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This is part of the Dataset GA doc fix effort to update/improve the documentation. This PR revamps the Getting Started page. What are the changes: - Focus on basic/core features that are bread-and-butter for users, leave the advanced features out - Focus on high level introduction, leave the detailed spec out (e.g. what are possible batch_types for map_batches() API) - Use more realistic (yet still simple) data example that's familiar to people (IRIS dataset in this case) - Use the same data example throughout to make it context-switch free - Use runnable code rather than faked - Reference to the code from doc, instead of inlining them in the doc Co-authored-by: Ubuntu <ubuntu@ip-172-31-32-136.us-west-2.compute.internal> Co-authored-by: Eric Liang <ekhliang@gmail.com>
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29 lines
827 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 Datasets, we recommend starting with the :ref:`Ray Datasets Quick Start <datasets_getting_started>`.
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This user guide will help you navigate the Ray Datasets 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 Datasets,
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- how to run Dataset Pipelines in common scenarios,
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- and how to tune your Ray Datasets applications for performance.
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.. toctree::
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:maxdepth: 2
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creating-datasets
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saving-datasets
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transforming-datasets
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accessing-datasets
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pipelining-compute
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dataset-ml-preprocessing
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dataset-tensor-support
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advanced-pipelines
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random-access
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custom-data
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performance-tips
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