Source code for asreview.models.query.uncertainty

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"""Uncertainty sampling while saving probabilities."""

__all__ = ["UncertaintyQuery"]

import numpy as np

from asreview.models.query.base import ProbaQueryStrategy


[docs] class UncertaintyQuery(ProbaQueryStrategy): """Uncertainty query strategy (``uncertainty``). Choose the most uncertain samples according to the model (i.e. closest to 0.5 probability). Doesn’t work very well in the case of LSTM’s, since the probabilities are rather arbitrary. """ name = "uncertainty" label = "Uncertainty" def _query(self, predictions, n_instances, X=None): uncertainty = 1 - np.max(predictions, axis=1) query_idx = np.argsort(-uncertainty)[:n_instances] return query_idx