# 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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"""
Divide multiple tasks based on data
Parameters
----------
samples： Train data, see `sedna.datasources.BaseDataSource` for more detail.
Returns
-------
tasks: All tasks based on training data.
task_extractor: Model or dict with a method to predict target tasks
"""
from typing import List, Any, Tuple
from sedna.datasources import BaseDataSource
from ..artifact import Task
[docs]class BaseTaskDefinition:
"""
Dividing datasets with all sorts of methods
"""
def __init__(self, **kwargs):
pass
[docs] def __call__(self,
samples: BaseDataSource) -> Tuple[List[Task],
Any,
BaseDataSource]:
raise NotImplementedError