pietrobarbiero / evofs

Multi-objective evolutionary algorithms for feature selection

EvoFS: Multi-objective evolutionary feature selection

EvoFS is a python package providing a sklearn-like transformer for multi-objective evolutionary feature selection.

Quick start

You can install EvoFS along with all its dependencies from PyPI:

$ pip install evofs

Citing

If you find EovFS useful in your research, please consider citing the following paper:

@inproceedings{barbiero2019novel,
  title={A Novel Outlook on Feature Selection as a Multi-objective Problem},
  author={Barbiero, Pietro and Lutton, Evelyne and Squillero, Giovanni and Tonda, Alberto},
  booktitle={International Conference on Artificial Evolution (Evolution Artificielle)},
  pages={68--81},
  year={2019},
  organization={Springer}
}

Source

The source code and minimal working examples can be found on GitHub.

Running tests

You can run all unittests from command line by using python:

$ python -m unittest discover

or coverage:

$ coverage run -m unittest discover

Authors

Pietro Barbiero, Giovanni Squillero, and Alberto Tonda.

Licence

Copyright 2020 Pietro Barbiero, Giovanni Squillero, and Alberto Tonda.

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at: http://www.apache.org/licenses/LICENSE-2.0.

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.

See the License for the specific language governing permissions and limitations under the License.