Ray AIR Configurations

See also

See this Ray Train configuration user guide for more details.

air.RunConfig([name, local_dir, callbacks, ...])	Runtime configuration for training and tuning runs.
air.ScalingConfig([trainer_resources, ...])	Configuration for scaling training.
air.DatasetConfig([fit, split, required, ...])	Configuration for ingest of a single Dataset.
air.CheckpointConfig([num_to_keep, ...])	Configurable parameters for defining the checkpointing strategy.
air.FailureConfig([max_failures, fail_fast])	Configuration related to failure handling of each training/tuning run.

tune.TuneConfig([mode, metric, search_alg, ...])	Tune specific configs.
tune.syncer.SyncConfig([upload_dir, syncer, ...])	Configuration object for Tune syncing.