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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 RLlib API
  • Algorithm Configuration API
  • AlgorithmConfig
  • evaluation_num_workers

evaluation_num_workers#

property AlgorithmConfig.evaluation_num_workers#

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delay_between_worker_restarts_s

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ignore_worker_failures

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  • AlgorithmConfig.evaluation_num_workers
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