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This PR adds a dedicated docs page for examples, and adds a basic e2e tabular data processing example on the NYC taxi dataset. The goal of this example is to demonstrate basic data reading, inspection, transformations, and shuffling, along with ingestion into dummy model trainers and doing dummy batch inference, for tabular (Parquet) data.
52 lines
1.3 KiB
ReStructuredText
52 lines
1.3 KiB
ReStructuredText
.. _datasets-examples-ref:
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========
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Examples
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========
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.. tip:: Check out the Datasets :ref:`User Guide <data_user_guide>` to learn more about
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Datasets' features in-depth.
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.. _datasets-recipes:
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Simple Data Processing Examples
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-------------------------------
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Ray Datasets is a data processing engine that supports multiple data
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modalities and types. Here you will find a few end-to-end examples of some basic data
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processing with Ray Datasets on tabular data, text (coming soon!), and imagery (coming
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soon!).
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.. panels::
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:container: container pb-4
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:column: col-md-4 px-2 py-2
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:img-top-cls: pt-5 w-75 d-block mx-auto
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---
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:img-top: /images/taxi.png
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+++
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.. link-button:: nyc_taxi_basic_processing
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:type: ref
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:text: Processing NYC taxi data using Ray Datasets
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:classes: btn-link btn-block stretched-link
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Scaling Out Datasets Workloads
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------------------------------
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These examples demonstrate using Ray Datasets on large-scale data over a multi-node Ray
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cluster.
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.. panels::
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:container: container pb-4
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:column: col-md-4 px-2 py-2
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:img-top-cls: pt-5 w-75 d-block mx-auto
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---
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:img-top: /images/dataset-repeat-2.svg
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+++
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.. link-button:: big_data_ingestion
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:type: ref
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:text: Large-scale ML Ingest
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:classes: btn-link btn-block stretched-link
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