Simple Bayes is an Elixir library implementing naive Bayes machine learning algorithms for fast, scalable text classification tasks. It supports multinomial, binarized multinomial, and Bernoulli models, offers various storage options (in-memory, file system, DETS), additive smoothing, TF-IDF, keyword weighting, and stemming, making it well-suited for document categorization, spam detection, and similar NLP tasks. Ideal for developers looking for straightforward, high-performance probabilistic text classifiers in Elixir.
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Comprehensive API reference and usage examples for the Simple Bayes library.
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