org.kramerlab.autoencoder.experiments

Metaparameters

case class Metaparameters(inputDim: Int, compressionDim: Int, numHidLayers: Int, linearCentralLayer: Boolean) extends Product with Serializable

Instances of this class contain a full description of all parameters that are required to train an autoencoder.

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Instance Constructors

  1. new Metaparameters(inputDim: Int, compressionDim: Int, numHidLayers: Int, linearCentralLayer: Boolean)

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

    Definition Classes
    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

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  7. def clone(): AnyRef

    Attributes
    protected[java.lang]
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    Annotations
    @throws( ... )
  8. val compressionDim: Int

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

    Definition Classes
    AnyRef
  10. def finalize(): Unit

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    protected[java.lang]
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    @throws( classOf[java.lang.Throwable] )
  11. final def getClass(): Class[_]

    Definition Classes
    AnyRef → Any
  12. val inputDim: Int

  13. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any
  14. def layerDims: Array[Int]

  15. def layerTypes: Array[Int]

  16. val linearCentralLayer: Boolean

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

    Definition Classes
    AnyRef
  18. final def notify(): Unit

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

    Definition Classes
    AnyRef
  20. val numHidLayers: Int

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

    Definition Classes
    AnyRef
  22. final def wait(): Unit

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

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

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