ray/doc/source/_toc.yml
Max Pumperla 5cc9355303
[Docs ] Tune docs overhaul (first part) (#22112)
Continuing docs overhaul, tune now has:

- [x] better landing page
- [x] a getting started guide
- [x] user guide was cut down, partially merged with FAQ, and partially integrated with tutorials
- [x] the new user guide contains guides to tune features and practical integrations
- [x] we rewrote some of the feature guides for clarity 
- [x] we got rid of sphinx-gallery for this sub-project (only data and core left), as it looks bad and is unnecessarily complicated anyway (plus, makes the build slower)
- [x] sphinx-gallery examples are now moved to markdown notebook, as started in #22030.
- [x] Examples are tested in the new framework, of course.

There's still a lot one can do, but this is already getting too large. Will follow up with more fine-tuning next week.

Co-authored-by: Antoni Baum <antoni.baum@protonmail.com>
Co-authored-by: Kai Fricke <krfricke@users.noreply.github.com>
2022-02-07 15:47:03 +00:00

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format: jb-book
root: index
parts:
- caption: Overview
chapters:
- file: ray-overview/index
- file: ray-overview/installation
- file: ray-overview/learn-more
- file: ray-overview/ray-libraries
- caption: Ray ML
chapters:
- file: data/dataset
title: Ray Data
sections:
- file: data/getting-started
- file: data/user-guide
- file: data/key-concepts
- file: data/examples/big_data_ingestion
- file: train/train
title: Ray Train
sections:
- file: train/user_guide
- file: train/examples
- file: train/architecture
- file: train/migration-guide
- file: raysgd/raysgd
title: "RaySGD v1: Distributed Training Wrappers"
- file: tune/index
title: Ray Tune
sections:
- file: tune/getting-started
- file: tune/key-concepts
- file: tune/tutorials/overview
sections:
- file: tune/tutorials/tune-sklearn
- file: tune/tutorials/tune-pytorch-cifar
- file: tune/tutorials/tune-pytorch-lightning
- file: tune/tutorials/tune-serve-integration-mnist
- file: tune/tutorials/tune-xgboost
- file: tune/tutorials/tune-wandb
- file: tune/tutorials/tune-mlflow
- file: tune/tutorials/tune-comet
- file: tune/tutorials/tune-stopping
- file: tune/tutorials/tune-metrics
- file: tune/tutorials/tune-output
- file: tune/tutorials/tune-resources
- file: tune/tutorials/tune-checkpoints
- file: tune/tutorials/tune-lifecycle
- file: tune/tutorials/tune-advanced-tutorial
- file: tune/tutorials/tune-distributed
- file: tune/examples/index
- file: tune/faq
- file: tune/api_docs/overview.rst
- file: serve/index
title: Ray Serve
sections:
- file: serve/end_to_end_tutorial
- file: serve/core-apis
- file: serve/http-servehandle
- file: serve/deployment
- file: serve/ml-models
- file: serve/pipeline
- file: serve/performance
- file: serve/architecture
- file: serve/tutorials/index
- file: serve/faq
- file: rllib/index
title: Ray RLlib
sections:
- file: rllib/rllib-toc
- file: rllib/core-concepts
- file: rllib/rllib-training
- file: rllib/rllib-env
- file: rllib/rllib-models
- file: rllib/rllib-algorithms
- file: rllib/rllib-sample-collection
- file: rllib/rllib-offline
- file: rllib/rllib-concepts
- file: rllib/rllib-examples
- file: rllib/rllib-dev
- 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: ray-more-libs/index
title: More Ray ML Libraries
- caption: Ray Core
chapters:
- file: ray-core/walkthrough
title: Getting Started
- file: ray-core/using-ray
title: "User Guide"
- file: ray-core/examples/overview
title: "Tutorials and Examples"
- caption: Ray Clusters
chapters:
- file: cluster/quickstart
- file: cluster/user-guide
- file: cluster/cloud
- file: cluster/deploy
- caption: References
chapters:
- file: ray-references/api
- caption: Developer Guides
chapters:
- file: ray-contribute/getting-involved
sections:
- file: ray-contribute/development
- file: ray-contribute/fake-autoscaler
- file: ray-core/configure
- file: ray-observability/index
- file: ray-design-patterns/index
- file: ray-contribute/whitepaper
# TODO: Add examples section