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_score

Parameters Description

crowdkit.aggregation.classification.m_msr.MMSR.fit_predict_score | Source code

fit_predict_score(self, data: DataFrame)

Fit the model and return the total sum of weights for each label.

Parameters Description

Parameters	Type	Description
`data`	DataFrame	Workers' labeling results. A pandas.DataFrame containing `task`, `worker` and `label` columns.

Returns:

Tasks' label scores. A pandas.DataFrame indexed by task such that result.loc[task, label] is the score of label for task.
Return type:

DataFrame

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