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- format: jb-book
- root: index
- parts:
- - caption: Ray
- chapters:
- - file: ray-overview/index
- title: "Overview"
- - file: ray-overview/getting-started
- title: "Getting Started"
- - file: ray-overview/installation
- title: "Installation"
- - file: ray-overview/use-cases
- title: "Use Cases"
- - file: ray-overview/examples
- title: "Example Gallery"
- - file: ray-overview/ray-libraries
- title: "Ecosystem"
- - file: ray-core/walkthrough
- title: "Ray Core"
- sections:
- - 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/gentle_walkthrough
- - file: ray-core/examples/monte_carlo_pi
- - 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/examples/batch_prediction
- - file: ray-core/examples/batch_training
- - file: ray-core/examples/automl_for_time_series
- - file: ray-core/examples/web-crawler
- - file: ray-core/examples/map_reduce
- - file: ray-core/api/index
- - file: ray-air/getting-started
- title: "Ray AI Runtime (AIR)"
- sections:
- - file: ray-air/key-concepts
- - file: ray-air/user-guides
- sections:
- - file: ray-air/preprocessors
- - file: ray-air/trainers
- - file: ray-air/check-ingest
- - file: ray-air/tuner
- - file: ray-air/predictors
- - file: ray-air/computer-vision
- - file: ray-air/examples/serving_guide
- - file: ray-air/deployment
- - file: ray-air/experimental-features
- - file: ray-air/examples/index
- sections:
- - file: ray-air/examples/opt_deepspeed_batch_inference
- - file: ray-air/examples/torch_image_example
- - file: ray-air/examples/torch_detection
- - file: ray-air/examples/convert_existing_pytorch_code_to_ray_air
- - file: ray-air/examples/convert_existing_tf_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
- - file: ray-air/examples/upload_to_comet_ml
- - file: ray-air/examples/upload_to_wandb
- - file: ray-air/examples/feast_example
- - file: ray-air/examples/automl_with_ray_air
- - file: ray-air/examples/batch_tuning
- - file: ray-air/examples/batch_forecasting
- - file: ray-air/examples/stablediffusion_batch_prediction
- - file: ray-air/examples/gptj_deepspeed_fine_tuning
- - file: ray-air/examples/gptj_batch_prediction
- - file: ray-air/examples/gptj_serving
- - file: ray-air/examples/dreambooth_finetuning
- - file: ray-air/examples/dolly_lightning_fsdp_finetuning
- - file: ray-air/api/api
- - file: ray-air/benchmarks
- - file: data/data
- title: Ray Data
- sections:
- - file: data/overview
- title: Overview
- - file: data/getting-started
- - file: data/key-concepts
- - file: data/user-guide
- - file: data/examples/index
- - file: data/faq
- - file: data/api/api
- - file: train/train
- title: Ray Train
- sections:
- - file: train/getting-started
- title: "Getting Started"
- - file: train/key-concepts
- title: "Key Concepts"
- - file: train/user-guides
- title: "User Guides"
- sections:
- - file: train/config_guide
- title: "Configuring Ray Train"
- - file: train/dl_guide
- title: "Deep Learning Guide"
- - file: train/gbdt
- title: "XGBoost/LightGBM guide"
- - file: train/architecture
- title: "Ray Train Architecture"
- - file: train/examples
- title: "Examples"
- sections:
- - file: train/examples/pytorch/torch_fashion_mnist_example
- title: "PyTorch Fashion MNIST Example"
- - file: train/examples/lightning/lightning_mnist_example
- title: "PyTorch Lightning Basic Example"
- - file: train/examples/lightning/lightning_cola_advanced
- title: "PyTorch Lightning Advanced Example"
- - file: train/examples/lightning/lightning_exp_tracking
- title: "PyTorch Lightning with Experiment Tracking Tools"
- - file: train/examples/transformers/transformers_example
- title: "HF Transformers Example"
- - file: train/examples/tf/tensorflow_mnist_example
- title: "TensorFlow MNIST Example"
- - file: train/examples/horovod/horovod_example
- title: "Horovod Example"
- - file: train/examples/mlflow_fashion_mnist_example
- title: "MLflow Callback Example"
- - file: train/examples/tf/tune_tensorflow_mnist_example
- title: "Tune & TensorFlow Example"
- - file: train/examples/pytorch/tune_cifar_torch_pbt_example
- title: "Tune & PyTorch Example"
- - file: train/examples/pytorch/torch_data_prefetch_benchmark/benchmark_example
- title: "Torch Data Prefetching Benchmark"
- - file: train/examples/pytorch/pytorch_resnet_finetune
- title: "PyTorch Finetuning ResNet Example"
- - file: train/faq
- - file: train/api/api
- - file: tune/index
- title: Ray Tune
- sections:
- - file: tune/getting-started
- title: "Getting Started"
- - file: tune/key-concepts
- title: "Key Concepts"
- - file: tune/tutorials/overview
- sections:
- - file: tune/tutorials/tune-run
- title: "Running Basic Experiments"
- - file: tune/tutorials/tune-output
- - file: tune/tutorials/tune-resources
- title: "Setting Trial Resources"
- - file: tune/tutorials/tune-search-spaces
- title: "Using Search Spaces"
- - file: tune/tutorials/tune-stopping
- - file: tune/tutorials/tune-trial-checkpoints
- - file: tune/tutorials/tune-storage
- - file: tune/tutorials/tune-fault-tolerance
- - file: tune/tutorials/tune-metrics
- title: "Using Callbacks and Metrics"
- - file: tune/tutorials/tune_get_data_in_and_out
- - file: tune/examples/tune_analyze_results
- - file: tune/examples/pbt_guide
- sections:
- - file: tune/examples/pbt_visualization/pbt_visualization
- title: "Visualizing and Understanding PBT"
- - file: tune/tutorials/tune-distributed
- title: "Deploying Tune in the Cloud"
- - file: tune/tutorials/tune-lifecycle
- title: "Tune Architecture"
- - file: tune/tutorials/tune-scalability
- title: "Scalability Benchmarks"
- - file: tune/examples/index
- sections:
- - file: tune/examples/ml-frameworks
- 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: "Hugging Face Transformers Example"
- - file: tune/examples/experiment-tracking
- sections:
- - file: tune/examples/tune-wandb
- title: "Weights & Biases Example"
- - file: tune/examples/tune-mlflow
- title: "MLflow Example"
- - file: tune/examples/tune-aim
- title: "Aim Example"
- - file: tune/examples/tune-comet
- title: "Comet Example"
- - file: tune/examples/hpo-frameworks
- sections:
- - 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/examples/other-examples
- title: "Other Examples"
- - file: tune/examples/exercises
- title: "Exercises"
- - file: tune/faq
- - file: tune/api/api.rst
- - file: serve/index
- title: Ray Serve
- sections:
- - file: serve/getting_started
- - file: serve/key-concepts
- - file: serve/model_composition
- - file: serve/deploy-many-models/index
- sections:
- - file: serve/deploy-many-models/multi-app
- - file: serve/deploy-many-models/model-multiplexing
- - file: serve/http-guide
- - file: serve/production-guide/index
- title: Production Guide
- sections:
- - file: serve/production-guide/config
- - file: serve/production-guide/kubernetes
- - file: serve/production-guide/fault-tolerance
- - file: serve/production-guide/handling-dependencies
- - file: serve/production-guide/best-practices
- - file: serve/monitoring
- - file: serve/scaling-and-resource-allocation
- - file: serve/advanced-guides/index
- sections:
- - file: serve/advanced-guides/app-builder-guide
- - file: serve/advanced-guides/performance
- - file: serve/advanced-guides/dyn-req-batch
- - file: serve/advanced-guides/inplace-updates
- - file: serve/advanced-guides/dev-workflow
- - file: serve/advanced-guides/deployment-graphs
- - file: serve/advanced-guides/direct-ingress
- - file: serve/advanced-guides/managing-java-deployments
- - file: serve/advanced-guides/migration
- - file: serve/advanced-guides/deploy-vm
- - 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/api/index
- - file: rllib/index
- title: Ray RLlib
- sections:
- - file: rllib/rllib-training
- - file: rllib/key-concepts
- - file: rllib/rllib-env
- - file: rllib/rllib-algorithms
- - file: rllib/user-guides
- sections:
- - file: rllib/rllib-advanced-api
- - file: rllib/rllib-models
- - file: rllib/rllib-saving-and-loading-algos-and-policies
- - file: rllib/rllib-concepts
- - file: rllib/rllib-sample-collection
- - file: rllib/rllib-replay-buffers
- - file: rllib/rllib-offline
- - file: rllib/rllib-catalogs
- - file: rllib/rllib-connector
- - file: rllib/rllib-rlmodule
- - file: rllib/rllib-fault-tolerance
- - file: rllib/rllib-dev
- - file: rllib/rllib-cli
- - 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-more-libs/using-ray-with-pytorch-lightning
- - file: ray-more-libs/dask-on-ray
- - file: ray-more-libs/raydp
- - file: ray-more-libs/mars-on-ray
- - file: ray-more-libs/modin/index
- - file: workflows/index
- title: Ray Workflows (Alpha)
- sections:
- - file: workflows/key-concepts
- - file: workflows/basics
- - file: workflows/management
- - file: workflows/metadata
- - file: workflows/events
- - file: workflows/comparison
- - file: workflows/advanced
- - file: workflows/api/api
- - file: cluster/getting-started
- title: "Ray Clusters"
- sections:
- - 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/user-guides/experimental.md
- - file: cluster/kubernetes/user-guides/static-ray-cluster-without-kuberay.md
- - file: cluster/kubernetes/examples
- sections:
- - file: cluster/kubernetes/examples/ml-example.md
- - file: cluster/kubernetes/examples/gpu-training-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
- - file: cluster/vms/user-guides/large-cluster-best-practices
- - file: cluster/vms/user-guides/configuring-autoscaling
- - file: cluster/vms/user-guides/logging
- - 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/metrics
- - file: cluster/configure-manage-dashboard
- - file: cluster/running-applications/index
- title: Applications Guide
- - file: cluster/faq
- - file: cluster/package-overview
- - file: ray-observability/index
- title: "Monitoring and Debugging"
- sections:
- - file: ray-observability/getting-started
- - file: ray-observability/key-concepts
- - file: ray-observability/user-guides/index
- title: User Guides
- sections:
- - file: ray-observability/user-guides/debug-apps/index
- title: Debugging Applications
- sections:
- - file: ray-observability/user-guides/debug-apps/general-debugging
- - file: ray-observability/user-guides/debug-apps/debug-memory
- - file: ray-observability/user-guides/debug-apps/debug-hangs
- - file: ray-observability/user-guides/debug-apps/debug-failures
- - file: ray-observability/user-guides/debug-apps/optimize-performance
- - file: ray-observability/user-guides/debug-apps/ray-debugging
- - file: ray-observability/user-guides/cli-sdk
- - file: ray-observability/user-guides/configure-logging
- - file: ray-observability/user-guides/add-app-metrics
- - file: ray-observability/user-guides/ray-tracing
- - file: ray-observability/reference/index
- title: Reference
- sections:
- - file: ray-observability/reference/api
- - file: ray-observability/reference/cli
- - file: ray-observability/reference/system-metrics
- - file: ray-references/api
- title: References
- sections:
- - file: cluster/usage-stats
- - file: ray-references/glossary
- - file: ray-contribute/stability
- title: Developer Guides
- sections:
- - file: ray-contribute/getting-involved
- sections:
- - file: ray-contribute/development
- - file: ray-contribute/docs
- - file: ray-contribute/writing-code-snippets
- - file: ray-contribute/fake-autoscaler
- - file: ray-core/examples/testing-tips
- - file: ray-contribute/debugging.rst
- - file: ray-contribute/profiling.rst
- - file: ray-core/configure
- - file: ray-contribute/whitepaper
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