skactiveml.pool.variation_ratios#

skactiveml.pool.variation_ratios(votes)[source]#

Calculates the variation ratios for measuring the level of disagreement in QueryByCommittee.

Parameters
votesarray-like of shape (n_samples, n_estimators)

The class predicted by the estimators for each sample.

Returns
scoresnp.ndarray of shape (n_samples,)

The variation ratios of each row in votes.

References

1

Beluch, W. H., Genewein, T., Nürnberger, A., and Köhler, J. M. The Power of Ensembles for Active Learning in Image Classification. In Conference on Computer Vision and Pattern Recognition, pages 9368-9377, 2018.