Simple Bayes

Simple Bayes is an Elixir machine learning library implementing the Naive Bayes algorithm for probabilistic classification tasks. It supports several models (Multinomial, Binarized Multinomial, and Bernoulli), various storage backends (in-memory, file system, and Dets), and provides features such as stop word removal, TF-IDF, additive smoothing, keyword weighting, and stemming. It is especially suitable for text classification tasks like spam filtering and document categorization, and is designed for developers building scalable, fast classification systems in Elixir.