CBRkit: An Intuitive Case-Based Reasoning Toolkit for Python (ICCBR 2024 Best Student Paper) скачать в хорошем качестве

CBRkit: An Intuitive Case-Based Reasoning Toolkit for Python (ICCBR 2024 Best Student Paper)

This is a video of the talk given at the International Conference on Case-Based Reasoning (ICCBR) 2024 in Merida, Mexico. The paper won the award for the best student paper. 00:00 Welcome and Agenda 00:26 Introduction and Motivation 06:49 CBRkit Framework 15:55 User Study 20:37 Conclusion and Future Work CBRkit is a customizable and modular toolkit for Case-Based Reasoning (CBR) in Python. It provides a set of tools for loading cases and queries, defining similarity measures, and retrieving cases based on a query. The toolkit is designed to be flexible and extensible, allowing you to define custom similarity measures or use built-in ones. Retrieval pipelines are declared by composing these metrics, and the toolkit provides utility functions for applying them on a casebase. Additionally, it offers ready-to-use API and CLI interfaces for easy integration into your projects. The library is fully typed, enabling autocompletion and type checking in modern IDEs like VSCode and PyCharm. GitHub: https://github.com/wi2trier/cbrkit Conference: https://iccbr2024.org