MGL-GPR
MGL-GPR is an innovative machine learning software that leverages evolutionary algorithms, including Genetic Programming and Differential Evolution. It enables users to evolve typed expressions through a flexible framework, optimizing solutions based on fitness functions. The library is designed for ease of use, addressing diverse optimization tasks in various domains.
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Top MGL-GPR Features
- Dynamic population management
- Adjustable crossover rate
- Integrated fitness evaluation
- Multi-threaded evaluation support
- Typed expression generation
- Customizable mutation strategies
- Genetic programming focus
- User-friendly API documentation
- Fast initial population creation
- Population diversity control
- Robust operator and literal definitions
- Fitness tracking callbacks
- Simplified expression building
- Built-in symbolic regression functionality
- Evolutionary algorithm customization
- Flexible selection mechanisms
- Compatible with various domains
- Easy integration with existing systems.
