dl8.5 0.0.7

A package to build an optimal binary decision tree classifier.

Authors:

Gaël Aglin, Siegfried Nijssen, Pierre Schaus

Relevant paper: [DL852020]

This project implements an algorithm for inferring optimal binary decision trees classifiers. It is scikit-learn compatible package which provide classifiers and clustering algorithms and can be used with any scikit-learn functions. As any scikit-learn estimators, you have to use methods “fit” and “predict”.

This tool can be installed by two ways:

• download the sources from github and compile using the command python3 setup.py install in the root folder

• install from pip by using the command pip install dl8.5 in your console

Installation from sources ensure you to have up-to-date functionalities when pip method ensure you to have last release.

The complete documentation is available at https://dl85.readthedocs.io/en/latest/?badge=latest

[DL852020]

Aglin, G., Nijssen, S., Schaus, P. Learning optimal decision trees using caching branch-and-bound search. In AAAI. 2020.