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
Optional dependencies
Source [http] https://github.com/UnixJunkie/cpmlib/archive/v12.1.1.tar.gz
sha256=6743c395e3e655c27b3790e368df2bcd48c99e189ac92bf07e50b3a64237ee2f
md5=cb0242aad4936b4b6dcca6a921ae209f
Edithttps://github.com/ocaml/opam-repository/tree/master/packages/cpm/cpm.12.1.2/opam