Crowd-kit

Latest version: v1.4.1

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1.1.0

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* 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

0.0.9

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* 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

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* Added GLAD aggregation
* Fixed 3 and 6

0.0.7

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

0.0.6

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

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