Showing 10 of 10 projects
An open-source, in-memory platform for distributed and scalable machine learning with support for a wide range of algorithms and big data technologies.
A Go library for naive Bayesian classification and TF-IDF calculations on string sets.
A Ruby library for building and serving predictive models with support for PMML and integration with Python and R models.
A Naive Bayes machine learning implementation in Elixir with multiple models and storage options.
A full-featured Ruby implementation of Naive Bayes for probabilistic classification with customizable features.
A Ruby gem for scoring predictive models using PMML, supporting decision trees, naive Bayes, logistic regression, random forests, and gradient boosted trees.
A Python-based spam detector using Naive Bayes to classify emails as spam or ham.
A simple machine learning library for Crystal with a working Bayes classifier and upcoming decision tree.
A Ruby implementation of Naive Bayes text classification designed as a strategy for the OmniCat classification framework.
A Haxe library for linguistical analysis and natural language processing with tokenization, stemming, classification, and dictionary features.
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