This is an implementation of Usama Fayyad's entropy based expert binning method.
*Fayyad, Usama M.; Irani, Keki B. (1993) "Multi-Interval Discretization of Continuous-Valued Attributes for Classification Learning" , Proceedings of the International Joint Conference on Uncertainty in AI (Q334 .I571 1993), pp. 1022-1027 https://trs.jpl.nasa.gov/handle/2014/35171
Please read the original paper here for more information.
To run the unit tests, make sure you have nose installed. Afterwards,
$ make test
should do the trick.
This code was built using Cython, so you have to run the makefile in the directory.
$ pip3 install mdlp
>>> from mdlp import MDLP
>>> from sklearn.datasets import load_iris
>>> iris = load_iris()
>>> X = iris.data
>>> y = iris.target
>>> mdlp = MDLP()
>>> conv_X = mdlp.fit_transform(X, y)
I recommend creating a virtual environment for this project.