* Added [NetEaseCrowd](https://github.com/fuxiAIlab/NetEaseCrowd-Dataset) 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
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* Bug fixes in RASA, HRRASA, and documentation
1.2.0
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* 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
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* **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