sklearn-nominal 0.0.9

Extra models for scikit-learn w/ built-in support for nominal attributes

sklearn_nominal

Extra models for scikit-learn, including Tree, PRISM, CN2, OneR and ZeroR Classifiers and Regressors with support for nominal values.

Documentation at ReadTheDocs

Colab Quickstart

Check our classification models notebook and regression models notebook to see samples of sklearn_nominal models in action with simple datasets.

Installation

To use sklearn_nominal in your project, you can install it from pypi (no conda-forge support yet):

Using pip:

pip install sklearn_nominal

Using uv:

uv add sklearn_nominal

Installation with support for svg/png/pdf export for Tree models

To export tree graphs to those formats, you need pygraphviz (and in the future, possibly other dependencies). Regrettably, pygraphviz does not include its own binaries for grpahviz. Therefore, make sure to install graphviz (with headers) and cairo. In Ubuntu 24.04, that can be achieved with:

sudo apt install libgraphviz-dev

Then use the export extras version of sklearn_nominal installing:

pip install  "sklearn_nominal[export]"