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Minimum Description Length Binning

This is an implementation of Usama Fayyad's entropy based expert binning method.

Please read the original paper <a href="http://web.donga.ac.kr/kjunwoo/files/Multi%20interval%20discretization%20of%20continuous%20valued%20attributes%20for%20classification%20learning.pdf">here</a> for more information.

Installation and Usage

Install using pip

pip install git+https://github.com/hlin117/mdlp-discretization

As with all python packages, it is recommended to create a virtual environment when using this project.

Example

>>> from mdlp.discretization import MDLP
>>> from sklearn.datasets import load_iris
>>> transformer = MDLP()
>>> iris = load_iris()
>>> X, y = iris.data, iris.target
>>> X_disc = transformer.fit_transform(X, y)

Tests

To run the unit tests, clone the repo and install in development mode

git clone https://github.com/hlin117/mdlp-discretization
cd mdlp-discretization
pip install -e .

then run tests with py.test

py.test tests

Development

To submit changes to this project, make sure that you have Cython installed and submit the compiled *.cpp file along with changes to python code after running installation locally.