autogen/flaml/scheduler/trial_scheduler.py
Chi Wang e46573a01d
warmstart blendsearch (#186)
* increase test coverage

* use define by run only when needed

* warmstart bs

* classification -> binary, multi

* warm start with evaluated rewards

* data transformer; resource attr for gs

* BlendSearchTuner bug fix and unittest

* bug fix

* docstr and import

* task type
2021-09-04 01:42:21 -07:00

39 lines
1.2 KiB
Python

'''
Copyright 2020 The Ray 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,
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.
This source file is adapted here because ray does not fully support Windows.
Copyright (c) Microsoft Corporation.
'''
from flaml.tune import trial_runner
from flaml.tune.trial import Trial
class TrialScheduler:
"""Interface for implementing a Trial Scheduler class."""
CONTINUE = "CONTINUE" #: Status for continuing trial execution
PAUSE = "PAUSE" #: Status for pausing trial execution
STOP = "STOP" #: Status for stopping trial execution
def on_trial_add(self, trial_runner: "trial_runner.TrialRunner",
trial: Trial):
pass
def on_trial_remove(self, trial_runner: "trial_runner.TrialRunner",
trial: Trial):
pass