org.apache.spark.streamdm.classifiers.trees

FeatureClassObserver

trait FeatureClassObserver extends Serializable

Trait FeatureClassObserver for observing the class distribution of one feature. The observer monitors the class distribution of a given feature. Used in Naive Bayes and decision trees to monitor data statistics on leaves.

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Serializable, Serializable, AnyRef, Any
Known Subclasses
GaussianNumericFeatureClassObserver, NominalFeatureClassObserver, NullFeatureClassObserver, NumericFeatureClassObserver
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Abstract Value Members

  1. abstract def bestSplit(criterion: SplitCriterion, pre: Array[Double], fValue: Double, isBinarySplit: Boolean): FeatureSplit

    Gets the best split suggestion given a criterion and a class distribution

    Gets the best split suggestion given a criterion and a class distribution

    criterion

    the split criterion to use

    pre

    the class distribution before the split

    fValue

    the value of the feature

    isBinarySplit

    true to use binary splits

    returns

    suggestion of best feature split

  2. abstract def merge(that: FeatureClassObserver, trySplit: Boolean): FeatureClassObserver

    Merge the FeatureClassObserver to current FeatureClassObserver

    Merge the FeatureClassObserver to current FeatureClassObserver

    that

    the FeatureClassObserver will be merged

    trySplit

    whether called when a Hoeffding tree try to split

    returns

    current FeatureClassObserver

  3. abstract def observeClass(cIndex: Double, fValue: Double, weight: Double): Unit

    Updates statistics of this observer given a feature value, a class index and the weight of the example observed

    Updates statistics of this observer given a feature value, a class index and the weight of the example observed

    cIndex

    the index of class

    fValue

    the value of the feature

    weight

    the weight of the example

  4. abstract def probability(cIndex: Double, fValue: Double): Double

    Gets the probability for an attribute value given a class

    Gets the probability for an attribute value given a class

    cIndex

    the index of class

    fValue

    the value of the feature

    returns

    probability for a feature value given a class

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

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

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  3. final def ##(): Int

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

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  15. final def notify(): Unit

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  16. final def notifyAll(): Unit

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  17. def observeTarget(fValue: Double, weight: Double): Unit

    Not yet supported.

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

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  19. def toString(): String

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  20. final def wait(): Unit

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