Simple Bayes
This Naive Bayes implementation in Elixir offers a robust tool for probabilistic classification, ideal for tasks such as text categorization and medical diagnosis. Levera... This Naive Bayes implementation in Elixir offers a robust tool for probabilistic classification, ideal for tasks such as text categorization and medical diagnosis. Leveraging Bayes' theorem with strong independence assumptions, it ensures efficient training and scalability, making it a competitive choice against more complex classifiers while providing flexible storage options.
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Company Information
- Company: Simple Bayes
- Country: United States
Top Simple Bayes Features
- Elixir-based implementation
- Strong independence assumptions
- Text categorization support
- Efficient maximum-likelihood training
- Scalable parameter requirements
- Simple installation process
- Optional word stemming functionality
- In-memory storage option
- File system encoding speed
- Dets library integration
- Compatibility with older Elixir versions
- User-configurable options
- Base64 data encoding
- Performance optimization comparisons
- Feedback-driven improvements
- Open-source MIT license
- Document category classification
- Automatic medical diagnosis application
- Competitive with advanced methods.
