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Fix link to serve (#9109)

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Amog Kamsetty
2020-06-23 16:06:24 -05:00
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parent 7904235517
commit 649a08926d
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doc/source/tune.rst
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@@ -15,7 +15,7 @@ Tune is a Python library for experiment execution and hyperparameter tuning at a
* Choose among state of the art algorithms such as :ref:`Population Based Training (PBT) <tune-scheduler-pbt>`, :ref:`BayesOptSearch <bayesopt>`, :ref:`HyperBand/ASHA <tune-scheduler-hyperband>`.
* Move your models from training to serving on the same infrastructure with `Ray Serve`_.
.. _`Ray Serve`: rayserve/overview.html
.. _`Ray Serve`: serve/index.html
**Want to get started?** Head over to the :ref:`60 second Tune tutorial <tune-60-seconds>`.