InterpretML

InterpretML serves as an open source toolkit dedicated to helping developers and data scientists understand machine learning models and build responsibly. It provides state-of-the-art techniques for explaining model behaviour across multiple types of algorithms during both training and inference phases. The platform is community driven and focuses on enabling responsible machine learning practices through comprehensive support for various model structures. Its primary function is to enhance model interpretability which aids stakeholders in comprehending how decisions are made by complex systems.