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Ray 2.7.2
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Ray
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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
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.rst
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ray.tune.Experiment.PUBLIC_KEYS
ray.tune.Experiment.PUBLIC_KEYS
#
Experiment.
PUBLIC_KEYS
=
{'num_samples',
'stop',
'time_budget_s'}
#