com.stripe.brushfire

KFoldSampler

Related Doc: package brushfire

case class KFoldSampler(numTrees: Int) extends Sampler[Any] with Product with Serializable

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Serializable, Serializable, Product, Equals, Sampler[Any], AnyRef, Any
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  1. KFoldSampler
  2. Serializable
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Instance Constructors

  1. new KFoldSampler(numTrees: Int)

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. def clone(): AnyRef

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  6. final def eq(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  7. def finalize(): Unit

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

    Definition Classes
    AnyRef → Any
  9. def includeFeature(name: Any, treeIndex: Int, leafIndex: Int): Boolean

    returns whether to consider a feature when splitting a given leaf

    returns whether to consider a feature when splitting a given leaf

    Definition Classes
    KFoldSamplerSampler
  10. def includeInValidationSet(id: String, timestamp: Long, treeIndex: Int): Boolean

    returns whether to use an instance to validate a given tree

    returns whether to use an instance to validate a given tree

    Definition Classes
    KFoldSamplerSampler
  11. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any
  12. val murmur: MurmurHash128

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

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

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

    Definition Classes
    AnyRef
  16. val numTrees: Int

    returns number of trees to train

    returns number of trees to train

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

    Definition Classes
    AnyRef
  18. def timesInTrainingSet(id: String, timestamp: Long, treeIndex: Int): Int

    returns how many copies (0 to n) of an instance to train a given tree with

    returns how many copies (0 to n) of an instance to train a given tree with

    Definition Classes
    KFoldSamplerSampler
  19. final def wait(): Unit

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  21. final def wait(arg0: Long): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from Sampler[Any]

Inherited from AnyRef

Inherited from Any

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