com.intel.analytics.bigdl.models.vgg.Utils

TrainParams

case class TrainParams(folder: String = "./", checkpoint: Option[String] = scala.None, modelSnapshot: Option[String] = scala.None, stateSnapshot: Option[String] = scala.None, summaryPath: Option[String] = scala.None, batchSize: Int = 112, maxEpoch: Int = 90, overWriteCheckpoint: Boolean = false, learningRate: Double = 0.01, weightDecay: Double = 5.0E-4, graphModel: Boolean = false, maxIteration: Int = 40000, momentum: Double = 0.9, dampening: Double = 0.0, nesterov: Boolean = true, classNumber: Int = 1000, env: String = "local", checkpointIteration: Int = 1000, maxLr: Double = 0.06, warmupEpoch: Option[Int] = scala.None, gradientL2NormThreshold: Option[Double] = scala.None, optimizerVersion: Option[String] = scala.None) extends Product with Serializable

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  1. TrainParams
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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, summaryPath: Option[String] = scala.None, batchSize: Int = 112, maxEpoch: Int = 90, overWriteCheckpoint: Boolean = false, learningRate: Double = 0.01, weightDecay: Double = 5.0E-4, graphModel: Boolean = false, maxIteration: Int = 40000, momentum: Double = 0.9, dampening: Double = 0.0, nesterov: Boolean = true, classNumber: Int = 1000, env: String = "local", checkpointIteration: Int = 1000, maxLr: Double = 0.06, warmupEpoch: Option[Int] = scala.None, gradientL2NormThreshold: Option[Double] = scala.None, optimizerVersion: Option[String] = scala.None)

Value Members

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

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

    Definition Classes
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  3. final def ##(): Int

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    AnyRef → Any
  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

    Definition Classes
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  7. val batchSize: Int

  8. val checkpoint: Option[String]

  9. val checkpointIteration: Int

  10. val classNumber: Int

  11. def clone(): AnyRef

    Attributes
    protected[java.lang]
    Definition Classes
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    Annotations
    @throws( ... )
  12. val dampening: Double

  13. val env: String

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

    Definition Classes
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  15. def finalize(): Unit

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    protected[java.lang]
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    @throws( classOf[java.lang.Throwable] )
  16. val folder: String

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

    Definition Classes
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  18. val gradientL2NormThreshold: Option[Double]

  19. val graphModel: Boolean

  20. final def isInstanceOf[T0]: Boolean

    Definition Classes
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  21. val learningRate: Double

  22. val maxEpoch: Int

  23. val maxIteration: Int

  24. val maxLr: Double

  25. val modelSnapshot: Option[String]

  26. val momentum: Double

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

    Definition Classes
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  28. val nesterov: Boolean

  29. final def notify(): Unit

    Definition Classes
    AnyRef
  30. final def notifyAll(): Unit

    Definition Classes
    AnyRef
  31. val optimizerVersion: Option[String]

  32. val overWriteCheckpoint: Boolean

  33. val stateSnapshot: Option[String]

  34. val summaryPath: Option[String]

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

    Definition Classes
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  36. final def wait(): Unit

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    @throws( ... )
  37. final def wait(arg0: Long, arg1: Int): Unit

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    @throws( ... )
  38. final def wait(arg0: Long): Unit

    Definition Classes
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    @throws( ... )
  39. val warmupEpoch: Option[Int]

  40. val weightDecay: Double

Inherited from Serializable

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Inherited from Product

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