Automated test on push, PR, R; including Coverage reporting

PhasesResearchLab / pySIPFENN

Python python toolset for Structure-Informed Property and Feature Engineering with Neural Networks. It offers unique advantages through (1) effortless extensibility, (2) optimizations for ordered, dilute, and random atomic configurations, and (3) automated model tuning.

https://pysipfenn.org

Other

19 stars 3 forks source link

Automated test on push, PR, R; including Coverage reporting #6

Closed amkrajewski closed 1 year ago

amkrajewski commented 1 year ago

Partial tests tests featurizer and other core functions - quick and easy
Full tests fetch all required networks from Zenodo before running and test everything
Full tests report test coverage to Codecov