cpmversion

The Classification and Regression Performance Metrics library

For classification/ranking: ROC AUC, BEDROC AUC, Enrichment Factor, Robust Initial Enhancement, Power Metric, Matthews' Correlation Coefficient, Platt scaling.

For regression: Root Mean Squared Error, Mean Absolute Error, r^2 coefficient of determination, Raw Regression Error Characteristic Curve.

Also features a TopKeeper module; to keep in memory the top 'k' scored items when dealing with very large datasets.

AuthorFrancois Berenger
LicenseLGPL-2.0-or-later
Published
Homepagehttps://github.com/UnixJunkie/cpmlib
Issue Trackerhttps://github.com/UnixJunkie/cpmlib/issues
Maintainerunixjunkie@sdf.org
Dependencies
Source [http] https://github.com/UnixJunkie/cpmlib/archive/v7.0.0.tar.gz
md5=73fadc305cc79e2931195697969194b9
StatisticsNot installed in the last month.
Edithttps://github.com/ocaml/opam-repository/tree/master/packages/cpm/cpm.7.0.0/opam
Required by