Iguanas is a fast, flexible and modular Python package for:
- Generating new rules using a labelled dataset.
- Optimising existing rules using a labelled or unlabelled dataset.
- Combining rule sets and removing/filtering those which are unnecessary.
- Generating rule scores based on their performance.
It aims to help streamline the process for developing a deployment-ready Rules-Based System (RBS) for binary classification use cases.
Instructions on installing and using Iguanas can be found in the Iguanas documentation.