Changes between Version 31 and Version 32 of GSoC/Ideas


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Timestamp:
03/21/11 15:44:43 (4 years ago)
Author:
blaz
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  • GSoC/Ideas

    v31 v32  
    6161Level from 1 (beginner) to 5 (professional): 3 
    6262 
    63 == More state-of-the-art regression algorithms == 
     63== A library for regression algorithms == 
    6464 
    6565Find and research state-of-the art regression algorithms found in other packages (R, Weka, ...) and choose the most important representatives not found in Orange. Then reimplement them in Orange. Another option is to add just the wrappers for external libraries if they are open-source and compatible enough. 
     
    7171== Multi-label classification == 
    7272 
    73 Orange lacks support for multi-label learning and classification -- on data-structure, algorithmic and GUI level. Update the structures, implement at least a few algorithms, adapt evaluation methods and add GUI support for it. A neat repository of literature on multi-label learning is ML&KD's web page [http://mlkd.csd.auth.gr/multilabel.html Learning from Multi-Label Data]. 
     73Orange lacks support for multi-label learning and classification -- on data-structure, algorithmic and GUI level. Update the structures, implement at least a few algorithms, adapt evaluation methods and add GUI support for it. A neat repository of literature on multi-label learning is ML&KD's web page [http://mlkd.csd.auth.gr/multilabel.html Learning from Multi-Label Data]. Also, there are excellent libraries for these methods in Java, like [http://mulan.sourceforge.net/ mulan], and one possibility is its reimplementation, testing, and crafting of nice documentation with examples in Orange. 
    7474 
    7575Useful skills: Python. C/C++. A bit of machine learning.