Releases: reverseame/RAMPAGE
Releases · reverseame/RAMPAGE
Code Improvement
Code refactoring to enhance framework codebase readability and usability.
Features
- Reviewed and enhanced framework classes structure following PEP8 compliance standards
- Result class refactored: child classes now only need to implement init function for metrics definition
Full Changelog: v1.0.0...v1.1.0
Initial Release
RAMPAGE: (fRAMework to comPAre aGd dEtectors) is a framework aimed at training and comparing machine learning models for the detection of Algorithmically Generated Domains (AGDs).
Features
- Training and testing of machine learning models for detecting AGDs
- A structured, clean and straightforward approach to comparing machine learning models
- Possibility of extending the base data types to add new features to dataset elements
- Automated management of datasets
- Simple way to share models and results