User Activity

  • Posted a comment on discussion General Discussion on MEKA

    Hi, Probably your data is multi-target and not multi-label so it is only using the multi-target metrics. As the target variables are thus not binary, only results for a restricted set of metrics can be produced. Although it could be argued that Precision, Recall and F1 scores may be applied also in multi-target evaluation, this is not currently implemented in Meka. Jesse

  • Modified ticket #16 on MEKA

    Unknown Values in Output Vectors Become 0 When Evaluating

  • Committed [398329]

    update for new release

  • Committed [r711]

    MEKA CODE REPOSITORY HAS NOW MOVED TO: https://...

  • Committed [r710]

    Final update to README, version number

  • Committed [r705]

    Markdown fixed in README

  • Committed [r704]

    Delete README.txt (has been replaced by README.md)

  • Committed [r703]

    README updated; changed from txt to markdown fo...

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Personal Data

Username:
jread82_nz
Joined:
2006-05-15 15:15:20
Location:
Helsinki / Finland / EEST
Gender:
Male
Web Site:
  1. http://users.ics.aalto.fi/~jesse/

Projects

This is a list of open source software projects that Jesse Read is associated with:

  • A2RMS Algorithm Implementation of the A2RMS Algorithm in Matlab Last Updated:
  • CJots   Last Updated:
  • DPFlib A distributed particle filter library for wireless sensor networks. Last Updated:
  • Project Logo MEKA A Multi-label Extension to Weka Last Updated:

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