| Name : R-LiblineaR
| |
| Version : 2.10.24
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp156.1.1
| Date : 2024-09-16 11:49:52
|
| Group : Development/Libraries/Other
| Source RPM : R-LiblineaR-2.10.24-lp156.1.1.src.rpm
|
| Size : 0.12 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Linear Predictive Models Based on the LIBLINEAR C/C++ Library
|
Description :
A wrapper around the LIBLINEAR C/C++ library for machine learning
(available at < https://www.csie.ntu.edu.tw/~cjlin/liblinear/>).
LIBLINEAR is a simple library for solving large-scale regularized
linear classification and regression. It currently supports
L2-regularized classification (such as logistic regression, L2-loss
linear SVM and L1-loss linear SVM) as well as L1-regularized
classification (such as L2-loss linear SVM and logistic regression) and
L2-regularized support vector regression (with L1- or L2-loss). The
main features of LiblineaR include multi-class classification
(one-vs-the rest, and Crammer & Singer method), cross validation for
model selection, probability estimates (logistic regression only) or
weights for unbalanced data. The estimation of the models is
particularly fast as compared to other libraries.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.6/x86_64 |
