Jeeves. Reasoning improves Jev-like decision models

Jeeves is an open-source Python library that improves Jev-like decision models by providing a probabilistic reasoning framework. It allows users to build decision models that can take into account uncertainty and ambiguity in data. The library is based on the Jev model, which is a type of probabilistic graphical model. Jeeves provides a simple and intuitive API for building and training decision models, making it easier for developers to integrate probabilistic reasoning into their applications. The library is designed to be extensible and can be used for a wide range of tasks, including recommendation systems, decision support systems, and more.