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Preview: [docs](https://ray--21931.org.readthedocs.build/en/21931/data/dataset.html) The Ray Data project's docs now have a clearer structure and have partly been rewritten/modified. In particular we have - [x] A Getting Started Guide - [x] An explicit User / How-To Guide - [x] A dedicated Key Concepts page - [x] A consistent naming convention in `Ray Data` whenever is is referred to the project. This surfaces quite clearly that, apart from the "Getting Started" sections, we really only have one real example. Once we have more, we can create an "Example" section like many other sub-projects have. This will be addressed in https://github.com/ray-project/ray/issues/21838.
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28 lines
782 B
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.. _data_user_guide :
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===========
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User Guides
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===========
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If you’re new to Ray Data, we recommend starting with the :ref:`Ray Data Quick Start <ray_data_quick_start>`.
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This user guide will help you navigate the Ray Data project and show you how achieve several tasks, for instance
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you will learn
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- how to load data and preprocess it for machine learning applications,
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- how to use Tensors with Ray Data,
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- how to run Dataset Pipelines in common scenarios,
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- how to run Dask, Spark, Mars or Modin on Ray Data,
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- and how to tune your Ray Data applications for performance.
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.. toctree::
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:maxdepth: 2
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dataset-ml-preprocessing
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dataset-tensor-support
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advanced-pipelines
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dask-on-ray
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raydp
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mars-on-ray
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modin/index
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custom-data
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performance-tips
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