LIBOL

 

A Library for Online Learning Algorithms

Home · Change Log

Revision History:

  • 12/12/2013
    Version 0.3.0 main changes:

        • Add a template and guide for adding new algorithms;
        • Improve parameter settings and documentation ;
        • Improve documentation on data formats and key functions;

        • Amend the "OGD" function to use different loss types;
        • Make some names consistent and fixed some minor bugs

         

  • 23/09/2013
    Version 0.2.3 main changes:

        • Make the library fully compatible with Octave;
        • Include C/C++ function rand_c for random generator;
        • Include arg_check to check argument validation;
        • Fixed some other bugs.

         

  • 27/07/2013
    Version 0.2.0 main changes:
      • • Support online multicclass classification;
      • C/C++ implementation for core functions;
      • 16 algorithms and variants for binary classification;
      • 13 algorithms and variants for multiclass classification.

     

  • 27/12/2012
    Version 0.1.0: The MATLAB beta version is now availabe! It supports binary classification.

  • 6/7/2012
    The MATLAB alpha version is availabe for testing upon email request.

 

TODO list:

  • Incoporate the AUC maximization algorithms
  • Incorporate the cost-sensitive online learning algorithms
  • Incoporate the kernel-based online learning algorithms



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