# Copyright 2019-2022 The ASReview Authors. All Rights Reserved.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
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# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
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"""Max sampling while saving prediction probabilities."""
import numpy as np
from asreview.models.query.base import 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]