macOS
Homebrewverifiziert · 100%
brew install liblinearlocal Homebrew formula metadata
MacPortsverifiziert · 94%
sudo port install liblinearMacPorts ports tree · math/liblinear/Portfile · Quelle: api.github.com
brew
liblinear mit Homebrew, dnf, MacPorts, Nix, apt, apk, zypper installieren
Prüfe Installationswege, Executables, Metadaten und Sicherheitshinweise für liblinear in AI-Agent-Workflows.
Installation
Weitere Installationsbefehle
Linux
Fedora dnfverifiziert · 92%
sudo dnf install liblinearFedora Rawhide package metadata · liblinear · Quelle: dl.fedoraproject.org
Nixverifiziert · 92%
nix profile install nixpkgs#liblinearnixpkgs package indexes · pkgs/by-name/li/liblinear/package.nix · Quelle: api.github.com
Debian aptverifiziert · 92%
sudo apt install liblinear-devDebian stable package indexes · liblinear-dev · Quelle: deb.debian.org
Alpine Linux apkverifiziert · 92%
sudo apk add predictAlpine Linux edge package indexes · predict · Quelle: dl-cdn.alpinelinux.org
openSUSE zypperverifiziert · 92%
sudo zypper install predictopenSUSE Tumbleweed package metadata · predict · Quelle: download.opensuse.org
Überblick
Paketzusammenfassung
Library for large linear classification
Projektlinks
Befehle und Aliase
- predict
- train
Verlauf
Projektgeschichte und Nutzung
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.
Projektgeschichte
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.
Adoptionsgeschichte
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.
Wie es verwendet wird
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.
Warum Paket-Nerds sich dafür interessieren
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.
Zeitleiste
- 2008: LIBLINEAR paper submitted in May and published in JMLR in August.
- 2014: Public GitHub mirror created on May 19, 2014.
- 2022: NTU-hosted LIBLINEAR paper PDF marked last modified on March 5, 2022.
- 2025: GitHub repository metadata recorded push activity on December 29, 2025.
Related projects
- LIBSVM is the closest related project and the source of much of the package style, data-format familiarity, and user workflow.
- scikit-learn exposes LIBLINEAR as a solver option in LogisticRegression, carrying the implementation into the Python scientific ecosystem.
Quellen
- https://api.github.com/repos/cjlin1/liblinear
- https://github.com/cjlin1/liblinear
- https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html
- https://www.csie.ntu.edu.tw/~cjlin/liblinear/
- https://www.csie.ntu.edu.tw/~cjlin/papers/liblinear.pdf
- https://www.jmlr.org/papers/v9/fan08a.html
Sicherheitslage
Risikostufe: grün
library-like package without higher-risk signals.
Risikoklassifikator
grün Risiko · niedrig Konfidenz · appliance
Warum
- library-like package without higher-risk signals
Signale
- metadata:library-like
Installationsverhalten
- In den Formelmetadaten ist kein Homebrew-Post-install-Hook erfasst.
- Homebrew-Bottle-Metadaten sind für 6 Plattformziele verfügbar.
Empfohlene Prüfung
Prüfe vor unbeaufsichtigter Agent-Nutzung, ob das Tool Klartext-Credentials liest, Remote-Zustand schreibt, Artefakte veröffentlicht oder Plugins ausführt.
Executables
Installierte Executables
| Befehl | Art | Sichtbarkeit | Hinweis |
|---|---|---|---|
predict | cli | globales Executable | |
train | cli | globales Executable |
Aktualität
Version und Aktualität
Diese Signale trennen das Alter der Seitengenerierung, Aktivität des Paketmanagers und Upstream-Release-Vergleich. Versionsrückstand wird nur gemeldet, wenn eine Evidenz-URL und vergleichbare Versionen vorhanden sind.
Seite generiert2026-07-10
Manager-Version2.50
Manager aktualisiert2026-06-19
lokale DatenOK
Upstreamnot checked
neueste erkannte Versionnicht erkannt
https://www.csie.ntu.edu.tw/~cjlin/liblinear/
- InfoRelease/tag comparison is only available for GitHub repositories.https://www.csie.ntu.edu.tw/~cjlin/liblinear/none Konfidenz
Installationsmetadaten
Paketmetadaten
| Paketschlüssel | brew:liblinear |
|---|---|
| Version | 2.50 |
| Paketmanager | Homebrew |
| Paketmanager-Seite | https://formulae.brew.sh/formula/liblinear |
| Homepage | https://www.csie.ntu.edu.tw/~cjlin/liblinear/ |
| Repository | https://github.com/cjlin1/liblinear |
| Upstream-Dokumentation | https://github.com/cjlin1/liblinear#readme |
| Lizenz | BSD-3-Clause |
| Quellarchiv | https://www.csie.ntu.edu.tw/~cjlin/liblinear/oldfiles/liblinear-2.50.tar.gz |
| Zuletzt aktualisiert | 2026-06-19T12:32:37-07:00 |
| Pulse | updated |
| Bottle | verfügbar (auf arm64_linux, arm64_sequoia, arm64_sonoma, arm64_tahoe, sonoma, x86_64_linux) |
| Homebrew post-install | nicht definiert |
| Dienst | keiner deklariert |
Registry-Fakten
Details aus der Quelldatenbank
| 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 |
|
Source-Datenbank-Treffer
Andere Paketmanager-Einträge
Treffer stammen aus externen Paketmanager-Indizes und bleiben von lokalen Automic-Vault-Paketlinks getrennt.
Debian apt95%
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-dev- Section: libdevel
- Architecture: amd64
- Source Package: liblinear
- 3 Abhängigkeiten
- normalized package name match
- Abgeglichen nach: Liblinear
Debian apt95%
liblinear-tools 2.3.0+dfsg-5+b2
Standalone applications for LIBLINEAR
https://www.csie.ntu.edu.tw/~cjlin/liblinear/
sudo apt install liblinear-tools- Section: science
- Architecture: amd64
- Source Package: liblinear
- 2 Abhängigkeiten
- 1 optionale Abhängigkeiten
- normalized package name match
- Abgeglichen nach: Liblinear
Debian apt95%
liblinear4 2.3.0+dfsg-5+b2
Library for Large Linear Classification
https://www.csie.ntu.edu.tw/~cjlin/liblinear/
sudo apt install liblinear4- Section: libs
- Architecture: amd64
- Source Package: liblinear
- 5 Abhängigkeiten
- 2 optionale Abhängigkeiten
- normalized package name match
- Abgeglichen nach: Liblinear
Debian apt95%
python3-liblinear 2.3.0+dfsg-5
Python 3 bindings for LIBLINEAR
https://www.csie.ntu.edu.tw/~cjlin/liblinear/
sudo apt install python3-liblinear- Section: python
- Architecture: all
- Source Package: liblinear
- 2 Abhängigkeiten
- normalized package name match
- Abgeglichen nach: Liblinear
Nix95%
liblinear
nix profile install nixpkgs#liblinear- normalized package name match
- Abgeglichen nach: Liblinear
Ubuntu apt95%
liblinear-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-dev- Section: universe/libdevel
- Architecture: amd64
- Source Package: liblinear
- 3 Abhängigkeiten
- normalized package name match
- Abgeglichen nach: Liblinear
Ubuntu apt95%
liblinear-tools 2.3.0+dfsg-5build1
Standalone applications for LIBLINEAR
https://www.csie.ntu.edu.tw/~cjlin/liblinear/
sudo apt install liblinear-tools- Section: universe/science
- Architecture: amd64
- Source Package: liblinear
- 2 Abhängigkeiten
- 1 optionale Abhängigkeiten
- normalized package name match
- Abgeglichen nach: Liblinear
Ubuntu apt95%
liblinear4 2.3.0+dfsg-5build1
Library for Large Linear Classification
https://www.csie.ntu.edu.tw/~cjlin/liblinear/
sudo apt install liblinear4- Section: universe/libs
- Architecture: amd64
- Source Package: liblinear
- 5 Abhängigkeiten
- 2 optionale Abhängigkeiten
- normalized package name match
- Abgeglichen nach: Liblinear
Ubuntu apt95%
python3-liblinear 2.3.0+dfsg-5build1
Python 3 bindings for LIBLINEAR
https://www.csie.ntu.edu.tw/~cjlin/liblinear/
sudo apt install python3-liblinear- Section: universe/python
- Architecture: all
- Source Package: liblinear
- 2 Abhängigkeiten
- normalized package name match
- Abgeglichen nach: Liblinear
dnf95%
liblinear 1.94-47.fc45
Library for Large Linear Classification
http://www.csie.ntu.edu.tw/~cjlin/liblinear
sudo dnf install liblinear- License: LicenseRef-Callaway-BSD
- Category: Unspecified
- Architecture: i686
- Source Package: liblinear
- 6 Abhängigkeiten
- 2 stellt bereit
- normalized package name match
- Abgeglichen nach: Liblinear
dnf95%
liblinear-cli 1.94-47.fc45
CLI-tools for liblinear
http://www.csie.ntu.edu.tw/~cjlin/liblinear
sudo dnf install liblinear-cli- License: LicenseRef-Callaway-BSD
- Category: Unspecified
- Architecture: x86_64
- Source Package: liblinear
- 7 Abhängigkeiten
- 1 stellt bereit
- normalized package name match
- Abgeglichen nach: Liblinear
dnf95%
liblinear-devel 1.94-47.fc45
Development files for liblinear
http://www.csie.ntu.edu.tw/~cjlin/liblinear
sudo dnf install liblinear-devel- License: LicenseRef-Callaway-BSD
- Category: Unspecified
- Architecture: i686
- Source Package: liblinear
- 3 Abhängigkeiten
- 2 stellt bereit
- normalized package name match
- Abgeglichen nach: Liblinear
dnf95%
liblinear-doc 1.94-47.fc45
Documentation files for liblinear
http://www.csie.ntu.edu.tw/~cjlin/liblinear
sudo dnf install liblinear-doc- License: LicenseRef-Callaway-BSD
- Category: Unspecified
- Architecture: noarch
- Source Package: liblinear
- 1 stellt bereit
- normalized package name match
- Abgeglichen nach: Liblinear
dnf95%
python3-liblinear 1.94-47.fc45
Python3 bindings for liblinear
http://www.csie.ntu.edu.tw/~cjlin/liblinear
sudo dnf install python3-liblinear- License: LicenseRef-Callaway-BSD
- Category: Unspecified
- Architecture: x86_64
- Source Package: liblinear
- 2 Abhängigkeiten
- 3 stellt bereit
- normalized package name match
- Abgeglichen nach: Liblinear
MacPorts95%
liblinear
sudo port install liblinear- normalized package name match
- Abgeglichen nach: Liblinear
apk92%
predict 2.3.1-r0
Multi-user satellite tracking and orbital prediction program
https://www.qsl.net/kd2bd/predict.html
sudo apk add predict- License: GPL-2.0-or-later
- Architecture: x86_64
- Source Package: predict
- 1 Abhängigkeiten
- 1 stellt bereit
- installed executable or alias match
- Abgeglichen nach: Predict
Quellspur
Aus Repository-Daten generiert
Diese Seite wird von av-web aus dem privaten Paket-SQLite-Artefakt bereitgestellt, das scripts/generate-pkg-sqlite.py erstellt.
Combined YAML source
View the package source record on GitHub.
Verwendete Quellen
- Geiger risk classifier
- Nucleus package database
- av.db category and tag curation
- cross-ecosystem install command graph
- curated package history
- external package-manager database matches
- package relationship graph
- package version freshness
- package-page enrichment