mirror of
https://github.com/vale981/ray
synced 2025-03-06 18:41:40 -05:00
144 lines
4.9 KiB
YAML
144 lines
4.9 KiB
YAML
format: jb-book
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root: index
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parts:
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- caption: Overview
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chapters:
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- file: ray-overview/index
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- file: ray-overview/installation
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- file: ray-overview/learn-more
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- file: ray-overview/ray-libraries
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- caption: Ray ML
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chapters:
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- file: data/dataset
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title: Ray Data
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sections:
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- file: data/getting-started
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- file: data/user-guide
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- file: data/key-concepts
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- file: data/examples/big_data_ingestion
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- file: train/train
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title: Ray Train
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sections:
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- file: train/user_guide
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- file: train/examples
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- file: train/architecture
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- file: train/migration-guide
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- file: raysgd/raysgd
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title: "RaySGD v1: Distributed Training Wrappers"
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- file: tune/index
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title: Ray Tune
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sections:
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- file: tune/getting-started
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- file: tune/key-concepts
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- file: tune/tutorials/overview
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sections:
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- file: tune/tutorials/tune-sklearn
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- file: tune/tutorials/tune-pytorch-cifar
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- file: tune/tutorials/tune-pytorch-lightning
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- file: tune/tutorials/tune-serve-integration-mnist
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- file: tune/tutorials/tune-xgboost
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- file: tune/tutorials/tune-wandb
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- file: tune/tutorials/tune-mlflow
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- file: tune/tutorials/tune-comet
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- file: tune/tutorials/tune-stopping
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- file: tune/tutorials/tune-metrics
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- file: tune/tutorials/tune-output
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- file: tune/tutorials/tune-resources
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- file: tune/tutorials/tune-checkpoints
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- file: tune/tutorials/tune-lifecycle
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- file: tune/tutorials/tune-advanced-tutorial
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- file: tune/tutorials/tune-distributed
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- file: tune/examples/index
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- file: tune/faq
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- file: tune/api_docs/overview.rst
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- file: serve/index
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title: Ray Serve
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sections:
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- file: serve/end_to_end_tutorial
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- file: serve/core-apis
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- file: serve/http-servehandle
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- file: serve/deployment
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- file: serve/ml-models
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- file: serve/pipeline
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- file: serve/performance
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- file: serve/architecture
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- file: serve/tutorials/index
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- file: serve/faq
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- file: rllib/index
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title: Ray RLlib
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sections:
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- file: rllib/core-concepts
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- file: rllib/rllib-training
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- file: rllib/rllib-env
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- file: rllib/rllib-algorithms
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- file: rllib/user-guides
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sections:
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- file: rllib/rllib-models
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- file: rllib/rllib-concepts
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- file: rllib/rllib-sample-collection
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- file: rllib/rllib-offline
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- file: rllib/rllib-dev
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- file: rllib/rllib-examples
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- file: workflows/concepts
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title: Ray Workflows
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sections:
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- file: workflows/basics
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- file: workflows/management
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- file: workflows/actors
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- file: workflows/metadata
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- file: workflows/events
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- file: workflows/comparison
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- file: workflows/advanced
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- file: ray-more-libs/index
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title: More Ray ML Libraries
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- caption: Ray Core
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chapters:
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- file: ray-core/walkthrough
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title: Getting Started
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- file: ray-core/using-ray
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title: "User Guide"
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- file: ray-core/examples/overview
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title: "Tutorials and Examples"
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sections:
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- file: ray-core/examples/placement-group
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- file: ray-core/examples/plot_example-a3c
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- file: ray-core/examples/plot_example-lm
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- file: ray-core/examples/plot_hyperparameter
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- file: ray-core/examples/plot_lbfgs
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- file: ray-core/examples/plot_newsreader
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- file: ray-core/examples/plot_parameter_server
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- file: ray-core/examples/plot_pong_example
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- file: ray-core/examples/plot_streaming
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- file: ray-core/examples/progress_bar
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- file: ray-core/examples/testing-tips
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- file: ray-core/examples/tips-for-first-time
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- file: ray-core/examples/using-ray-with-pytorch-lightning
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- file: ray-core/examples/dask_xgboost/dask_xgboost
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- file: ray-core/examples/modin_xgboost/modin_xgboost
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- caption: Ray Clusters
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chapters:
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- file: cluster/quickstart
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- file: cluster/user-guide
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- file: cluster/cloud
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- file: cluster/deploy
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- caption: References
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chapters:
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- file: ray-references/api
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- caption: Developer Guides
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chapters:
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- file: ray-contribute/getting-involved
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sections:
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- file: ray-contribute/development
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- file: ray-contribute/fake-autoscaler
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- file: ray-core/configure
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- file: ray-observability/index
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- file: ray-design-patterns/index
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- file: ray-contribute/whitepaper
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# TODO: Add examples section
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