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Ray 2.59 enables token authentication by default for local clusters, and Ray 2.61 extends it to all clusters. Read the rollout details

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Site Navigation

  • Get Started

  • Use Cases

  • Example Gallery

  • Library

    • Ray CoreScale general Python applications

    • Ray DataScale data ingest and preprocessing

    • Ray TrainScale machine learning training

    • Ray TuneScale hyperparameter tuning

    • Ray ServeScale model serving

    • Ray RLlibScale reinforcement learning

  • APIs

  • Resources

    • Discussion ForumGet your Ray questions answered

    • TrainingHands-on learning

    • BlogUpdates, best practices, user-stories

    • EventsWebinars, meetups, office hours

    • Success StoriesReal-world workload examples

    • EcosystemLibraries integrated with Ray

    • CommunityConnect with us

Try Managed Ray

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  • Ray APIs
  • Ray Train API
  • Ray Tune integration

Ray Tune integration#

These utilities connect a Ray Train run to Ray Tune.

tune.integration.ray_train.TuneReportCallback

Propagate metrics and checkpoint paths from Ray Train workers to Ray Tune.

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TrainingFailedError

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TuneReportCallback
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