SwiftLearner
SwiftLearner is a Scala-based machine learning library designed for clarity and experimentation. It features straightforward algorithms using plain Java types with minimal dependencies, ideal for prototyping and learning. With accessible methods and examples like the Fisher Iris dataset, it fosters understanding while achieving functional performance for small datasets.
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Top SwiftLearner Features
- Easy algorithm experimentation
- Scala-based implementation
- Minimal dependencies required
- Forking-friendly architecture
- Simple to understand code
- Short
- efficient methods
- Prototyping library usage
- Cookbook for machine learning
- Functional for small datasets
- Classic algorithm elegance
- Automated testing examples
- Beginner-friendly approach
- Flexible method adjustments
- Performance-tuned for datasets
- Compliant with BSD licensing
- Classic datasets compatibility
- Community-driven feedback integration
- User-inspired feature development
- Quick implementation examples
- Intuitive learning curve.
