Tune Execution (tune.Tuner)

Tuner

Tuner([trainable, param_space, tune_config, ...])

Tuner is the recommended way of launching hyperparameter tuning jobs with Ray Tune.

Tuner.fit()	Executes hyperparameter tuning job as configured and returns result.
Tuner.get_results()	Get results of a hyperparameter tuning run.

Tuner Configuration

TuneConfig([mode, metric, search_alg, ...])

Tune specific configs.

See also

The Tuner constructor also takes in a air.RunConfig.

Restoring a Tuner

Tuner.restore(path, trainable[, ...])	Restores Tuner after a previously failed run.
Tuner.can_restore(path[, storage_filesystem])	Checks whether a given directory contains a restorable Tune experiment.

tune.run_experiments

run_experiments(experiments[, scheduler, ...])	Runs and blocks until all trials finish.
Experiment(name, run, *[, stop, ...])	Tracks experiment specifications.