Merge pull request #142 from Happy-Algorithms-League/setup/long_description

Change long description in setup.py

Author: mschmidt87

long_description.md

@@ -0,0 +1,14 @@
+HAL-CGP
+=======
+[![Python3.6](https://img.shields.io/badge/python-3.6-red.svg)](https://www.python.org/downloads/release/python-369/)
+[![Python3.7](https://img.shields.io/badge/python-3.7-red.svg)](https://www.python.org/)
+[![Python3.8](https://img.shields.io/badge/python-3.8-red.svg)](https://www.python.org/)
+[![GPL license](https://img.shields.io/badge/License-GPLv3-blue.svg)](https://www.gnu.org/licenses/old-licenses/gpl-3.0.html)
+[![Build Status](https://api.travis-ci.org/Happy-Algorithms-League/hal-cgp.svg?branch=master)](https://travis-ci.org/Happy-Algorithms-League/hal-cgp)
+[![Checked with mypy](http://www.mypy-lang.org/static/mypy_badge.svg)](http://mypy-lang.org/)
+[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
+[![Coverage Status](https://coveralls.io/repos/github/Happy-Algorithms-League/python-gp/badge.svg?branch=master)](https://coveralls.io/github/Happy-Algorithms-League/python-gp?branch=master)
+
+Cartesian genetic programming (CGP) in pure Python.
+
+This library implements Cartesian genetic programming (e.g, Miller and Thomson, 2000; Miller, 2011) for symbolic regression in pure Python, targeting applications with expensive fitness evaluations. It provides Python data structures to represent and evolve two-dimensional directed graphs (genotype) that are translated into computational graphs (phenotype) implementing mathematical expressions. The computational graphs can be compiled as a Python functions, SymPy expressions (Meurer et al., 2017) or PyTorch modules (Paszke et al., 2017). The library currently implements an evolutionary algorithm, specifically (mu + lambda) evolution strategies adapted from Deb et al. (2002), to evolve a population of symbolic expressions in order to optimize an objective function.

setup.py

@@ -34,7 +34,6 @@ def read_extra_requirements():
     name="hal-cgp",
     version=read_version(),
     author="Jakob Jordan, Maximilian Schmidt",
-    author_email="[email protected]",
     description=("Cartesian Genetic Programming in pure Python."),
     license="GPLv3",
     keywords="genetic programming",
@@ -43,7 +42,7 @@ def read_extra_requirements():
     install_requires=read_requirements(),
     extras_require=read_extra_requirements(),
     packages=["cgp", "cgp.ea", "cgp.local_search"],
-    long_description=open("README.md").read(),
+    long_description=open("long_description.md").read(),
     long_description_content_type="text/markdown",
     classifiers=[
         "Development Status :: 4 - Beta",