Toggle navigation sidebar
Toggle in-page Table of Contents
Ray 2.7.2
欢迎来到 Ray ！
Ray
概述「100%」
入门
安装「100%」
用例「100%」
示例库「1%」
生态「3%」
Ray 核心「100%」
Ray 数据「75%」
Ray 训练「0%」
Ray 调参「0%」
入门
关键概念
用户指南
Ray Tune 示例
Ray Tune 问答
Ray Tune API
Tune Execution (tune.Tuner)
ray.tune.Tuner
ray.tune.Tuner.fit
ray.tune.Tuner.get_results
ray.tune.TuneConfig
ray.tune.Tuner.restore
ray.tune.Tuner.can_restore
ray.tune.run_experiments
ray.tune.Experiment
Tune Experiment Results (tune.ResultGrid)
Training in Tune (tune.Trainable, session.report)
Tune Search Space API
Tune Search Algorithms (tune.search)
Tune Trial Schedulers (tune.schedulers)
Tune Stopping Mechanisms (tune.stopper)
Tune Console Output (Reporters)
Syncing in Tune (train.SyncConfig)
Tune Loggers (tune.logger)
Tune Callbacks (tune.Callback)
Environment variables used by Ray Tune
Tune Scikit-Learn API (tune.sklearn)
External library integrations for Ray Tune
Tune Internals
Tune Client API
Tune CLI (Experimental)
Ray Serve
Ray RLlib
更多类库「40%」
Ray 集群「100%」
监控调试「100%」
参考「20%」
开发者指引「30%」
安全「100%」
repository
open issue
suggest edit
.rst
.pdf
ray.tune.TuneConfig.scheduler
ray.tune.TuneConfig.scheduler
#
TuneConfig.
scheduler
:
Optional
[
ray.tune.schedulers.trial_scheduler.TrialScheduler
]
=
None
#