format: jb-book root: index parts: - caption: Overview chapters: - file: ray-overview/index - file: ray-overview/installation - file: ray-overview/ray-libraries - caption: Ray ML chapters: - file: data/dataset title: Ray Data sections: - file: data/getting-started - file: data/key-concepts - file: data/user-guide - file: data/examples/big_data_ingestion - file: data/package-ref - file: data/integrations - file: train/train title: Ray Train sections: - file: train/user_guide - file: train/examples - file: train/faq - file: train/architecture - file: train/api - file: tune/index title: Ray Tune sections: - file: tune/getting-started - file: tune/key-concepts - file: tune/tutorials/overview sections: - file: tune/tutorials/tune-lifecycle title: "How Tune Works" - file: tune/tutorials/tune-stopping title: "How to Stop and Resume" - file: tune/tutorials/tune-metrics title: "Using Callbacks and Metrics" - file: tune/tutorials/tune-distributed title: "Distributed Tuning" - file: tune/tutorials/tune-output title: "Logging Tune Runs" - file: tune/tutorials/tune-resources title: "Managing Resources" - file: tune/tutorials/tune-checkpoints title: "Working with Checkpoints" - file: tune/tutorials/tune-search-spaces title: "Using Search Spaces" - file: tune/tutorials/tune-advanced-tutorial title: "Understanding PBT" - file: tune/tutorials/tune-scalability title: "Scalability Benchmarks" - file: tune/examples/index - file: tune/faq - file: tune/api_docs/overview.rst - file: serve/index title: Ray Serve sections: - file: serve/getting_started - file: serve/core-apis - file: serve/http-servehandle - file: serve/ml-models - file: serve/deployment-graph sections: - file: serve/deployment-graph/deployment-graph-e2e-tutorial - file: serve/deployment-graph/deployment-graph-user-guides sections: - file: serve/deployment-graph/chain_nodes_same_class_different_args - file: serve/deployment - file: serve/monitoring - file: serve/performance - file: serve/architecture - file: serve/tutorials/index - file: serve/faq - file: serve/package-ref - file: rllib/index title: Ray RLlib sections: - file: rllib/core-concepts - file: rllib/rllib-training - file: rllib/rllib-env - file: rllib/rllib-algorithms - file: rllib/user-guides sections: - file: rllib/rllib-models - file: rllib/rllib-concepts - file: rllib/rllib-sample-collection - file: rllib/rllib-offline - file: rllib/rllib-dev - file: rllib/rllib-examples - file: rllib/package_ref/index - file: workflows/concepts title: Ray Workflows sections: - file: workflows/basics - file: workflows/management - file: workflows/actors - file: workflows/metadata - file: workflows/events - file: workflows/comparison - file: workflows/advanced - file: workflows/package-ref - file: ray-more-libs/index title: More Ray ML Libraries - caption: Ray Core chapters: - file: ray-core/walkthrough title: Getting Started - file: ray-core/key-concepts title: "Key Concepts" - file: ray-core/user-guide title: "User Guides" - file: ray-core/examples/overview title: "Examples" sections: - file: ray-core/examples/plot_example-a3c - file: ray-core/examples/plot_example-lm - file: ray-core/examples/plot_hyperparameter - file: ray-core/examples/plot_lbfgs - file: ray-core/examples/plot_parameter_server - file: ray-core/examples/plot_pong_example - file: ray-core/package-ref - caption: Ray Clusters chapters: - file: cluster/quickstart - file: cluster/user-guide - file: cluster/cloud - file: cluster/deploy - file: cluster/api - file: cluster/usage-stats - caption: References chapters: - file: ray-references/api - caption: Developer Guides chapters: - file: ray-contribute/getting-involved sections: - file: ray-contribute/development - file: ray-contribute/docs - file: ray-contribute/fake-autoscaler - file: ray-core/examples/testing-tips - file: ray-core/configure - file: ray-observability/index - file: ray-contribute/whitepaper # TODO: Add examples section