macOS
brew install liblinearlocal Homebrew formula metadata
sudo port install liblinearMacPorts ports tree · math/liblinear/Portfile · 来源: api.github.com
安装
brew install liblinearlocal Homebrew formula metadata
sudo port install liblinearMacPorts ports tree · math/liblinear/Portfile · 来源: api.github.com
sudo dnf install liblinearFedora Rawhide package metadata · liblinear · 来源: dl.fedoraproject.org
nix profile install nixpkgs#liblinearnixpkgs package indexes · pkgs/by-name/li/liblinear/package.nix · 来源: api.github.com
sudo apt install liblinear-devDebian stable package indexes · liblinear-dev · 来源: deb.debian.org
sudo apk add predictAlpine Linux edge package indexes · predict · 来源: dl-cdn.alpinelinux.org
sudo zypper install predictopenSUSE Tumbleweed package metadata · predict · 来源: download.opensuse.org
概览
Library for large linear classification
历史
LIBLINEAR is a National Taiwan University machine-learning package for large-scale regularized linear classification, regression, and outlier detection. It pairs a C/C++ library with simple command-line tools such as train and predict, making linear SVM and logistic-regression models accessible from scripts and other software.
The LIBLINEAR paper was submitted to the Journal of Machine Learning Research in May 2008 and published in August 2008 by Rong-En Fan, Kai-Wei Chang, Cho-Jui Hsieh, Xiang-Rui Wang, and Chih-Jen Lin. The paper presents LIBLINEAR as an open source library for large-scale linear classification with easy command-line tools and library calls.
LIBLINEAR was designed as a sibling to LIBSVM for cases where a linear model is appropriate and kernel methods are too expensive. The README explicitly advises beginners with small data sets to consider LIBSVM first, while pointing to LIBLINEAR for large data where nonlinear mappings do not materially improve performance.
The public GitHub mirror was created on May 19, 2014, giving the project a familiar source-control home for packagers and downstream wrappers.
LIBLINEAR spread through both command-line use and embedding. Its stable file format, simple executables, MATLAB/OCTAVE interface, Python interface, and C API made it easy to package and wrap.
One visible downstream adoption path is scikit-learn, whose LogisticRegression documentation exposes a 'liblinear' solver for L1 and L2 regularization. That made the project familiar even to Python users who never invoke the original train and predict binaries.
The canonical workflow is to build the package with make, train a model from sparse feature data using train, and apply the model with predict. The README describes the LIBSVM-style data format, included heart_scale example, solver selection, cross validation, and parameter search.
LIBLINEAR is package-nerd catnip because it is a small, fast C/C++ implementation of a heavily cited ML method with stable Unix-style tools. It is the kind of dependency that appears behind higher-level language bindings while still remaining useful as a direct CLI package.
安全态势
library-like package without higher-risk signals.
绿色 风险 · 低 置信度 · appliance
在无人值守的代理使用前,请检查该工具是否读取明文凭据、写入远程状态、发布制品或调用插件。
可执行文件
| 命令 | 类型 | 暴露范围 | 备注 |
|---|---|---|---|
predict | cli | 全局可执行文件 | |
train | cli | 全局可执行文件 |
新鲜度
这些信号区分页生成时间、软件包管理器活动和上游发布比较。只有存在证据 URL 和可比较版本时,才会提示版本落后。
https://www.csie.ntu.edu.tw/~cjlin/liblinear/
安装元数据
| 软件包键 | brew:liblinear |
|---|---|
| 版本 | 2.50 |
| 软件包管理器 | Homebrew |
| 软件包管理器页面 | https://formulae.brew.sh/formula/liblinear |
| 主页 | https://www.csie.ntu.edu.tw/~cjlin/liblinear/ |
| 仓库 | https://github.com/cjlin1/liblinear |
| 上游文档 | https://github.com/cjlin1/liblinear#readme |
| 许可证 | BSD-3-Clause |
| 源码归档 | https://www.csie.ntu.edu.tw/~cjlin/liblinear/oldfiles/liblinear-2.50.tar.gz |
| 最后更新 | 2026-06-19T12:32:37-07:00 |
| Pulse | updated |
| Bottle | 可用 (于 arm64_linux, arm64_sequoia, arm64_sonoma, arm64_tahoe, sonoma, x86_64_linux) |
| Homebrew post-install | 未定义 |
| 服务 | 未声明 |
注册表事实
| Source Database | Homebrew formula API |
|---|---|
| Tap | homebrew/core |
| Full Name | liblinear |
| Version Scheme | 0 |
| Revision | 0 |
| Head Version | HEAD |
| Bottle Stable Root URL | https://ghcr.io/v2/homebrew/core |
| Deprecated | no |
| Disabled | no |
| Keg Only | no |
| URL Keys |
|
源数据库匹配
匹配项来自外部软件包管理器索引,并与本地 Automic Vault 软件包链接分开显示。
liblinear-dev 2.3.0+dfsg-5+b2
Development libraries and header files for LIBLINEAR
https://www.csie.ntu.edu.tw/~cjlin/liblinear/
sudo apt install liblinear-devliblinear-tools 2.3.0+dfsg-5+b2
Standalone applications for LIBLINEAR
https://www.csie.ntu.edu.tw/~cjlin/liblinear/
sudo apt install liblinear-toolsliblinear4 2.3.0+dfsg-5+b2
Library for Large Linear Classification
https://www.csie.ntu.edu.tw/~cjlin/liblinear/
sudo apt install liblinear4python3-liblinear 2.3.0+dfsg-5
Python 3 bindings for LIBLINEAR
https://www.csie.ntu.edu.tw/~cjlin/liblinear/
sudo apt install python3-liblinearliblinear
nix profile install nixpkgs#liblinearliblinear-dev 2.3.0+dfsg-5build1
Development libraries and header files for LIBLINEAR
https://www.csie.ntu.edu.tw/~cjlin/liblinear/
sudo apt install liblinear-devliblinear-tools 2.3.0+dfsg-5build1
Standalone applications for LIBLINEAR
https://www.csie.ntu.edu.tw/~cjlin/liblinear/
sudo apt install liblinear-toolsliblinear4 2.3.0+dfsg-5build1
Library for Large Linear Classification
https://www.csie.ntu.edu.tw/~cjlin/liblinear/
sudo apt install liblinear4python3-liblinear 2.3.0+dfsg-5build1
Python 3 bindings for LIBLINEAR
https://www.csie.ntu.edu.tw/~cjlin/liblinear/
sudo apt install python3-liblinearliblinear 1.94-47.fc45
Library for Large Linear Classification
http://www.csie.ntu.edu.tw/~cjlin/liblinear
sudo dnf install liblinearliblinear-cli 1.94-47.fc45
CLI-tools for liblinear
http://www.csie.ntu.edu.tw/~cjlin/liblinear
sudo dnf install liblinear-cliliblinear-devel 1.94-47.fc45
Development files for liblinear
http://www.csie.ntu.edu.tw/~cjlin/liblinear
sudo dnf install liblinear-develliblinear-doc 1.94-47.fc45
Documentation files for liblinear
http://www.csie.ntu.edu.tw/~cjlin/liblinear
sudo dnf install liblinear-docpython3-liblinear 1.94-47.fc45
Python3 bindings for liblinear
http://www.csie.ntu.edu.tw/~cjlin/liblinear
sudo dnf install python3-liblinearliblinear
sudo port install liblinearpredict 2.3.1-r0
Multi-user satellite tracking and orbital prediction program
https://www.qsl.net/kd2bd/predict.html
sudo apk add predict来源线索
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View the package source record on GitHub.