Duplexity: Model Evaluation Metrics
Duplexity is a Python package that provides a set of deterministic and probabilistic metrics for evaluating the performance of machine learning models. It is designed to be easy to use and to provide a wide range of metrics for comparing data sets.
Note
This project is still in the early development stages. This means the code is constantly changing, and we currently don’t guarantee backwards compatibility when changes are made. Once a stable release of Duplexity is available, we will upload Duplexity to PyPI to make it pip-installable.
Useful links: Code repository