# 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.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# 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.
"""Random sampling strategy."""
__all__ = ["RandomQuery"]
import numpy as np
from asreview.models.query.base import BaseQueryStrategy
from asreview.utils import get_random_state
[docs]
class RandomQuery(BaseQueryStrategy):
"""Random query strategy (``random``).
Randomly select samples with no regard to model assigned probabilities.
.. warning::
Selecting this option means your review is not going to be
accelerated by ASReview.
"""
name = "random"
label = "Random"
def __init__(self, random_state=None):
super().__init__()
self._random_state = get_random_state(random_state)
[docs]
def query(
self,
X,
classifier=None,
n_instances=None,
return_classifier_scores=False,
**kwargs,
):
if n_instances is None:
n_instances = X.shape[0]
query_idx = self._random_state.choice(
np.arange(X.shape[0]), n_instances, replace=False
)
if return_classifier_scores:
return query_idx, None
else:
return query_idx