macOS
Homebrewvérifié · 100%
brew install liblinearlocal Homebrew formula metadata
MacPortsvérifié · 94%
sudo port install liblinearMacPorts ports tree · math/liblinear/Portfile · Source: api.github.com
brew
Installer liblinear avec Homebrew, dnf, MacPorts, Nix, apt, apk, zypper
Consultez les chemins d'installation, exécutables, métadonnées et notes de sécurité de liblinear pour les workflows d'agents IA.
installation
Commandes d'installation supplémentaires
Linux
Fedora dnfvérifié · 92%
sudo dnf install liblinearFedora Rawhide package metadata · liblinear · Source: dl.fedoraproject.org
Nixvérifié · 92%
nix profile install nixpkgs#liblinearnixpkgs package indexes · pkgs/by-name/li/liblinear/package.nix · Source: api.github.com
Debian aptvérifié · 92%
sudo apt install liblinear-devDebian stable package indexes · liblinear-dev · Source: deb.debian.org
Alpine Linux apkvérifié · 92%
sudo apk add predictAlpine Linux edge package indexes · predict · Source: dl-cdn.alpinelinux.org
openSUSE zyppervérifié · 92%
sudo zypper install predictopenSUSE Tumbleweed package metadata · predict · Source: download.opensuse.org
aperçu
Résumé du paquet
Library for large linear classification
Liens du projet
Commandes et alias
- predict
- train
historique
Historique du projet et usages
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.
Historique du projet
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.
Historique d'adoption
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.
Modes d'utilisation
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.
Pourquoi les passionnés de paquets s'y intéressent
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.
Chronologie
- 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.
Sources
- 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
posture de sécurité
Niveau de risque : vert
library-like package without higher-risk signals.
Classificateur de risque
risque vert · confiance faible · appliance
Pourquoi
- library-like package without higher-risk signals
Signaux
- metadata:library-like
Comportement d'installation
- Aucun hook post-install Homebrew n’est enregistré dans les métadonnées de formule.
- Les métadonnées de bottle Homebrew sont disponibles pour 6 plateformes.
Revue recommandée
Avant une utilisation sans surveillance par un agent, vérifiez si l'outil lit des identifiants en clair, écrit un état distant, publie des artefacts ou lance des plugins.
exécutables
Exécutables installés
| Commande | Type | Exposition | Note |
|---|---|---|---|
predict | cli | exécutable global | |
train | cli | exécutable global |
fraîcheur
Version et fraîcheur
Ces signaux séparent l'âge de génération de la page, l'activité du gestionnaire de paquets et la comparaison avec les versions amont. Un retard de version n'est signalé que lorsqu'une URL de preuve et des versions comparables sont présentes.
page générée2026-07-10
version du gestionnaire2.50
gestionnaire mis à jour2026-06-19
données localesOK
amontnot checked
dernière version détectéenon détecté
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/confiance none
métadonnées d'installation
Métadonnées du paquet
| Clé du paquet | brew:liblinear |
|---|---|
| Version | 2.50 |
| Gestionnaire de paquets | Homebrew |
| Page du gestionnaire de paquets | https://formulae.brew.sh/formula/liblinear |
| Page d'accueil | https://www.csie.ntu.edu.tw/~cjlin/liblinear/ |
| Dépôt | https://github.com/cjlin1/liblinear |
| Docs amont | https://github.com/cjlin1/liblinear#readme |
| Licence | BSD-3-Clause |
| Archive source | https://www.csie.ntu.edu.tw/~cjlin/liblinear/oldfiles/liblinear-2.50.tar.gz |
| Dernière mise à jour | 2026-06-19T12:32:37-07:00 |
| Pulse | updated |
| Bouteille | disponible (sur arm64_linux, arm64_sequoia, arm64_sonoma, arm64_tahoe, sonoma, x86_64_linux) |
| post-install Homebrew | non défini |
| Service | aucun déclaré |
faits du registre
Détails de la base source
| 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 |
|
correspondances dans les bases sources
Autres enregistrements de gestionnaires de paquets
Les correspondances proviennent d’index externes de gestionnaires de paquets et restent séparées des liens de paquets Automic Vault locaux.
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 Dépendances
- normalized package name match
- Correspondance par : 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 Dépendances
- 1 dépendances optionnelles
- normalized package name match
- Correspondance par : 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 Dépendances
- 2 dépendances optionnelles
- normalized package name match
- Correspondance par : 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 Dépendances
- normalized package name match
- Correspondance par : Liblinear
Nix95%
liblinear
nix profile install nixpkgs#liblinear- normalized package name match
- Correspondance par : 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 Dépendances
- normalized package name match
- Correspondance par : 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 Dépendances
- 1 dépendances optionnelles
- normalized package name match
- Correspondance par : 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 Dépendances
- 2 dépendances optionnelles
- normalized package name match
- Correspondance par : 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 Dépendances
- normalized package name match
- Correspondance par : 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 Dépendances
- 2 fournit
- normalized package name match
- Correspondance par : 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 Dépendances
- 1 fournit
- normalized package name match
- Correspondance par : 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 Dépendances
- 2 fournit
- normalized package name match
- Correspondance par : 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 fournit
- normalized package name match
- Correspondance par : 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 Dépendances
- 3 fournit
- normalized package name match
- Correspondance par : Liblinear
MacPorts95%
liblinear
sudo port install liblinear- normalized package name match
- Correspondance par : 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 Dépendances
- 1 fournit
- installed executable or alias match
- Correspondance par : Predict
piste source
Généré depuis les données du dépôt
Cette page est servie par av-web depuis l'artéfact SQLite privé des paquets généré par scripts/generate-pkg-sqlite.py.
Combined YAML source
View the package source record on GitHub.
Sources utilisées
- 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