The Libra Toolkit
The Libra Toolkit comprises a suite of algorithms designed for learning and inference in discrete probabilistic models, such as Bayesian networks and sum-product networks. With an emphasis on structure learning for efficient exact inference, each command-line program is user-friendly and consistent, making it ideal for both interactive use and scripting.
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Top The Libra Toolkit Features
- Structure learning focus
- Efficient exact inference
- Command-line program interface
- Interactive and scripting use
- Consistent options and formats
- Supports multiple probabilistic models
- Tractable models optimization
- OCaml implementation for speed
- OASIS build system integration
- OPAM installation support
- Comprehensive documentation
- Incompatibility fixes in updates
- Development version availability
- Community-contributed improvements
- BSD license for flexibility
- Algorithm diversity for learning
- Utility methods for efficiency
- Source code repository access
- Regular version updates
- User-friendly installation process
