utiml-0.1.2

Major changes

• change base.method parameter name for base.algorithm

Bug fixes

• Bugfix in homer to deal with labels without instances and to predict instances
  based on the meta-label scores
• Refactory of merge_mlconfmat
• Ensure reproducibility in all cases

utiml-0.1.1

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

utiml-0.1.0

Initial version of utiml