finchge 1.0.1b7

FinchGE is a grammatical evolution library.

FinchGE: A Modular Grammatical Evolution Library

FinchGE is a modern, modular, and user-friendly Python library for Grammatical Evolution (GE) - a powerful evolutionary algorithm that uses formal grammars to evolve programs, expressions, and solutions.

Features

• Define grammars using BNF-style syntax
• Supports standard genetic operations: mutation, crossover, selection
• Flexible fitness evaluation for any problem domain
• Modular and extensible design allowing conveniently plugin custom Algorithms and Operators
• Easy-to-read in-built logging and visualization
• Intuitive API with extensive documentation and examples

Why finchGE

• Modular and extensible: Plug-and-play mutation, election, fitness, and search strategies.
• Designed for research and industry: Convenient and flexible API for quicker implementation.

Installation

# Basic installation
pip install finchge

# With optional dependencies
pip install finchge[pytorch]    # PyTorch support for using pytorch models (for HPO or NAS)
pip install finchge[all]        # All optional dependencies

Quick Example

Using finchGE is straightforward.

Step 1. Define grammar

grammar_file = "grammar.bnf"
grammar = Grammar.from_file(grammar_file)

Step 2. Define a Fitness Evaluator ; fitness_evaluator

fitness_evaluator = FitnessEvaluator(
    fitness_functions=StringMatchFitness("hello"),
    mapper=GenotypeMapper(grammar=grammar)
)

Step 3. Create GrammaticalEvolution instance and run

ge = GrammaticalEvolution(config=FinchConfig.default(),
                           grammar=grammar,
                           fitness_evaluator=fitness_evaluator)
ge.run()

For further details and more advanced usage, please check documentation at finchge.readthedocs.io, including Getting Started, API docReference and Examples

Development Status

Note: This is version 1.0.1-beta.7 - a beta release. Expect breaking changes and bugs.

What to expect:

• Bugs and unexpected behavior
• Rapid API changes
• Frequent updates
• Limited test coverage (improving daily)

Contributing

All contributions are welcome!

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

Bug Reports and Feature Requests

Found a bug or have a feature request? Please open an issue on GitHub.

License

This project is licensed under the MIT License - see the LICENSE file for details.