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Note that explicit resource allocation is experimental, fix typos (#25038)

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Clark Zinzow 2022-05-20 11:36:08 -07:00 • committed by GitHub
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doc/source/data/key-concepts.rst
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@ -132,10 +132,14 @@ group by default. This can be thought of as Datasets requesting resources from t
margins of the cluster, outside of those ML library placement groups.
Although this is the default behavior, you can force all Datasets workloads to be
schedule without a placement group by specifying a placement group as the global
scheduled within a placement group by specifying a placement group as the global
scheduling strategy for all Datasets tasks/actors, using the global
:class:`DatasetContext <ray.data.DatasetContext>`:
:class:`DatasetContext <ray.data.DatasetContext>`.
.. note::
This is an experimental feature subject to change as we work to improve our
resource allocation model for Datasets.
.. literalinclude:: ./doc_code/key_concepts.py
:language: python