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utiml-0.1.1
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@rivolli rivolli released this 19 Nov 20:42
· 77 commits to master since this release
0.1.1
fef6f09

New multi-label transformation methods including pairwise and multiclass
approaches; also, some bug fixes.

Major changes

  • lcard threshold calibration
  • Use categorical attributes in multilabel datasets and methods
  • LIFT multi-label classification method
  • RPC multi-label classification method
  • CRL multi-label classification method
  • LP multi-label classification method
  • RAkEL multi-label classification method
  • BASELINE multi-label classification method
  • PPT multi-label classification method
  • PS multi-label classification method
  • EPS multi-label classification method
  • HOMER multi-label classification method

Minor changes

  • Add Empty Model as base method to fix training labels with few examples
  • multilabel_confusion_matrix accepts a data.frame or matrix with the predicitons
  • Change EBR and ECC to use threshold calibration
  • Include empty.prediction configuration to enable/disable empty predictions

Bug fixes

  • Majority Ensemble Predictions Votes
  • Majority Ensemble Predictions Probability
  • Base method not found message error
  • Base method support any attribute names
  • Normalize data ignore attributes with a single value
  • MBR support labels without positive examples
  • Fix average precision and coverage measures to support instances without labels
Assets 2