./math/liblinear, Library for large linear classification

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Branch: CURRENT, Version: 2.47, Package name: liblinear-2.47, Maintainer: cheusov

LIBLINEAR is a linear classifier for data with millions of instances
and features. It supports
L2-regularized classifiers
L2-loss linear SVM, L1-loss linear SVM, and logistic regression (LR)
L1-regularized classifiers (after version 1.4)
L2-loss linear SVM and logistic regression (LR)
L2-regularized support vector regression (after version 1.9)
L2-loss linear SVR and L1-loss linear SVR.
Main features of LIBLINEAR include
Same data format as LIBSVM, our general-purpose SVM solver,
and also similar usage
Multi-class classification: 1) one-vs-the rest, 2) Crammer & Singer
Cross validation for model selection
Probability estimates (logistic regression only)
Weights for unbalanced data
MATLAB/Octave, Java, Python, Ruby interfaces


Required to build:
[pkgtools/cwrappers]

Master sites:

Filesize: 555.757 KB

Version history: (Expand)

CVS history: (Expand)


   2024-02-05 22:11:45 by Adam Ciarcinski | Files touched by this commit (4) | Package updated
Log message:
liblinear: updated to 2.47

Version 2.47 released on July 9, 2023. We fix some minor bugs.
   2021-10-26 12:56:13 by Nia Alarie | Files touched by this commit (458) 
Log message:
math: Replace RMD160 checksums with BLAKE2s checksums

All checksums have been double-checked against existing RMD160 and
SHA512 hashes
   2021-10-07 16:28:36 by Nia Alarie | Files touched by this commit (458) 
Log message:
math: Remove SHA1 hashes for distfiles
   2021-04-16 08:48:04 by Adam Ciarcinski | Files touched by this commit (2) | Package updated
Log message:
liblinear: updated to 2.43

Version 2.43
Installing the Python interface through PyPI is supported.

Version 2.42
For dual CD solvers (logistic/l2 losses but not l1 loss), if a maximal number of \ 
iterations is reached, LIBLINEAR directly switches to run a primal Newton \ 
solver.
   2020-10-28 20:32:33 by Adam Ciarcinski | Files touched by this commit (3) | Package updated
Log message:
liblinear: updated to 2.41

Version 2.41 released on July 29, 2020 (some bug fixes of version 2.40).

Version 2.40 released on July 22, 2020.
A new solver: dual coordinate descent method for linear one-class SVM; see the paper
The Newton solver is updated to have faster training speed; see the release note
A new option -R to allow users not to regularize bias (when -B 1 is used)
   2017-11-15 23:12:56 by Thomas Klausner | Files touched by this commit (1) 
Log message:
liblinear: follow redirects
   2017-11-10 17:18:47 by Pierre Pronchery | Files touched by this commit (4) 
Log message:
Add support for CFLAGS and LDFLAGS

This notably fixes building with RELRO enabled.

Bump PKGREVISION, since this generates a different binary now that SSP and
FORTIFY are enabled.
   2017-05-21 12:40:28 by Adam Ciarcinski | Files touched by this commit (4) | Package updated
Log message:
Changes 2.11:
We have improved the trust-region update rule in the primal-based Newton method. \ 
It's significantly faster (e.g., twice faster or more) on some problems (see the \ 
technical report).
We now support scipy objects in the Python interface