{ "info": { "author": "Lucas Hermann Negri", "author_email": "lucashnegri@gmail.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 5 - Production/Stable", "License :: OSI Approved :: MIT License", "Programming Language :: Cython", "Programming Language :: Python", "Programming Language :: Python :: 3", "Topic :: Scientific/Engineering :: Artificial Intelligence" ], "description": "PyFDE\n=====\n\n.. image:: https://api.shippable.com/projects/54294a2980088cee586cfc7d/badge?branchName=master\n.. image:: https://pypip.in/version/PyFDE/badge.png?style=flat\n :target: https://pypi.python.org/pypi/PyFDE\n :alt: Latest Version\n\nPyFDE is an implementation of differential evolution for Python 3. Its main\nfocus is ease of use and performance. The core optimization procedure was\nimplemented in Cython for performance.\n\nCurrently, it implements the classic DE/rand/1/bin scheme and the JADE variant.\npyfde also provides a fast random number generator.\n\nThe documentation is available at http://pythonhosted.org/PyFDE .\n\nInstallation\n------------\n\nTo install PyFDE from the source package, run:\n\n.. code-block:: bash\n \n python setup.py install\n \nPyFDE targets Python 3.4 and depends on NumPy at compile/run time. Cython is\nonly needed when changing the library itself (needed for generating the C\nmodules). 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