com.intel.analytics.bigdl.models.autoencoder.Utils

TrainParams

case class TrainParams(folder: String = "./", checkpoint: Option[String] = scala.None, modelSnapshot: Option[String] = scala.None, stateSnapshot: Option[String] = scala.None, batchSize: Int = 150, maxEpoch: Int = 10, graphModel: Boolean = false, optimizerVersion: Option[String] = scala.None) extends Product with Serializable

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Instance Constructors

  1. new TrainParams(folder: String = "./", checkpoint: Option[String] = scala.None, modelSnapshot: Option[String] = scala.None, stateSnapshot: Option[String] = scala.None, batchSize: Int = 150, maxEpoch: Int = 10, graphModel: Boolean = false, optimizerVersion: Option[String] = scala.None)

Value Members

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

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

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  3. final def ##(): Int

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  4. final def ==(arg0: AnyRef): Boolean

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  5. final def ==(arg0: Any): Boolean

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  6. final def asInstanceOf[T0]: T0

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  7. val batchSize: Int

  8. val checkpoint: Option[String]

  9. def clone(): AnyRef

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  10. final def eq(arg0: AnyRef): Boolean

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  11. def finalize(): Unit

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  12. val folder: String

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

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  14. val graphModel: Boolean

  15. final def isInstanceOf[T0]: Boolean

    Definition Classes
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  16. val maxEpoch: Int

  17. val modelSnapshot: Option[String]

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

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  19. final def notify(): Unit

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  20. final def notifyAll(): Unit

    Definition Classes
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  21. val optimizerVersion: Option[String]

  22. val stateSnapshot: Option[String]

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

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  24. final def wait(): Unit

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    @throws( ... )

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

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

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