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.
| Author | Francois Berenger |
|---|---|
| License | LGPL-2.0-or-later |
| Published | |
| Homepage | https://github.com/UnixJunkie/cpmlib |
| Issue Tracker | https://github.com/UnixJunkie/cpmlib/issues |
| Maintainer | unixjunkie@sdf.org |
| Dependencies |
|
| Source [http] | https://github.com/UnixJunkie/cpmlib/archive/v10.2.1.tar.gz sha256=3d20d5d3760c0b3796022beb5e8f97c1e4c1e2717cb5927f5fb8a0b0e96eb285 md5=9fabbb7d06e147eb528edaf29bf43272 |
| Edit | https://github.com/ocaml/opam-repository/tree/master/packages/cpm/cpm.10.2.1/opam |
Required by
- hts_shrink>=3.0.1
- lbvs_consent>=1.1.3
- linwrap<9.0.0
- molenc>=7.0.1
- odnnr
- omlr
- oplsr
- orangerwith-test & <3.0.1
- orf<1.0.1
- orrandomForest>=2.0.1
- orsvm_e1071with-test
- orxgboostwith-test
- rankers
