# Copyright 2023 The KubeEdge Authors.
#
# 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,
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"""
Mining tasks of inference sample based on task attribute extractor
Parameters
----------
samples ： infer sample, see `sedna.datasources.BaseDataSource` for more detail.
Returns
-------
allocations : tasks that assigned to each sample
"""
from sedna.datasources import BaseDataSource
[docs]class BaseTaskAllocation:
"""
Base class of task allocation algorithm
Parameters
----------
task_extractor : Model or dict
task extractor is used to predict target tasks
"""
def __init__(self, task_extractor, **kwargs):
self.task_extractor = task_extractor
[docs] def __call__(self, samples: BaseDataSource):
raise NotImplementedError