Tune API Reference¶
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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 (tune.run, tune.Experiment)
- Training (tune.Trainable, tune.report)
- Console Output (Reporters)
- Analysis (tune.analysis)
- Grid/Random Search
- Search Algorithms (tune.suggest)
- Summary
- Saving and Restoring
- Ax (tune.suggest.ax.AxSearch)
- Bayesian Optimization (tune.suggest.bayesopt.BayesOptSearch)
- BOHB (tune.suggest.bohb.TuneBOHB)
- Dragonfly (tune.suggest.dragonfly.DragonflySearch)
- HyperOpt (tune.suggest.hyperopt.HyperOptSearch)
- Nevergrad (tune.suggest.nevergrad.NevergradSearch)
- SigOpt (tune.suggest.sigopt.SigOptSearch)
- Scikit-Optimize (tune.suggest.skopt.SkOptSearch)
- ZOOpt (tune.suggest.zoopt.ZOOptSearch)
- Repeated Evaluations (tune.suggest.Repeater)
- ConcurrencyLimiter (tune.suggest.ConcurrencyLimiter)
- Custom Search Algorithms (tune.suggest.Searcher)
- Trial Schedulers (tune.schedulers)
- Scikit-Learn API (tune.sklearn)
- Loggers (tune.logger)
- Tune Internals
- Tune Client API
- Tune CLI (Experimental)