crowdkit.aggregation.classification.majority_vote.MajorityVote.fit_predict_proba
| Source code
fit_predict_proba( self, data: DataFrame, skills: Optional[Series] = None)
Fit the model and return probability distributions on labels for each task.
Parameters | Type | Description |
---|---|---|
data | DataFrame | Workers' labeling results. A pandas.DataFrame containing |
skills | Optional[Series] | workers' skills. A pandas.Series index by workers and holding corresponding worker's skill |
Returns:
Tasks' label probability distributions.
A pandas.DataFrame indexed by task
such that result.loc[task, label]
is the probability of task
's true label to be equal to label
. Each
probability is between 0 and 1, all task's probabilities should sum up to 1
Return type:
DataFrame