| Name : R-ssc
| |
| Version : 2.1.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.2.13
| Date : 2024-06-14 11:23:31
|
| Group : Development/Libraries/Other
| Source RPM : R-ssc-2.1.0-lp153.2.13.src.rpm
|
| Size : 0.57 MB
| |
| Packager : (none)
| |
| Summary : Semi-Supervised Classification Methods
|
Description :
Provides a collection of self-labeled techniques for semi-supervised
classification. In semi-supervised classification, both labeled and
unlabeled data are used to train a classifier. This learning paradigm
has obtained promising results, specifically in the presence of a
reduced set of labeled examples. This package implements a collection
of self-labeled techniques to construct a classification model. This
family of techniques enlarges the original labeled set using the most
confident predictions to classify unlabeled data. The techniques
implemented can be applied to classification problems in several
domains by the specification of a supervised base classifier. At low
ratios of labeled data, it can be shown to perform better than
classical supervised classifiers.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
