Packages

case class TrainParams(folder: String = "./", checkpoint: Option[String] = None, modelSnapshot: Option[String] = None, stateSnapshot: Option[String] = None, classNumber: Int = 1000, batchSize: Int = -1, learningRate: Double = 0.01, env: String = "local", overWriteCheckpoint: Boolean = false, maxEpoch: Option[Int] = None, maxIteration: Int = 62000, weightDecay: Double = 0.0001, checkpointIteration: Int = 620, graphModel: Boolean = false, maxLr: Option[Double] = None, warmupEpoch: Option[Int] = None, gradientL2NormThreshold: Option[Double] = None, gradientMin: Option[Double] = None, gradientMax: Option[Double] = None, optimizerVersion: Option[String] = None) extends Product with Serializable

Linear Supertypes
Serializable, Serializable, Product, Equals, AnyRef, Any
Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. TrainParams
  2. Serializable
  3. Serializable
  4. Product
  5. Equals
  6. AnyRef
  7. Any
  1. Hide All
  2. Show All
Visibility
  1. Public
  2. All

Instance Constructors

  1. new TrainParams(folder: String = "./", checkpoint: Option[String] = None, modelSnapshot: Option[String] = None, stateSnapshot: Option[String] = None, classNumber: Int = 1000, batchSize: Int = -1, learningRate: Double = 0.01, env: String = "local", overWriteCheckpoint: Boolean = false, maxEpoch: Option[Int] = None, maxIteration: Int = 62000, weightDecay: Double = 0.0001, checkpointIteration: Int = 620, graphModel: Boolean = false, maxLr: Option[Double] = None, warmupEpoch: Option[Int] = None, gradientL2NormThreshold: Option[Double] = None, gradientMin: Option[Double] = None, gradientMax: Option[Double] = None, optimizerVersion: Option[String] = None)

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  5. val batchSize: Int
  6. val checkpoint: Option[String]
  7. val checkpointIteration: Int
  8. val classNumber: Int
  9. def clone(): AnyRef
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @native() @throws( ... )
  10. val env: String
  11. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  12. def finalize(): Unit
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  13. val folder: String
  14. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  15. val gradientL2NormThreshold: Option[Double]
  16. val gradientMax: Option[Double]
  17. val gradientMin: Option[Double]
  18. val graphModel: Boolean
  19. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  20. val learningRate: Double
  21. val maxEpoch: Option[Int]
  22. val maxIteration: Int
  23. val maxLr: Option[Double]
  24. val modelSnapshot: Option[String]
  25. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  26. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  27. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  28. val optimizerVersion: Option[String]
  29. val overWriteCheckpoint: Boolean
  30. val stateSnapshot: Option[String]
  31. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  32. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  33. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  34. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @throws( ... )
  35. val warmupEpoch: Option[Int]
  36. val weightDecay: Double

Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from AnyRef

Inherited from Any

Ungrouped