# Copyright 2019-2020 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.
# You may obtain a copy of the License at
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Max sampling while saving prediction probabilities."""
import numpy as np
from asreview.models.query.base import ProbaQueryStrategy
"""Maximum sampling query strategy.
Choose the most likely samples to be included according to the model.
name = "max"
def _query(self, X, pool_idx, n_instances=1, proba=None):
proba = proba[pool_idx]
query_idx = np.argsort(proba[:, 0])[:n_instances]
return pool_idx[query_idx], X[pool_idx[query_idx]]