hypertrees 0.3.2.dev5

HyperTrees in Python.

HyperTree

This code implements PBCTs based on its original proposal by Pliakos, Geurts and Vens in 2018¹. Functionality will be extended to n-dimensional interaction tensors, where n instances of n different classes would interact or not for each database instance.

¹Pliakos, Konstantinos, Pierre Geurts, and Celine Vens. "Global multi-output decision trees for interaction prediction." Machine Learning 107.8 (2018): 1257-1281.

Installation

The package is available at PyPI and can be installed by the usual pip command:

$ pip install hypertree

Local installation can be done either by providing the --user flag to the above command or by cloning this repo and issuing pip afterwards, for example:

$ git clone https://github.com/pedroilidio/hypertree
$ cd PCT
$ pip install -e .

Where the -e option installs it as symbolic links to the local cloned repository, so that changes in it will reflect on the installation directly.