Constructor Detail

• C45Split

  public C45Split​(int attIndex,
                  int minNoObj,
                  double sumOfWeights)

  Initializes the split model.

Method Detail

• buildClassifier

  public void buildClassifier​(Instances trainInstances)
                       throws java.lang.Exception

  Creates a C4.5-type split on the given data. Assumes that none of the class values is missing.

  Specified by:

  buildClassifier in class ClassifierSplitModel

  Throws:

  java.lang.Exception - if something goes wrong

• attIndex

  public final int attIndex()

  Returns index of attribute for which split was generated.

• classProb

  public final double classProb​(int classIndex,
                                Instance instance,
                                int theSubset)
                         throws java.lang.Exception

  Gets class probability for instance.

  Overrides:

  classProb in class ClassifierSplitModel

  Throws:

  java.lang.Exception - if something goes wrong

• codingCost

  public final double codingCost()

  Returns coding cost for split (used in rule learner).

  Overrides:

  codingCost in class ClassifierSplitModel

• gainRatio

  public final double gainRatio()

  Returns (C4.5-type) gain ratio for the generated split.

• infoGain

  public final double infoGain()

  Returns (C4.5-type) information gain for the generated split.

• leftSide

  public final java.lang.String leftSide​(Instances data)

  Prints left side of condition..

  Specified by:

  leftSide in class ClassifierSplitModel

  Parameters:

  data - training set.

• rightSide

  public final java.lang.String rightSide​(int index,
                                          Instances data)

  Prints the condition satisfied by instances in a subset.

  Specified by:

  rightSide in class ClassifierSplitModel

  Parameters:

  index - of subset

  data - training set.

• sourceExpression

  public final java.lang.String sourceExpression​(int index,
                                                 Instances data)

  Returns a string containing java source code equivalent to the test made at this node. The instance being tested is called "i".

  Specified by:

  sourceExpression in class ClassifierSplitModel

  Parameters:

  index - index of the nominal value tested

  data - the data containing instance structure info

  Returns:

  a value of type 'String'

• setSplitPoint

  public final void setSplitPoint​(Instances allInstances)

  Sets split point to greatest value in given data smaller or equal to old split point. (C4.5 does this for some strange reason).

• minsAndMaxs

  public final double[][] minsAndMaxs​(Instances data,
                                      double[][] minsAndMaxs,
                                      int index)

  Returns the minsAndMaxs of the index.th subset.

• resetDistribution

  public void resetDistribution​(Instances data)
                         throws java.lang.Exception

  Sets distribution associated with model.

  Overrides:

  resetDistribution in class ClassifierSplitModel

  Throws:

  java.lang.Exception

• weights

  public final double[] weights​(Instance instance)

  Returns weights if instance is assigned to more than one subset. Returns null if instance is only assigned to one subset.

  Specified by:

  weights in class ClassifierSplitModel

• whichSubset

  public final int whichSubset​(Instance instance)
                        throws java.lang.Exception

  Returns index of subset instance is assigned to. Returns -1 if instance is assigned to more than one subset.

  Specified by:

  whichSubset in class ClassifierSplitModel

  Throws:

  java.lang.Exception - if something goes wrong

• getRevision

  public java.lang.String getRevision()

  Returns the revision string.

  Returns:

  the revision