Ray Tune API¶
Tip
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This section contains a reference for the Tune API. If there is anything missing, please open an issue on Github.
- Execution (Tuner, tune.Experiment)
- Training (tune.Trainable, session.report)
- Search Space API
- Search Algorithms (tune.search)
- Saving and Restoring
- Random search and grid search (tune.search.basic_variant.BasicVariantGenerator)
- Ax (tune.search.ax.AxSearch)
- Bayesian Optimization (tune.search.bayesopt.BayesOptSearch)
- BOHB (tune.search.bohb.TuneBOHB)
- BlendSearch (tune.search.flaml.BlendSearch)
- CFO (tune.search.flaml.CFO)
- Dragonfly (tune.search.dragonfly.DragonflySearch)
- HEBO (tune.search.hebo.HEBOSearch)
- HyperOpt (tune.search.hyperopt.HyperOptSearch)
- Nevergrad (tune.search.nevergrad.NevergradSearch)
- Optuna (tune.search.optuna.OptunaSearch)
- SigOpt (tune.search.sigopt.SigOptSearch)
- Scikit-Optimize (tune.search.skopt.SkOptSearch)
- ZOOpt (tune.search.zoopt.ZOOptSearch)
- Repeated Evaluations (tune.search.Repeater)
- ConcurrencyLimiter (tune.search.ConcurrencyLimiter)
- Custom Search Algorithms (tune.search.Searcher)
- Shim Instantiation (tune.create_searcher)
- Trial Schedulers (tune.schedulers)
- ASHA (tune.schedulers.ASHAScheduler)
- HyperBand (tune.schedulers.HyperBandScheduler)
- Median Stopping Rule (tune.schedulers.MedianStoppingRule)
- Population Based Training (tune.schedulers.PopulationBasedTraining)
- Population Based Training Replay (tune.schedulers.PopulationBasedTrainingReplay)
- Population Based Bandits (PB2) (tune.schedulers.pb2.PB2)
- BOHB (tune.schedulers.HyperBandForBOHB)
- ResourceChangingScheduler
- FIFOScheduler
- TrialScheduler
- Shim Instantiation (tune.create_scheduler)
- Stopping mechanisms (tune.stopper)
- ResultGrid (tune.ResultGrid)
- Console Output (Reporters)
- Syncing
- Loggers (tune.logger)
- Environment variables
- Scikit-Learn API (tune.sklearn)
- External library integrations (tune.integration)
- Tune Internals
- Tune Client API
- Tune CLI (Experimental)