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# Licensed under the Apache License, Version 2.0 (the "License");
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# http://www.apache.org/licenses/LICENSE-2.0
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"""Max sampling while saving prediction probabilities."""
__all__ = ["MaxQuery"]
import numpy as np
from asreview.models.query.base import ProbaQueryStrategy
[docs]
class MaxQuery(ProbaQueryStrategy):
"""Maximum query strategy (``max``).
Choose the most likely samples to be included according to the model.
"""
name = "max"
label = "Maximum"
def _query(self, predictions, n_instances, X=None):
query_indices = np.argsort(predictions[:, 0])[:n_instances]
return query_indices