nbayes
A full-featured Ruby implementation of Naive Bayes for probabilistic classification with customizable features.
What is nbayes?
NBayes is a Ruby implementation of the Naive Bayes algorithm for probabilistic classification. It provides a full-featured toolkit for building classifiers that can handle various data types beyond text, with customizable options for smoothing, token management, and probability calculations.
Ruby developers and data practitioners who need a flexible, probabilistic classification library for tasks like text categorization, spam filtering, or general machine learning applications.
Developers choose NBayes for its comprehensive feature set, including probability outputs, customizable smoothing, and support for non-text tokens, all within a clean Ruby interface that balances flexibility with the algorithm's inherent simplicity.
Overview
A robust, full-featured Ruby implementation of Naive Bayes
Use Cases
Best For
- Text classification tasks like spam detection or sentiment analysis
- Building probabilistic classifiers with custom token types
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