HyperTrees in Python.
Project description
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.
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