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CHANGELOG.md

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1.3.0.post0

1.3.0

  • Added NetEaseCrowd dataset
  • Fixed bugs in RASA #71, relevance #74, MV #81, GLAD #83
  • Switched to MkDocs
  • Major typing improvements
  • Added more example notebooks
  • Set up PyPI Trusted Publishing

1.2.1

  • Bug fixes in RASA, HRRASA, and documentation

1.2.0

  • Crowd-Kit Learning subpackage introducing implementations of deep learning from crowds methods: CoNAL and CrowdLayer
  • Added Multi-Binary aggregation

1.1.0

  • New aggregation methods: One-Coin Dawid Skene, MACE, and KOS
  • Fixed bugs in Dawid-Skene implementation
  • Improved maintainability by removing stub files
  • Switched to setup.cfg from setup.py

1.0.0

  • Breaking change. Replaced all mentions of performer with worker; this affects parameter names and DataFrame and Series entries
  • GoldMajorityVote true_labels argument now supports multiple ground truth values for a single task
  • Added tol optimization parameter as a tolerance stopping criteria for iterative methods with a variable number of steps
  • Python 3.10 support added
  • Enhanced aggregation methods descriptions

0.0.9

  • Added TextSummarization aggregation
  • Added new datasets
  • Added entropy_threshold method
  • Added names for pd.Series which are available after fit
  • Added on_missing_skill and default_skill params for models that use skills

0.0.8

  • Added GLAD aggregation
  • Fixed #3 and #6

0.0.7

  • Added segmentation EM
  • Added ROVER
  • Fixed HRRASA and refactored TextRASA and TextHRRASA

0.0.6

  • Added realization of inter-annotator agreement coefficient (Krippendorff 1980): alpha_krippendorff
  • Added usage examples

0.0.5

  • Added aggregations for image segmentation problem: SegmentationMajorityVote and SegmentationRASA