JBoost is a simple, robust system for classification. JBoost contains implementations of several boosting algorithms in an alternating decision tree framework. In addition, JBoost provides extensible software for adding more learning algorithms.
- RobustBoost is implemented - Improved the score visualizer - Deprecated BrownBoost, YadaBoost - Replaced multiclass wrapper in JBoost with a python script
- RobustBoost is implemented - Improved the score visualizer - Deprecated BrownBoost, YadaBoost - Replaced multiclass wrapper in JBoost with a python script
- RobustBoost is implemented - Improved the score visualizer - Deprecated BrownBoost, YadaBoost - Replaced multiclass wrapper in JBoost with a python script
See CHANGES file in the distro
See CHANGES file in the distro
See CHANGES file in the distro
- BrownBoost released - Added a few README files - Fixed path bug in jboost wrapper and nfold.py - Minor improvements to margin.py and error.py - Added options outputting serialized trees - Added some more misc documentation
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