laplaciannb 0.6.0

**LaplacianNB** is a Python module developed at **Novartis AG** for Naive Bayes classifier for laplacian modified models based on scikit-learn Naive Bayes implementation.

LaplacianNB

Package
Meta

LaplacianNB is a Python module developed at Novartis AG for a Naive Bayes classifier for Laplacian modified models based on the scikit-learn Naive Bayes implementation.

This classifier is suitable for binary/boolean data as it uses only indices of the positive bits for prediction. The algorithm was first implemented in Pipeline Pilot and KNIME.

Features

• Naive Bayes classifier for Laplacian modified models
• Suitable for binary/boolean data
• Efficient prediction using indices of positive bits

Installation

You can install the package using pip:

pip install laplaciannb

Literature

Nidhi; Glick, M.; Davies, J. W.; Jenkins, J. L. Prediction of biological targets
for compounds using multiple-category Bayesian models trained on chemogenomics
databases. J. Chem. Inf. Model. 2006, 46, 1124– 1133,
https://doi.org/10.1021/ci060003g

Lam PY, Kutchukian P, Anand R, et al. Cyp1 inhibition prevents doxorubicin-induced cardiomyopathy
in a zebrafish heart-failure model. Chem Bio Chem. 2020:cbic.201900741.
https://doi.org/10.1002/cbic.201900741

Authors

Author and maintainer: Bartosz Baranowski ([e-mail])

Maintainers

• Bartosz Baranowski ([e-mail])
• Edgar Harutyunyan ([e-mail])

Changelog

• v0.6.0 - Move to pdm build
• v0.5.0 - Initial release

License

This project is licensed under the BSD 3-Clause License - see the LICENSE file for details.