API References

Ray API References

• Ray AIR API
  • Components
• Ray Datasets API
  • Input/Output
  • Dataset API
  • DatasetIterator API
  • DatasetPipeline API
  • GroupedDataset API
  • DatasetContext API
  • Data Representations
  • (Experimental) RandomAccessDataset API
  • Utility
  • API Guide for Users from Other Data Libraries
• Ray Train API
  • Trainer and Predictor Integrations
  • Base Classes (Developer APIs)
• Ray Tune API
  • Tune Execution (Tuner, tune.Experiment)
  • Training in Tune (tune.Trainable, session.report)
  • Tune Search Space API
  • Tune Search Algorithms (tune.search)
  • Tune Trial Schedulers (tune.schedulers)
  • Tune Stopping mechanisms (tune.stopper)
  • ResultGrid (tune.ResultGrid)
  • Result (air.Result)
  • ExperimentAnalysis (tune.ExperimentAnalysis)
  • Tune Console Output (Reporters)
  • Syncing in Tune (tune.SyncConfig, tune.Syncer)
  • Tune Loggers (tune.logger)
  • Environment variables used by Ray Tune
  • Tune Scikit-Learn API (tune.sklearn)
  • External library integrations for Ray Tune (tune.integration)
  • Tune Internals
  • Tune Client API
  • Tune CLI (Experimental)
• Ray Serve API
  • Core APIs
  • Deployment API
  • ServeHandle API
  • Batching Requests
  • Serve CLI and REST API
  • Deployment Graph APIs
• Ray RLlib API
  • Algorithms
  • Environments
  • Policies
  • Model APIs
  • Evaluation and Environment Rollout
  • Offline RL
  • Parallel Requests Utilities
  • Training Operations Utilities
  • ReplayBuffer API
  • MultiAgentReplayBuffer classes
  • Utility Methods
  • RLlib Utilities
  • External Application API
• Ray Workflows API
  • Workflow Execution API
  • Management API
• Ray Cluster Management API
  • Cluster Management CLI
  • Python SDK API Reference
  • Ray Jobs CLI API Reference
  • Programmatic Cluster Scaling
• Ray Core API
  • Python API
  • Placement Group APIs
  • Custom Metrics APIs
  • Runtime Context APIs
  • Runtime Env APIs
  • Debugging APIs
  • Exceptions