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Ray 2.8.0
Welcome to Ray!
Ray
Overview
Getting Started
Installation
Use Cases
Example Gallery
Ecosystem
Ray Core
Ray Data
Ray Train
Ray Tune
Getting Started
Key Concepts
User Guides
Ray Tune Examples
Ray Tune FAQ
Ray Tune API
Tune Execution (tune.Tuner)
Tune Experiment Results (tune.ResultGrid)
Training in Tune (tune.Trainable, train.report)
Tune Search Space API
Tune Search Algorithms (tune.search)
Tune Trial Schedulers (tune.schedulers)
Tune Stopping Mechanisms (tune.stopper)
ray.tune.stopper.Stopper
ray.tune.stopper.Stopper.__call__
ray.tune.stopper.Stopper.stop_all
ray.tune.stopper.MaximumIterationStopper
ray.tune.stopper.ExperimentPlateauStopper
ray.tune.stopper.TrialPlateauStopper
ray.tune.stopper.TimeoutStopper
ray.tune.stopper.CombinedStopper
Tune Console Output (Reporters)
Syncing in Tune (train.SyncConfig)
Tune Loggers (tune.logger)
Tune Callbacks (tune.Callback)
Environment variables used by Ray Tune
External library integrations for Ray Tune
Tune Internals
Tune Client API
Tune CLI (Experimental)
Ray Serve
Ray RLlib
More Libraries
Ray Clusters
Monitoring and Debugging
Developer Guides
Glossary
Security
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ray.tune.stopper.Stopper.__call__
ray.tune.stopper.Stopper.__call__
#
Stopper.
__call__
(
trial_id
:
str
,
result
:
Dict
[
str
,
Any
]
)
→
bool
[source]
#
Returns true if the trial should be terminated given the result.