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liblinear: A library for solving large-scale regularized linear classification and regression

liblinear is a simple package for solving large-scale regularized linear classification and regression.
It currently supports:
- L2-regularized logistic regression/L2-loss support vector classification/L1-loss support vector classification
- L1-regularized L2-loss support vector classification/L1-regularized logistic regression
- L2-regularized L2-loss support vector regression/L1-loss support vector regression.
Name:liblinear
Release: 2.47-1mamba
Group:System/Libraries
Maintainer:silvan
License:BSD
Size:245.25 kB
Upstream URL:https://www.csie.ntu.edu.tw/~cjlin/liblinear/
Build time:2023-07-10 19:15:56
Binary packages and requirements
x86_64
Built RPMSliblinear
liblinear-debug
liblinear-devel
liblinear-tools
Build requirementsgcc-c++ [1]
glibc-devel [1]
libatlas-devel [1]
libgcc [1]
libstdc++6-devel [1]
History of changes
DatePackagerReleaseDescription
2023-07-10autodist2.47-1mamba- automatic version update by autodist
2023-02-18autodist2.46-1mamba- automatic version update by autodist
2022-08-12autodist2.45-1mamba- automatic version update by autodist
2022-04-02autodist2.44-1mamba- automatic version update by autodist
2021-02-26autodist2.43-1mamba- automatic version update by autodist
2021-02-07autodist2.42-1mamba- automatic version update by autodist
2015-03-22davide1.96-2mamba- python-liblinear: provide the .pyc files
2015-03-22davide1.96-1mamba- package created by autospec