sklearn_nominal
Extra models for scikit-learn, including Tree, PRISM, CN2, OneR and ZeroR Classifiers and Regressors with support for nominal values.
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]"
1 maintainer
Metadata
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Release files for sklearn-nominal 0.0.11
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