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API References

Ray API References

• Ray AIR API
  • Components
• Ray Datasets API
  • Input/Output
  • Dataset API
  • DatasetPipeline API
  • GroupedDataset API
  • DatasetContext API
  • Data Representations
  • (Experimental) RandomAccessDataset API
  • Utility
• Ray Train API
  • Backend Configurations
  • Deprecated APIs
• Ray Tune API
  • Execution (Tuner, tune.Experiment)
  • Training (tune.Trainable, session.report)
  • Search Space API
  • Search Algorithms (tune.search)
  • Trial Schedulers (tune.schedulers)
  • 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)
• Ray Serve API
  • Core APIs
  • Deployment API
  • ServeHandle API
  • Batching Requests
  • Serve CLI and REST API
  • Deployment Graph APIs
• Ray RLlib API
  • Environments
  • Algorithm API
  • Policies
  • Model APIs
  • Evaluation and Environment Rollout
  • Offline RL
  • Parallel Requests Utilities
  • Training Operations Utilities
  • ReplayBuffer API
  • MultiAgentReplayBuffer classes
  • Utility Methods
  • RLlib Utilities
• Ray Workflows API
  • Workflow Execution API
  • Management API
• Ray Core API
  • Python API
  • Placement Group APIs
  • Custom Metrics APIs
  • Runtime Context APIs
  • Runtime Env APIs
  • Debugging APIs
  • The Ray Command Line API
• Ray State API
  • State CLI
  • Log CLI
  • State Python SDK
  • State APIs Schema
  • State APIs Exceptions

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Programmatic Cluster Scaling

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Ray State API