Package weka.classifiers.trees.ht

Class ConditionalSufficientStats

  • All Implemented Interfaces:
    java.io.Serializable
    Direct Known Subclasses:
    GaussianConditionalSufficientStats, NominalConditionalSufficientStats
    public abstract class ConditionalSufficientStats
extends java.lang.Object
implements java.io.Serializable
    Records sufficient stats for an attribute
    Version:
    $Revision: 9705 $
    Author:
    Richard Kirkby (rkirkby@cs.waikato.ac.nz), Mark Hall (mhall{[at]}pentaho{[dot]}com)
    See Also:
    Serialized Form

    • Method Summary

      All Methods Instance Methods Abstract Methods 
      Modifier and Type Method Description
      abstract SplitCandidate bestSplit​(SplitMetric splitMetric, java.util.Map<java.lang.String,​WeightMass> preSplitDist, java.lang.String attName)
      Return the best split
      abstract double probabilityOfAttValConditionedOnClass​(double attVal, java.lang.String classVal)
      Return the probability of an attribute value conditioned on a class value
      abstract void update​(double attVal, java.lang.String classVal, double weight)
      Update this stat with the supplied attribute value and class value

      • Methods inherited from class java.lang.Object

        equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

    • Constructor Detail

      • ConditionalSufficientStats

        public ConditionalSufficientStats()

    • Method Detail

      • update

        public abstract void update​(double attVal,
                            java.lang.String classVal,
                            double weight)
        Update this stat with the supplied attribute value and class value
        Parameters:
        attVal - the value of the attribute
        classVal - the class value
        weight - the weight of this observation

      • probabilityOfAttValConditionedOnClass

        public abstract double probabilityOfAttValConditionedOnClass​(double attVal,
                                                             java.lang.String classVal)
        Return the probability of an attribute value conditioned on a class value
        Parameters:
        attVal - the attribute value to compute the conditional probability for
        classVal - the class value
        Returns:
        the probability

      • bestSplit

        public abstract SplitCandidate bestSplit​(SplitMetric splitMetric,
                                         java.util.Map<java.lang.String,​WeightMass> preSplitDist,
                                         java.lang.String attName)
        Return the best split
        Parameters:
        splitMetric - the split metric to use
        preSplitDist - the distribution of class values prior to splitting
        attName - the name of the attribute being considered for splitting
        Returns:
        the best split for the attribute