Class

org.platanios.tensorflow.api.config

TensorBoardConfig

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case class TensorBoardConfig(logDir: Path, host: String = "localhost", port: Int = 6006, reloadInterval: Int = 5) extends Product with Serializable

TensorBoard configuration, which can be used when training using Estimators.

logDir

Directory containing the logs and summaries that the TensorBoard instance should use.

host

Host to use for the TensorBoard service.

port

Port to use for the TensorBoard service.

reloadInterval

Interval at which the backend reloads more data in seconds.

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Instance Constructors

  1. new TensorBoardConfig(logDir: Path, host: String = "localhost", port: Int = 6006, reloadInterval: Int = 5)

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    logDir

    Directory containing the logs and summaries that the TensorBoard instance should use.

    host

    Host to use for the TensorBoard service.

    port

    Port to use for the TensorBoard service.

    reloadInterval

    Interval at which the backend reloads more data in seconds.

Value Members

  1. final def !=(arg0: Any): Boolean

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  2. final def ##(): Int

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  8. final def getClass(): Class[_]

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  9. val host: String

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    Host to use for the TensorBoard service.

  10. final def isInstanceOf[T0]: Boolean

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  11. val logDir: Path

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    Directory containing the logs and summaries that the TensorBoard instance should use.

  12. final def ne(arg0: AnyRef): Boolean

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  13. final def notify(): Unit

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  14. final def notifyAll(): Unit

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  15. val port: Int

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    Port to use for the TensorBoard service.

  16. val reloadInterval: Int

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    Interval at which the backend reloads more data in seconds.

  17. final def synchronized[T0](arg0: ⇒ T0): T0

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  18. final def wait(): Unit

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  19. final def wait(arg0: Long, arg1: Int): Unit

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  20. final def wait(arg0: Long): Unit

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