kr.ac.kaist.ir.deep.train

DistBeliefCriteria

case class DistBeliefCriteria(miniBatch: Int = 100, validationSize: Int = 20, updateStep: Int = 2, fetchStep: Int = 10, numCores: Int = 1) extends TrainingCriteria with Product with Serializable

Criteria: How to train (for kr.ac.kaist.ir.deep.train.style.DistBeliefTrainStyle)

This case class defines how to train the network. Training parameter is defined in this class.

miniBatch

size of mini-batch (default 100)

validationSize

size of validation set to be generated (default 20)

updateStep

number of numCores × mini-batches between update (default 2)

fetchStep

number of numCores × mini-batches between fetching (default 10)

numCores

number of v-cores in the spark cluster. (default 1)

Note

We recommend set numCores as similar as possible with allocated spark v-cores.

Linear Supertypes
Product, Equals, TrainingCriteria, Serializable, Serializable, AnyRef, Any
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  1. DistBeliefCriteria
  2. Product
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Instance Constructors

  1. new DistBeliefCriteria(miniBatch: Int = 100, validationSize: Int = 20, updateStep: Int = 2, fetchStep: Int = 10, numCores: Int = 1)

    miniBatch

    size of mini-batch (default 100)

    validationSize

    size of validation set to be generated (default 20)

    updateStep

    number of numCores × mini-batches between update (default 2)

    fetchStep

    number of numCores × mini-batches between fetching (default 10)

    numCores

    number of v-cores in the spark cluster. (default 1)

Value Members

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

    Definition Classes
    AnyRef

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

    Definition Classes
    Any

  3. final def ##(): Int

    Definition Classes
    AnyRef → Any

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

    Definition Classes
    AnyRef

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

    Definition Classes
    Any

  6. final def asInstanceOf[T0]: T0

    Definition Classes
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  7. def clone(): AnyRef

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef

  9. val fetchStep: Int

    number of numCores × mini-batches between fetching (default 10)

  10. def finalize(): Unit

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

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

    Definition Classes
    AnyRef → Any

  12. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

  13. val miniBatch: Int

    size of mini-batch (default 100)

    size of mini-batch (default 100)

    Definition Classes
    DistBeliefCriteria → TrainingCriteria

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

    Definition Classes
    AnyRef

  15. final def notify(): Unit

    Definition Classes
    AnyRef

  16. final def notifyAll(): Unit

    Definition Classes
    AnyRef

  17. val numCores: Int

    number of v-cores in the spark cluster.

    number of v-cores in the spark cluster. (default 1)

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

    Definition Classes
    AnyRef

  19. val updateStep: Int

    number of numCores × mini-batches between update (default 2)

  20. val validationSize: Int

    size of validation set to be generated (default 20)

    size of validation set to be generated (default 20)

    Definition Classes
    DistBeliefCriteria → TrainingCriteria

  21. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
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    @throws( ... )

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

    Definition Classes
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Inherited from Product

Inherited from Equals

Inherited from TrainingCriteria

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

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