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Ray 3.0.0.dev0
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)
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 (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
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.rst
.pdf
ray.tune.TuneConfig.chdir_to_trial_dir
ray.tune.TuneConfig.chdir_to_trial_dir
#
TuneConfig.
chdir_to_trial_dir
:
bool
=
True
#