CAP Naive Bayes Classifier

CAP-Naive-Bayes is a lightweight, extensible implementation of a multinomial Naive Bayes classifier in pure Python. It is designed for Annotation Transfer of single-cell data, allowing you to fit and predict (or "transfer") cell types from reference datasets efficiently using out-of-core chunked processing.

Please see the GitHub repo for more information: CAP Naive Bayes GitHub repo