Naive Bayesian Classification for Golang
Naive Bayesian Classification for Golang enables users to classify strings into multiple categories with ease. Featuring support for term frequency-inverse document frequency (TF-IDF) calculations, this library facilitates accurate classifications while addressing potential float underflow issues. Users can train their classifiers and obtain likelihood scores or probabilities effectively.
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Top Naive Bayesian Classification for Golang Features
- Easy integration with Go
- Supports multiple classification classes
- Handles string data efficiently
- TF-IDF calculation support
- Low entry barrier library
- Comprehensive documentation available
- Robust against underflow issues
- Probability score outputs
- Class score magnitude indication
- Flexible training process
- Quick classification results
- User feedback-driven improvements
- BSD-style licensing
- Well-commented codebase
- Suitable for beginners
- High performance for text data
- Customizable class definitions
- Efficient memory usage
- Community support and updates.
