org.apache.spark.mllib.tree.model

Node

class Node extends Serializable with Logging

:: DeveloperApi :: Node in a decision tree.

About node indexing: Nodes are indexed from 1. Node 1 is the root; nodes 2, 3 are the left, right children. Node index 0 is not used.

Annotations
@DeveloperApi()
Linear Supertypes
Logging, Serializable, Serializable, AnyRef, Any
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  1. Node
  2. Logging
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Instance Constructors

  1. new Node(id: Int, predict: Predict, impurity: Double, isLeaf: Boolean, split: Option[Split], leftNode: Option[Node], rightNode: Option[Node], stats: Option[InformationGainStats])

    id

    integer node id, from 1

    predict

    predicted value at the node

    impurity

    current node impurity

    isLeaf

    whether the node is a leaf

    split

    split to calculate left and right nodes

    leftNode

    left child

    rightNode

    right child

    stats

    information gain stats

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 equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any
  8. def finalize(): Unit

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

    Definition Classes
    AnyRef → Any
  10. def hashCode(): Int

    Definition Classes
    AnyRef → Any
  11. val id: Int

    integer node id, from 1

  12. var impurity: Double

    current node impurity

  13. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any
  14. var isLeaf: Boolean

    whether the node is a leaf

  15. def isTraceEnabled(): Boolean

    Attributes
    protected
    Definition Classes
    Logging
  16. var leftNode: Option[Node]

    left child

  17. def log: Logger

    Attributes
    protected
    Definition Classes
    Logging
  18. def logDebug(msg: ⇒ String, throwable: Throwable): Unit

    Attributes
    protected
    Definition Classes
    Logging
  19. def logDebug(msg: ⇒ String): Unit

    Attributes
    protected
    Definition Classes
    Logging
  20. def logError(msg: ⇒ String, throwable: Throwable): Unit

    Attributes
    protected
    Definition Classes
    Logging
  21. def logError(msg: ⇒ String): Unit

    Attributes
    protected
    Definition Classes
    Logging
  22. def logInfo(msg: ⇒ String, throwable: Throwable): Unit

    Attributes
    protected
    Definition Classes
    Logging
  23. def logInfo(msg: ⇒ String): Unit

    Attributes
    protected
    Definition Classes
    Logging
  24. def logName: String

    Attributes
    protected
    Definition Classes
    Logging
  25. def logTrace(msg: ⇒ String, throwable: Throwable): Unit

    Attributes
    protected
    Definition Classes
    Logging
  26. def logTrace(msg: ⇒ String): Unit

    Attributes
    protected
    Definition Classes
    Logging
  27. def logWarning(msg: ⇒ String, throwable: Throwable): Unit

    Attributes
    protected
    Definition Classes
    Logging
  28. def logWarning(msg: ⇒ String): Unit

    Attributes
    protected
    Definition Classes
    Logging
  29. final def ne(arg0: AnyRef): Boolean

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

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

    Definition Classes
    AnyRef
  32. def predict(features: Vector): Double

    predict value if node is not leaf

    predict value if node is not leaf

    features

    feature value

    returns

    predicted value

  33. var predict: Predict

    predicted value at the node

  34. var rightNode: Option[Node]

    right child

  35. var split: Option[Split]

    split to calculate left and right nodes

  36. var stats: Option[InformationGainStats]

    information gain stats

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

    Definition Classes
    AnyRef
  38. def toString(): String

    Definition Classes
    Node → AnyRef → Any
  39. final def wait(): Unit

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

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Deprecated Value Members

  1. def build(nodes: Array[Node]): Unit

    build the left node and right nodes if not leaf

    build the left node and right nodes if not leaf

    nodes

    array of nodes

    Annotations
    @deprecated
    Deprecated

    (Since version 1.2.0) build should no longer be used since trees are constructed on-the-fly in training

Inherited from Logging

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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