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@yzhuoning yzhuoning released this 31 Jul 03:36
· 38 commits to main since this release
v1.2.0
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What's New

We continuously update our library by making improvements and adding new features. If you use or like our library, please star⭐ this repo. Thank you!

Major Improvements

  • In this version,AUCMLoss can automatically compute imratio without requiring this input from users.
  • Renamed gamma to epoch_decay for PESG and PDSCA optimizers, i.e., epoch_decay = 1/gamma
  • Reimplemented ImbalancedDataGenerator for constructing imbalanced dataset for benchmarking. Tutorial is available here.
  • Improved implementations of APLoss by removing some redundant computations.
  • Merged SOAP_ADAM and SOAP_SGD optimizers into one optimizer SOAP. Tutorial is provided here.
  • Removed dependency of TensorFlow and now LibAUC only requires PyTorch installed .
  • Updated existing tutorials to match the new version of LibAUC. Tutorials are available here.

New Features

  • Introduced DualSampler, TriSampler for sampling data that best fit the x-risk optimization to balance inner and outer estimation error.
  • Introduced CompositionAUCLoss and PDSCA optimizer. Tutorial is provided here.
  • Introduced SogCLR with Dynamic Contrastive Loss for training Self-Supervised Learning models using small batch size. Tutorial and code are provided here.
  • Introduced NDCG_Loss and SONG optimizer for optimizing NDCG. Tutorials are provided here.
  • Introduced pAUCLoss with three optimizers: SOPA, SOPAs, SOTAs for optimizing Partial AUROC. Tutorials are provided here.
  • Added three evaluation functions: auc_roc_score (binary/multi-task), auc_prc_score (binary/multi-task) and pauc_roc_score(binary).

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