| Name : R-MLPUGS
| |
| Version : 0.2.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.2.13
| Date : 2024-06-14 11:02:57
|
| Group : Development/Libraries/Other
| Source RPM : R-MLPUGS-0.2.0-lp153.2.13.src.rpm
|
| Size : 0.13 MB
| |
| Packager : (none)
| |
| Summary : Multi-Label Prediction Using Gibbs Sampling (and Classifier Chains)
|
Description :
An implementation of classifier chains (CC\'s) for multi-label
prediction. Users can employ an external package (e.g. \'randomForest\',
\'C50\'), or supply their own. The package can train a single set of CC\'s
or train an ensemble of CC\'s -- in parallel if running in a multi-core
environment. New observations are classified using a Gibbs sampler
since each unobserved label is conditioned on the others. The package
includes methods for evaluating the predictions for accuracy and
aggregating across iterations and models to produce binary or
probabilistic classifications.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
