This is a rudimentary library that implements some basic algorithms related to (fuzzy) rough sets. Originated as a project for the Soft Computing course at Ghent University 2018-2019.
Warning: This code is more then likely wrong in multiple places. Please use this only as a rudimentary accompaniement to existing implementations and theory.
Main contents of this package is a LEM2 Scikit-Learn Classifier (see eddy/lem2.py), and a (not really working) Fuzzy LEM Scikit-Learn Classifier (see eddy/fuzzylem.py).
This package uses Pipenv for dependency management. So it should be nothing more then:
- installing
pipenv - installing dependencies with
pipenv install - running code with
pipenv run python -m eddy