LIBLINEAR 2.48

Full internal name:liblinear
Project site:http://www.csie.ntu.edu.tw/~cjlin/liblinear/
Screen shots:
Download: Download LIBLINEAR 2.48

http://www.csie.ntu.edu.tw/~cjlin/cgi-bin/liblinear.cgi?+http://www.csie.ntu.edu.tw/~cjlin/liblinear+zip

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Change log:n/a
Description:

WARNING: this package always installs the newest version of the software.

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
License:unknown
Version:2.48
SHA-1 or SHA-256:
Type:zip
Dependencies:
    Tags:
    Text files:
    .Npackd\Install.bat:
    for /f "delims=" %%x in ('dir /b liblinear*') do set name=%%x
    cd "%name%"
    for /f "delims=" %%a in ('dir /b') do (
      move "%%a" ..
    )
    cd ..
    rmdir "%name%"
    
    Last modified:Sun Jan 05 05:06:42 UTC 2025
    Last modified by:tim.lebedk...
    Created:Sun Jan 05 05:06:42 UTC 2025
    Created by:tim.lebedk...
    Automated tests:2 of 6 installations succeeded, 2 of 2 removals succeeded