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Ray 3.0.0.dev0
Welcome to Ray!
Ray
Overview
Getting Started
Installation
Use Cases
Ecosystem
Ray Core
Ray AI Runtime (AIR)
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)
ray.tune.ResultGrid
ray.tune.ResultGrid.get_best_result
ray.tune.ResultGrid.get_dataframe
ray.air.Result
ray.tune.ExperimentAnalysis
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 (tune.SyncConfig, tune.Syncer)
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
More Libraries
Ray Clusters
Monitoring and Debugging
References
Developer Guides
repository
open issue
suggest edit
.rst
.pdf
ray.tune.ResultGrid.num_terminated
ray.tune.ResultGrid.num_terminated
#
property
ResultGrid.
num_terminated
#
Returns the number of terminated (but not errored) trials.