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Continuing docs overhaul, tune now has: - [x] better landing page - [x] a getting started guide - [x] user guide was cut down, partially merged with FAQ, and partially integrated with tutorials - [x] the new user guide contains guides to tune features and practical integrations - [x] we rewrote some of the feature guides for clarity - [x] we got rid of sphinx-gallery for this sub-project (only data and core left), as it looks bad and is unnecessarily complicated anyway (plus, makes the build slower) - [x] sphinx-gallery examples are now moved to markdown notebook, as started in #22030. - [x] Examples are tested in the new framework, of course. There's still a lot one can do, but this is already getting too large. Will follow up with more fine-tuning next week. Co-authored-by: Antoni Baum <antoni.baum@protonmail.com> Co-authored-by: Kai Fricke <krfricke@users.noreply.github.com>
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24 lines
758 B
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.. _tune-comet-ref:
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Using Comet with Tune
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================================
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`Comet <https://www.comet.ml/site/>`_ is a tool to manage and optimize the
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entire ML lifecycle, from experiment tracking, model optimization and dataset
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versioning to model production monitoring.
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.. image:: /images/comet_logo_full.png
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:height: 80px
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:alt: Comet
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:align: center
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:target: https://www.comet.ml/site/
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Ray Tune offers an integration with Comet through the :ref:`CometLoggerCallback <tune-comet-logger>`, which automatically logs
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metrics and parameters reported to Tune to the Comet UI.
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Please :doc:`see here for a full example </tune/examples/comet_example>`.
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.. _tune-comet-logger:
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.. autoclass:: ray.tune.integration.comet.CometLoggerCallback
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:noindex:
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