Crowd-Kit Documentation

Overview
Aggregations
- Aggregation
  - Classification
    - DawidSkene
    - GLAD
    - GoldMajorityVote
    - MMSR
    - MajorityVote
    - Wawa
    - ZeroBasedSkill
  - Embeddings
    - ClosestToAverage
    - HRRASA
    - RASA
  - Image segmentation
    - SegmentationEM
    - SegmentationMajorityVote
    - SegmentationRASA
  - Pairwise
    - BradleyTerry
    - NoisyBradleyTerry
  - Texts
    - ROVER
    - TextHRRASA
    - TextRASA
    - TextSummarization
      - Overview
      - fit_predict
  - utils
- Datasets
  - get_datasets_list
  - load_dataset
- Metrics
  - Data
  - Workers
    - accuracy_on_aggregates
- Postprocessing
  - entropy_threshold

fit_predict

Parameters Description

crowdkit.aggregation.pairwise.bradley_terry.BradleyTerry.fit_predict | Source code

fit_predict(self, data: DataFrame)

Parameters Description

Parameters	Type	Description
`data`	DataFrame	Workers' pairwise comparison results. A pandas.DataFrame containing `worker`, `left`, `right`, and `label` columns'. For each row `label` must be equal to either `left` column or `right` column.

Returns:

'Labels' scores. A pandas.Series index by labels and holding corresponding label's scores
Return type:

Series

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