LearningNodeNB

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. def addOnWeight(): Double

   Definition Classes

   ActiveLearningNode

7. var addonWeight: Double

   Definition Classes

   ActiveLearningNode

8. final def asInstanceOf[T0]: T0

   Definition Classes

   Any

9. var blockAddonWeight: Double

   Definition Classes

   ActiveLearningNode

10. val blockClassDistribution: Array[Double]

    Definition Classes

    Node

11. def blockWeight(): Double

    Definition Classes

    ActiveLearningNode

12. def classVotes(ht: HoeffdingTreeModel, example: Example): Array[Double]

    Returns the predicted class distribution

    Returns the predicted class distribution

    ht

    a Hoeffding tree model

    example

    the Example to be evaluated

    returns

    the predicted class distribution

    Definition Classes

    LearningNodeNB → Node

13. def clone(): AnyRef

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

14. var dep: Int

    Definition Classes

    Node

15. def depth(): Int

    Returns depth of current node in the tree

    Returns depth of current node in the tree

    returns

    the depth

    Definition Classes

    Node

16. def description(): String

    Returns the node description

    Returns the node description

    returns

    String containing the description

    Definition Classes

    Node

17. def disableFeature(fIndex: Int): Unit

    Disable a feature having an index

    Disable a feature having an index

    fIndex

    the index of the feature

    Definition Classes

    LearningNodeNB → ActiveLearningNode

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

    Definition Classes

    AnyRef

19. def equals(arg0: Any): Boolean

    Definition Classes

    AnyRef → Any

20. var featureObservers: Array[FeatureClassObserver]

    Definition Classes

    ActiveLearningNode

21. def filterToLeaf(example: Example, parent: SplitNode, index: Int): FoundNode

    Filter the data to the related leaf node

    Filter the data to the related leaf node

    example

    the input example

    parent

    the parent of current node

    index

    the index of current node in the parent children

    returns

    FoundNode containing the leaf node

    Definition Classes

    LearningNode → Node

22. def finalize(): Unit

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

    @throws( classOf[java.lang.Throwable] )

23. def getBestSplitSuggestions(splitCriterion: SplitCriterion, ht: HoeffdingTreeModel): Array[FeatureSplit]

    Returns Split suggestions for all features.

    Returns Split suggestions for all features.

    splitCriterion

    the SplitCriterion used

    ht

    a Hoeffding tree model

    returns

    an array of FeatureSplit

    Definition Classes

    ActiveLearningNode

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

    Definition Classes

    AnyRef → Any

25. def hashCode(): Int

    Definition Classes

    AnyRef → Any

26. def height(): Int

    Returns height of the tree

    Returns height of the tree

    returns

    the height

    Definition Classes

    Node

27. def init(): Unit

    init featureObservers array

    init featureObservers array

    Definition Classes

    ActiveLearningNode

28. def isActive(): Boolean

    Returns whether a node is active.

    Returns whether a node is active.

    Definition Classes

    ActiveLearningNode → LearningNode

29. final def isInstanceOf[T0]: Boolean

    Definition Classes

    Any

30. def isLeaf(): Boolean

    Checks whether a node is a leaf

    Checks whether a node is a leaf

    returns

    true if a node is a leaf, false otherwise

    Definition Classes

    Node

31. def isPure(): Boolean

    Returns whether a node is pure, which means it only has examples belonging to a single class.

    Returns whether a node is pure, which means it only has examples belonging to a single class.

    Definition Classes

    ActiveLearningNode

32. def learn(ht: HoeffdingTreeModel, example: Example): Unit

    Learn and update the node

    Learn and update the node

    ht

    a Hoeffding tree model

    example

    the input example

    Definition Classes

    ActiveLearningNode → LearningNode

33. def merge(that: Node, trySplit: Boolean): Node

    Merge two nodes

    Merge two nodes

    trySplit

    flag indicating whether the node will be split

    returns

    new node

    Definition Classes

    ActiveLearningNode → Node

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

    Definition Classes

    AnyRef

35. final def notify(): Unit

    Definition Classes

    AnyRef

36. final def notifyAll(): Unit

    Definition Classes

    AnyRef

37. def numChildren(): Int

    Returns number of children

    Returns number of children

    returns

    number of children

    Definition Classes

    Node

38. def setDepth(depth: Int): Unit

    Set the depth of current node

    Set the depth of current node

    depth

    the new depth

    Definition Classes

    Node

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

    Definition Classes

    AnyRef

40. def toString(): String

    Definition Classes

    ActiveLearningNode → AnyRef → Any

41. final def wait(): Unit

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

44. def weight(): Double

    Definition Classes

    ActiveLearningNode