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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)
ray.tune.search.basic_variant.BasicVariantGenerator
ray.tune.search.ax.AxSearch
ray.tune.search.bayesopt.BayesOptSearch
ray.tune.search.bohb.TuneBOHB
ray.tune.search.flaml.BlendSearch
ray.tune.search.flaml.CFO
ray.tune.search.dragonfly.DragonflySearch
ray.tune.search.hebo.HEBOSearch
ray.tune.search.hyperopt.HyperOptSearch
ray.tune.search.nevergrad.NevergradSearch
ray.tune.search.optuna.OptunaSearch
ray.tune.search.sigopt.SigOptSearch
ray.tune.search.skopt.SkOptSearch
ray.tune.search.zoopt.ZOOptSearch
ray.tune.search.Repeater
ray.tune.search.ConcurrencyLimiter
ray.tune.search.Searcher
ray.tune.search.Searcher.suggest
ray.tune.search.Searcher.save
ray.tune.search.Searcher.restore
ray.tune.search.Searcher.on_trial_result
ray.tune.search.Searcher.on_trial_complete
ray.tune.search.create_searcher
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
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.search.dragonfly.DragonflySearch.mode
ray.tune.search.dragonfly.DragonflySearch.mode
#
property
DragonflySearch.
mode
:
str
#
Specifies if minimizing or maximizing the metric.