skactiveml.pool.vote_entropy#
- skactiveml.pool.vote_entropy(votes, classes)[source]#
Calculates the vote entropy for measuring the level of disagreement in QueryByCommittee.
- Parameters
- votesarray-like, shape (n_samples, n_estimators)
The class predicted by the estimators for each sample.
- classesarray-like, shape (n_classes)
A list of all possible classes.
- Returns
- vote_entropynp.ndarray of shape (n_samples,)
The vote entropy of each row in votes.
References
- 1
Engelson, Sean P., and Ido Dagan. “Minimizing Manual Annotation Cost in Supervised Training from Corpora.” In Annual Meeting of the Association for Computational Linguistics, pages 319-326, 1996.