crowdkit.aggregation.embeddings.closest_to_average.ClosestToAverage.fit_predict_scores
| Source code
fit_predict_scores( self, data: DataFrame, aggregated_embeddings: Optional[Series] = None)
Fit the model and return the estimated scores.
Parameters | Type | Description |
---|---|---|
data | DataFrame | Workers' outputs with their embeddings. A pandas.DataFrame containing |
aggregated_embeddings | Optional[Series] | Tasks' embeddings. A pandas.Series indexed by |
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