Skip to content
Sections
>> Trisquel >> Packages >> aramo >> python >> python3-liblinear
etiona  ] [  nabia  ] [  aramo  ]
[ Source: liblinear  ]

Package: python3-liblinear (2.3.0+dfsg-5)

Links for python3-liblinear

python3-liblinear

Trisquel Resources:

Download Source Package liblinear:

Maintainer:

Original Maintainers:

  • Debian Science Maintainers (Mail Archive)
  • Christian Kastner
  • Chen-Tse Tsai
  • Michael Hudson-Doyle

External Resources:

Similar packages:

Python 3 bindings for LIBLINEAR

LIBLINEAR is a library for learning linear classifiers for large scale applications. It supports Support Vector Machines (SVM) with L2 and L1 loss, logistic regression, multi class classification and also Linear Programming Machines (L1-regularized SVMs). Its computational complexity scales linearly with the number of training examples making it one of the fastest SVM solvers around. It also provides Python bindings.

This package contains the Python 3 bindings.

Other Packages Related to python3-liblinear

  • depends
  • recommends
  • suggests
  • dep: liblinear4 (<< 2.3.0+dfsg-5.1~)
    Library for Large Linear Classification
    dep: liblinear4 (>= 2.3.0+dfsg-5)
  • dep: python3
    interactive high-level object-oriented language (default python3 version)

Download python3-liblinear

Download for all available architectures
Architecture Package Size Installed Size Files
all 15.7 kB58 kB [list of files]