Contingency

Fast, vectorized metrology with binary contingency counts.

Rapidly calculate binary classifier metrics like MCC, F-Scores, and Average Precision Scores from scalar and binary predictions.

For an overview of features, usage, and performance, see the tutorial.

Installation

contingency is currently under review for release on the PyPi repository. Until then, a preview may be installed directly from github:

pip install git+https://github.com/usnistgov/Contingency.git

Contact the PI

Rachael Sexton

• rachael.sexton@nist.gov
• NIST Engineering Laboratory
• Systems Integration Division
• Information Modeling & Testing Group