• Update setup.py for more robust and maintainable package management.
• Update README.md and ChangeLog.md for better clarity and organization.
• Update requirements, CITATION.cff, and other metadata files for consistency.
• Update workflows for testing and publishing.

The first official release of ProbNet includes:

• Add information (CODE_OF_CONDUCT.md, MANIFEST.in, LICENSE, requirements.txt)
• Add helpers modules (validator, scaler, data_handler, metrics, kernel, distance)
• Add base model for all networks: BaseNet
• Add PnnClassifier class for probabilistic neural networks in pnn.py module
• Add GrnnRegressor class for general regression neural networks in grnn.py module. This is variant version of PNN for regression tasks
• Add publish workflow
• Add examples, tests folder, and documentation website