ray/doc/source/_toc.yml

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format: jb-book
root: index
parts:
- caption: Overview
chapters:
- file: ray-overview/index
- file: ray-overview/installation
- file: ray-overview/ray-libraries
- caption: Ray AI Runtime
chapters:
- file: ray-air/getting-started
title: "What is Ray AI Runtime (AIR)?"
- file: ray-air/key-concepts
- file: ray-air/user-guides
sections:
- file: ray-air/preprocessors
- file: ray-air/trainer
- file: ray-air/check-ingest
- file: ray-air/tuner
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- file: ray-air/predictors
- file: ray-air/examples/serving_guide
- file: ray-air/deployment
- file: ray-air/examples/index
sections:
- file: ray-air/examples/torch_image_example
- file: ray-air/examples/convert_existing_pytorch_code_to_ray_air
- file: ray-air/examples/tfx_tabular_train_to_serve
- file: ray-air/examples/huggingface_text_classification
- file: ray-air/examples/sklearn_example
- file: ray-air/examples/xgboost_example
- file: ray-air/examples/analyze_tuning_results
- file: ray-air/examples/lightgbm_example
- file: ray-air/examples/torch_incremental_learning
- file: ray-air/examples/rl_serving_example
- file: ray-air/examples/rl_online_example
- file: ray-air/examples/rl_offline_example
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- file: ray-air/examples/upload_to_comet_ml
- file: ray-air/examples/upload_to_wandb
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- file: ray-air/examples/feast_example
- file: ray-air/package-ref
- file: ray-air/benchmarks
- caption: Ray Libraries
chapters:
- file: data/dataset
title: Ray Data
sections:
- file: data/getting-started
- file: data/key-concepts
- file: data/user-guide
- file: data/examples/index
sections:
- file: data/examples/nyc_taxi_basic_processing
title: Processing the NYC taxi dataset
- file: data/examples/big_data_ingestion
title: Large-scale ML Ingest
- file: data/examples/ocr_example
title: Scaling OCR with Ray Datasets
- file: data/advanced-pipelines
- file: data/random-access
- file: data/faq
- file: data/api/api
- file: data/integrations
- file: train/train
title: Ray Train
sections:
- file: train/getting-started
- file: train/key-concepts
- file: train/user-guides
sections:
- file: train/config_guide
- file: train/dl_guide
- file: train/gbdt
- file: train/architecture
- file: train/faq
- file: train/examples
- 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
sections:
- file: tune/examples/tune-sklearn
title: "Scikit-Learn Example"
- file: tune/examples/tune_mnist_keras
title: "Keras Example"
- file: tune/examples/tune-pytorch-cifar
title: "PyTorch Example"
- file: tune/examples/tune-pytorch-lightning
title: "PyTorch Lightning Example"
- file: tune/examples/mxnet_example
title: "MXNet Example"
- file: tune/examples/tune-serve-integration-mnist
title: "Ray Serve Example"
- file: tune/examples/pbt_ppo_example
title: "Ray RLlib Example"
- file: tune/examples/tune-xgboost
title: "XGBoost Example"
- file: tune/examples/lightgbm_example
title: "LightGBM Example"
- file: tune/examples/horovod_simple
title: "Horovod Example"
- file: tune/examples/pbt_transformers
title: "Huggingface Example"
- file: tune/examples/tune-comet
title: "Comet Example"
- file: tune/examples/tune-wandb
title: "Weights & Biases Example"
- file: tune/examples/ax_example
title: "Ax Example"
- file: tune/examples/dragonfly_example
title: "Dragonfly Example"
- file: tune/examples/skopt_example
title: "Skopt Example"
- file: tune/examples/hyperopt_example
title: "HyperOpt Example"
- file: tune/examples/bayesopt_example
title: "Bayesopt Example"
- file: tune/examples/flaml_example
title: "FLAML Example"
- file: tune/examples/bohb_example
title: "BOHB Example"
- file: tune/examples/nevergrad_example
title: "Nevergrad Example"
- file: tune/examples/optuna_example
title: "Optuna Example"
- file: tune/examples/zoopt_example
title: "ZOOpt Example"
- file: tune/examples/sigopt_example
title: "SigOpt Example"
- file: tune/examples/hebo_example
title: "HEBO Example"
- file: tune/faq
- file: tune/api_docs/overview.rst
- file: serve/index
title: Ray Serve
sections:
- file: serve/getting_started
- file: serve/key-concepts
- file: serve/user-guide
sections:
- file: serve/managing-deployments
- file: serve/handling-dependencies
- file: serve/scaling-and-resource-allocation
- file: serve/http-guide
- file: serve/handle-guide
- file: serve/ray-air-serve-guide
- file: serve/ml-models
- file: serve/batching-guide
- file: serve/model_composition
- file: serve/deploying-serve
- file: serve/monitoring
- file: serve/performance
- file: serve/dev-workflow
- file: serve/production
- file: serve/migration
- file: serve/architecture
- file: serve/tutorials/index
sections:
- file: serve/tutorials/deployment-graph-patterns
sections:
- file: serve/tutorials/deployment-graph-patterns/linear_pipeline
- file: serve/tutorials/deployment-graph-patterns/branching_input
- file: serve/tutorials/deployment-graph-patterns/conditional
- 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-replay-buffers
- file: rllib/rllib-offline
- file: rllib/rllib-dev
- file: rllib/rllib-examples
- file: rllib/package_ref/index
- file: ray-more-libs/index
title: More Libraries
sections:
- file: ray-more-libs/joblib
- file: ray-more-libs/multiprocessing
- file: ray-more-libs/ray-collective
- file: ray-core/examples/using-ray-with-pytorch-lightning
- file: workflows/concepts
title: Ray Workflows
sections:
- file: workflows/basics
- file: workflows/management
- file: workflows/metadata
- file: workflows/events
- file: workflows/comparison
- file: workflows/advanced
- file: workflows/package-ref
- 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_parameter_server
- file: ray-core/examples/plot_pong_example
- file: ray-core/examples/highly_parallel
- file: ray-core/package-ref
- caption: Ray Clusters
chapters:
- file: cluster/getting-started
title: Getting Started
- file: cluster/key-concepts
title: Key Concepts
- file: cluster/kubernetes/index
title: Deploying on Kubernetes
sections:
- file: cluster/kubernetes/getting-started
- file: cluster/kubernetes/user-guides
sections:
- file: cluster/kubernetes/user-guides/k8s-cluster-setup.md
- file: cluster/kubernetes/user-guides/config.md
- file: cluster/kubernetes/user-guides/configuring-autoscaling.md
- file: cluster/kubernetes/user-guides/logging.md
- file: cluster/kubernetes/user-guides/gpu.md
- file: cluster/kubernetes/examples
sections:
- file: cluster/kubernetes/examples/ml-example.md
- file: cluster/kubernetes/references
- file: cluster/vms/index
title: Deploying on VMs
sections:
- file: cluster/vms/getting-started
- file: cluster/vms/user-guides/index
title: User Guides
sections:
- file: cluster/vms/user-guides/launching-clusters/index
title: Launching Clusters
- file: cluster/vms/user-guides/large-cluster-best-practices
- file: cluster/vms/user-guides/configuring-autoscaling
- file: cluster/vms/user-guides/community/index
title: Community-supported Cluster Managers
sections:
- file: cluster/vms/user-guides/community/yarn
- file: cluster/vms/user-guides/community/slurm
- file: cluster/vms/user-guides/community/lsf
- file: cluster/vms/examples/index
title: Examples
sections:
- file: cluster/vms/examples/ml-example
- file: cluster/vms/references/index
- file: cluster/running-applications/index
title: Applications Guide
- caption: References
chapters:
- file: ray-references/api
- file: cluster/usage-stats
- caption: Developer Guides
chapters:
- file: ray-contribute/stability
- 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