Package weka.classifiers.trees

Class REPTree

    • Constructor Detail

      • REPTree

        public REPTree()

    • Method Detail

      • globalInfo

        public java.lang.String globalInfo()
        Returns a string describing classifier
        Returns:
        a description suitable for displaying in the explorer/experimenter gui

      • noPruningTipText

        public java.lang.String noPruningTipText()
        Returns the tip text for this property
        Returns:
        tip text for this property suitable for displaying in the explorer/experimenter gui

      • getNoPruning

        public boolean getNoPruning()
        Get the value of NoPruning.
        Returns:
        Value of NoPruning.

      • setNoPruning

        public void setNoPruning​(boolean newNoPruning)
        Set the value of NoPruning.
        Parameters:
        newNoPruning - Value to assign to NoPruning.

      • minNumTipText

        public java.lang.String minNumTipText()
        Returns the tip text for this property
        Returns:
        tip text for this property suitable for displaying in the explorer/experimenter gui

      • getMinNum

        public double getMinNum()
        Get the value of MinNum.
        Returns:
        Value of MinNum.

      • setMinNum

        public void setMinNum​(double newMinNum)
        Set the value of MinNum.
        Parameters:
        newMinNum - Value to assign to MinNum.

      • minVariancePropTipText

        public java.lang.String minVariancePropTipText()
        Returns the tip text for this property
        Returns:
        tip text for this property suitable for displaying in the explorer/experimenter gui

      • getMinVarianceProp

        public double getMinVarianceProp()
        Get the value of MinVarianceProp.
        Returns:
        Value of MinVarianceProp.

      • setMinVarianceProp

        public void setMinVarianceProp​(double newMinVarianceProp)
        Set the value of MinVarianceProp.
        Parameters:
        newMinVarianceProp - Value to assign to MinVarianceProp.

      • seedTipText

        public java.lang.String seedTipText()
        Returns the tip text for this property
        Returns:
        tip text for this property suitable for displaying in the explorer/experimenter gui

      • getSeed

        public int getSeed()
        Get the value of Seed.
        Specified by:
        getSeed in interface Randomizable
        Returns:
        Value of Seed.

      • setSeed

        public void setSeed​(int newSeed)
        Set the value of Seed.
        Specified by:
        setSeed in interface Randomizable
        Parameters:
        newSeed - Value to assign to Seed.

      • numFoldsTipText

        public java.lang.String numFoldsTipText()
        Returns the tip text for this property
        Returns:
        tip text for this property suitable for displaying in the explorer/experimenter gui

      • getNumFolds

        public int getNumFolds()
        Get the value of NumFolds.
        Returns:
        Value of NumFolds.

      • setNumFolds

        public void setNumFolds​(int newNumFolds)
        Set the value of NumFolds.
        Parameters:
        newNumFolds - Value to assign to NumFolds.

      • maxDepthTipText

        public java.lang.String maxDepthTipText()
        Returns the tip text for this property
        Returns:
        tip text for this property suitable for displaying in the explorer/experimenter gui

      • getMaxDepth

        public int getMaxDepth()
        Get the value of MaxDepth.
        Returns:
        Value of MaxDepth.

      • setMaxDepth

        public void setMaxDepth​(int newMaxDepth)
        Set the value of MaxDepth.
        Parameters:
        newMaxDepth - Value to assign to MaxDepth.

      • initialCountTipText

        public java.lang.String initialCountTipText()
        Returns the tip text for this property
        Returns:
        tip text for this property suitable for displaying in the explorer/experimenter gui

      • getInitialCount

        public double getInitialCount()
        Get the value of InitialCount.
        Returns:
        Value of InitialCount.

      • setInitialCount

        public void setInitialCount​(double newInitialCount)
        Set the value of InitialCount.
        Parameters:
        newInitialCount - Value to assign to InitialCount.

      • spreadInitialCountTipText

        public java.lang.String spreadInitialCountTipText()
        Returns the tip text for this property
        Returns:
        tip text for this property suitable for displaying in the explorer/experimenter gui

      • getSpreadInitialCount

        public boolean getSpreadInitialCount()
        Get the value of SpreadInitialCount.
        Returns:
        Value of SpreadInitialCount.

      • setSpreadInitialCount

        public void setSpreadInitialCount​(boolean newSpreadInitialCount)
        Set the value of SpreadInitialCount.
        Parameters:
        newSpreadInitialCount - Value to assign to SpreadInitialCount.

      • setOptions

        public void setOptions​(java.lang.String[] options)
                throws java.lang.Exception
        Parses a given list of options.

        Valid options are: 

         -M <minimum number of instances>
  Set minimum number of instances per leaf (default 2).
 
         -V <minimum variance for split>
  Set minimum numeric class variance proportion
  of train variance for split (default 1e-3).
 
         -N <number of folds>
  Number of folds for reduced error pruning (default 3).
 
         -S <seed>
  Seed for random data shuffling (default 1).
 
         -P
  No pruning.
 
         -L
  Maximum tree depth (default -1, no maximum)
        Specified by:
        setOptions in interface OptionHandler
        Overrides:
        setOptions in class AbstractClassifier
        Parameters:
        options - the list of options as an array of strings
        Throws:
        java.lang.Exception - if an option is not supported

      • numNodes

        public int numNodes()
        Computes size of the tree.
        Returns:
        the number of nodes

      • enumerateMeasures

        public java.util.Enumeration<java.lang.String> enumerateMeasures()
        Returns an enumeration of the additional measure names.
        Specified by:
        enumerateMeasures in interface AdditionalMeasureProducer
        Returns:
        an enumeration of the measure names

      • getMeasure

        public double getMeasure​(java.lang.String additionalMeasureName)
        Returns the value of the named measure.
        Specified by:
        getMeasure in interface AdditionalMeasureProducer
        Parameters:
        additionalMeasureName - the name of the measure to query for its value
        Returns:
        the value of the named measure
        Throws:
        java.lang.IllegalArgumentException - if the named measure is not supported

      • buildClassifier

        public void buildClassifier​(Instances data)
                     throws java.lang.Exception
        Builds classifier.
        Specified by:
        buildClassifier in interface Classifier
        Parameters:
        data - the data to train with
        Throws:
        java.lang.Exception - if building fails

      • distributionForInstance

        public double[] distributionForInstance​(Instance instance)
                                 throws java.lang.Exception
        Computes class distribution of an instance using the tree.
        Specified by:
        distributionForInstance in interface Classifier
        Overrides:
        distributionForInstance in class AbstractClassifier
        Parameters:
        instance - the instance to compute the distribution for
        Returns:
        the computed class probabilities
        Throws:
        java.lang.Exception - if computation fails

      • toSource

        public java.lang.String toSource​(java.lang.String className)
                          throws java.lang.Exception
        Returns the tree as if-then statements.
        Specified by:
        toSource in interface Sourcable
        Parameters:
        className - the name for the generated class
        Returns:
        the tree as a Java if-then type statement
        Throws:
        java.lang.Exception - if something goes wrong

      • graphType

        public int graphType()
        Returns the type of graph this classifier represents.
        Specified by:
        graphType in interface Drawable
        Returns:
        Drawable.TREE

      • graph

        public java.lang.String graph()
                       throws java.lang.Exception
        Outputs the decision tree as a graph
        Specified by:
        graph in interface Drawable
        Returns:
        the tree as a graph
        Throws:
        java.lang.Exception - if generation fails

      • toString

        public java.lang.String toString()
        Outputs the decision tree.
        Overrides:
        toString in class java.lang.Object
        Returns:
        a string representation of the classifier

      • generatePartition

        public void generatePartition​(Instances data)
                       throws java.lang.Exception
        Builds the classifier to generate a partition.
        Specified by:
        generatePartition in interface PartitionGenerator
        Throws:
        java.lang.Exception

      • getMembershipValues

        public double[] getMembershipValues​(Instance instance)
                             throws java.lang.Exception
        Computes array that indicates node membership. Array locations are allocated based on breadth-first exploration of the tree.
        Specified by:
        getMembershipValues in interface PartitionGenerator
        Throws:
        java.lang.Exception

      • numElements

        public int numElements()
                throws java.lang.Exception
        Returns the number of elements in the partition.
        Specified by:
        numElements in interface PartitionGenerator
        Throws:
        java.lang.Exception

      • main

        public static void main​(java.lang.String[] argv)
        Main method for this class.
        Parameters:
        argv - the commandline options