A repository with Meta Heuristics (ie: ga, pso) implementations for feature selection.
HTML Documentation - http://metaheuristic.readthedocs.io/en/latest/
The package by itself comes with a single module and an estimator. Before installing the module you will need - Numpy - Scipy - DEAP - Matplotli - Scikit-learn
To install the module execute, python
python setup.py install
or:
pip install metaheuristic
If the installation is successful, and MetaHeuristic is correctly installed, you should be able to execute the following in Python:
>>> from feature_selection import HarmonicSearch >>> estimator = HarmonicSearch()
DEAP is a novel evolutionary computation framework for rapid prototyping and testing of ideas. It seeks to make algorithms explicit and data structures transparent. It works in perfect harmony with parallelisation mechanism such as multiprocessing and [SCOOP](http://pyscoop.org).
See the [DEAP User's Guide](http://deap.readthedocs.org/) for DEAP documentation.