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_toc.yml
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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/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/pytorch_resnet_batch_prediction
- 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/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/batch_training
title: Batch Training with Ray Data
- file: data/examples/ocr_example
title: Scaling OCR with Ray Data
- file: data/examples/random-access
- file: data/faq
- file: data/api/api
- file: data/glossary
- file: data/integrations
- 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/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/user-guide
sections:
- file: serve/http-guide
- file: serve/scaling-and-resource-allocation
- file: serve/model_composition
- file: serve/dev-workflow
- file: serve/app-builder-guide
- file: serve/multi-app
- file: serve/production-guide/index
sections:
- file: serve/production-guide/config
- file: serve/production-guide/deploy-vm
- file: serve/production-guide/kubernetes
- file: serve/production-guide/monitoring
- file: serve/production-guide/fault-tolerance
- file: serve/performance
- file: serve/handling-dependencies
- file: serve/managing-java-deployments
- file: serve/migration
- file: serve/direct-ingress
- 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: 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/configure-manage-dashboard
- file: cluster/running-applications/index
title: Applications Guide
- file: cluster/faq
- file: cluster/package-overview
- file: ray-observability/monitoring-debugging/monitoring-debugging
title: "Monitoring and Debugging"
sections:
- file: ray-observability/getting-started-dashboard
- file: ray-observability/getting-started-program
- file: ray-observability/key-concepts
- file: ray-observability/user-guides/index
title: User Guides
sections:
- file: ray-observability/user-guides/troubleshoot-apps/index
title: Troubleshooting Applications
sections:
- file: ray-observability/user-guides/troubleshoot-apps/troubleshoot-failures
- file: ray-observability/user-guides/troubleshoot-apps/troubleshoot-hangs
- file: ray-observability/user-guides/troubleshoot-apps/optimize-performance
- file: ray-observability/user-guides/troubleshoot-apps/ray-debugging
- file: ray-observability/user-guides/troubleshoot-apps/ray-core-profiling
- 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/system-metrics
- file: ray-observability/reference/api
- file: ray-observability/reference/cli
- 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