Class/Object

ml.combust.mleap.core.feature

MultinomialLabelerModel

Related Docs: object MultinomialLabelerModel | package feature

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

Linear Supertypes
Serializable, Serializable, Product, Equals, Model, AnyRef, Any
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Inherited
  1. MultinomialLabelerModel
  2. Serializable
  3. Serializable
  4. Product
  5. Equals
  6. Model
  7. AnyRef
  8. Any
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Instance Constructors

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

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Value Members

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

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    AnyRef → Any

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

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  5. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  6. def clone(): AnyRef

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

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

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    Definition Classes
    AnyRef

  8. def finalize(): Unit

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

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

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    Definition Classes
    AnyRef → Any

  10. val indexer: ReverseStringIndexerModel

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  11. def inputSchema: StructType

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    Definition Classes
    MultinomialLabelerModel → Model

  12. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

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

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    Definition Classes
    AnyRef

  14. final def notify(): Unit

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    Definition Classes
    AnyRef

  15. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  16. def outputSchema: StructType

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    Definition Classes
    MultinomialLabelerModel → Model

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

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    Definition Classes
    AnyRef

  18. val threshold: Double

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

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

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  21. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Annotations
    @throws( ... )

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

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    Definition Classes
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    @throws( ... )

Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from Model

Inherited from AnyRef

Inherited from Any

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