ml.combust.mleap.core.feature

MultinomialLabelerModel

case class MultinomialLabelerModel(threshold: Double, indexer: ReverseStringIndexerModel) extends Product with Serializable

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  1. MultinomialLabelerModel
  2. Serializable
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Instance Constructors

  1. new MultinomialLabelerModel(threshold: Double, indexer: ReverseStringIndexerModel)

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

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  6. def apply(tensor: Tensor[Double]): Seq[(Double, Int, String)]

  7. final def asInstanceOf[T0]: T0

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  8. def clone(): AnyRef

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    protected[java.lang]
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    @throws( ... )
  9. final def eq(arg0: AnyRef): Boolean

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  10. def finalize(): Unit

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

    Definition Classes
    AnyRef → Any
  12. val indexer: ReverseStringIndexerModel

  13. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any
  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. final def synchronized[T0](arg0: ⇒ T0): T0

    Definition Classes
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  18. val threshold: Double

  19. def top(tensor: Tensor[Double]): Seq[(Double, Int)]

  20. def topLabels(tensor: Tensor[Double]): Seq[String]

  21. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  22. final def wait(arg0: Long, arg1: Int): Unit

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

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    @throws( ... )

Inherited from Serializable

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Inherited from Product

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