Crowd Kit Versions Save

Control the quality of your labeled data with the Python tools you already know.

v1.1.0.rc2

1 year ago

v1.1.0.rc1

1 year ago

v1.0.0

2 years ago

Not a backward-compatible change:

  • Replaced all mentions of "performer" with "worker". This change is not backward compatible because parameters names and DataFrame/Series columns are also affected.

Improvements:

  • 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.

v0.0.9

2 years ago
  • 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

v0.0.7

2 years ago
  • Added segmentation EM
  • Added ROVER
  • Fixed HRRASA and refactored TextRASA and TextHRRASA

v0.0.6

2 years ago

crowd-kit==0.0.6 release

v0.0.5

2 years ago

v0.0.4

3 years ago

v0.0.3

3 years ago