org.apache.spark.mllib.tree.model

Split

case class Split(feature: Int, threshold: Double, featureType: FeatureType, categories: List[Double]) extends Product with Serializable

:: DeveloperApi :: Split applied to a feature

feature

feature index

threshold

Threshold for continuous feature. Split left if feature <= threshold, else right.

featureType

type of feature -- categorical or continuous

categories

Split left if categorical feature value is in this set, else right.

Annotations
@Since( "1.0.0" ) @DeveloperApi()
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Serializable, Serializable, Product, Equals, AnyRef, Any
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Instance Constructors

  1. new Split(feature: Int, threshold: Double, featureType: FeatureType, categories: List[Double])

    feature

    feature index

    threshold

    Threshold for continuous feature. Split left if feature <= threshold, else right.

    featureType

    type of feature -- categorical or continuous

    categories

    Split left if categorical feature value is in this set, else right.

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
    Any

  7. val categories: List[Double]

    Split left if categorical feature value is in this set, else right.

    Split left if categorical feature value is in this set, else right.

    Annotations
    @Since( "1.0.0" )

  8. def clone(): AnyRef

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

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

    Definition Classes
    AnyRef

  10. val feature: Int

    feature index

    feature index

    Annotations
    @Since( "1.0.0" )

  11. val featureType: FeatureType

    type of feature -- categorical or continuous

    type of feature -- categorical or continuous

    Annotations
    @Since( "1.0.0" )

  12. def finalize(): Unit

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

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

    Definition Classes
    AnyRef → Any

  14. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

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

    Definition Classes
    AnyRef

  16. final def notify(): Unit

    Definition Classes
    AnyRef

  17. final def notifyAll(): Unit

    Definition Classes
    AnyRef

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

    Definition Classes
    AnyRef

  19. val threshold: Double

    Threshold for continuous feature.

    Threshold for continuous feature. Split left if feature <= threshold, else right.

    Annotations
    @Since( "1.0.0" )

  20. def toString(): String

    Definition Classes
    Split → AnyRef → Any

  21. final def wait(): Unit

    Definition Classes
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    @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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Inherited from Serializable

Inherited from Serializable

Inherited from Product

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Inherited from AnyRef

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