Scilab Home Page | Wiki | Bug Tracker | Forge | Mailing List Archives | Scilab Online Help | File Exchange
ATOMS : libsvm and liblinear details
Login with GitLab

libsvm and liblinear

Libraries for SVM and large-scale linear classification
(3602 downloads for this version - 64128 downloads for all versions)
Details
Version
1.4.0
A more recent valid version with binaries for Scilab 5.3 exists: 1.4.1
Authors
Holger Nahrstaedt
Chih-Chung Chang
Chih-Jen Lin
Owner Organization
Technische Universitat Berlin
Maintainer
Holger Nahrstaedt
License
Creation Date
July 23, 2012
Source created on
Scilab 5.3.x
Binaries available on
Scilab 5.3.x:
Linux 32-bit Windows 32-bit Windows 64-bit macOS Linux 64-bit
Install command
--> atomsInstall("libsvm")
Description
            This tool provides a simple interface to LIBSVM, a library for support vector
machines (http://www.csie.ntu.edu.tw/~cjlin/libsvm).
It is very easy to use as
the usage and the way of specifying parameters are the same as that of LIBSVM.

This tool provides  also a simple interface to LIBLINEAR, a library for
large-scale regularized linear classification (http://www.csie.ntu.edu.tw/~cjlin/liblinear).
 It is very easy to use as the usage and the way of specifying parameters are
the same as that of LIBLINEAR.

This Toolbox is compatible with the NaN-toolbox!

Changelog
============
1.4.0
 - unit tests for libsvmwrite and libsvmread
 - fix issues 805, 806, 808, 809, 813, 814, 
 - renaming of the following functions:
   *svmtrain > libsvm_svmtrain
   *svmpredict > libsvm_svmpredict
   *train > libsvm_lintrain
   *predict > libsvm_linpredict
   *svmconfmat > libsvm_confmat
   *svmgrid > libsvm_grid
   *svmgridlinear > libsvm_gridlinear
   *svmnormalize > libsvm_normalize
   *svmpartest > libsvm_partest
   *svmrocplot > libsvm_rocplot
   *svmscale > libsvm_scale
   *svmtoy > libsvm_toy
1.3.1
 - compatible with scilab-5.4.0-beta-1 and  scilab-5.4.0-alpha-1 or lower
1.3
 - compatible with scilab-5.4.0-beta-1
 - incompatible with scilab-5.4.0-alpha-1 and lower
 - fix several bugs in examples
 - fix precomputed kernel bug in svmtrain
 - LIBLINEAR is updated to 1.91
 - LIBSVM is updated to 3.12
1.2.2
 - some bug fixes
 - help files improved
1.2.1
 - svmtoy added
 - improved error handling in sci_gateway
 - improved help files
 - bug in performance demo removed
1.2
 - the Nan-Toolbox 1.3 is compatible to this toolbox now!
 - improved help-files
 - improved demos
 - LIBLINEAR with optional instance weight support
1.1
 - improved demos
 - works under Windows
 - new function: svmnormalize 
1.0
 - first release of libsvm - toolbox




This interface was initially written by Jun-Cheng Chen, Kuan-Jen Peng,
Chih-Yuan Yang and Chih-Huai Cheng from Department of Computer
Science, National Taiwan University. 

It was converted to Scilab 5.3 by Holger Nahrstaedt from TU Berlin.

If you find this tool useful, please cite LIBSVM as follows

Chih-Chung Chang and Chih-Jen Lin, LIBSVM : a library for support
vector machines. ACM Transactions on Intelligent Systems and
Technology, 2:27:1--27:27, 2011. Software available at
http://www.csie.ntu.edu.tw/~cjlin/libsvm

Please cite LIBLINEAR as follows

R.-E. Fan, K.-W. Chang, C.-J. Hsieh, X.-R. Wang, and C.-J. Lin.
LIBLINEAR: A Library for Large Linear Classification, Journal of
Machine Learning Research 9(2008), 1871-1874.Software available at
http://www.csie.ntu.edu.tw/~cjlin/liblinear

            
Files (6)
[125.33 kB]
Source code archive

[206.01 kB]
Linux 32-bit binary for Scilab 5.3.x
Linux 32-bit
Automatically generated by the ATOMS compilation chain

[293.37 kB]
Windows 32-bit binary for Scilab 5.3.x
Windows 32-bit
Automatically generated by the ATOMS compilation chain

[310.77 kB]
Windows 64-bit binary for Scilab 5.3.x
Windows 64-bit
Automatically generated by the ATOMS compilation chain

[200.67 kB]
macOS binary for Scilab 5.3.x
MacOSX version
Automatically generated by the ATOMS compilation chain

[211.76 kB]
Linux 64-bit binary for Scilab 5.3.x
Linux 64-bit
Automatically generated by the ATOMS compilation chain

News (0)
Comments (0)
Leave a comment
You must register and log in before leaving a comment.
Login with GitLab
Email notifications
Send me email when this toolbox has changes, new files or a new release.
You must register and log in before setting up notifications.