Package weka.classifiers.meta

Class SumTransformed

  • All Implemented Interfaces:
    Serializable, Cloneable, weka.classifiers.Classifier, weka.core.BatchPredictor, weka.core.CapabilitiesHandler, weka.core.CapabilitiesIgnorer, weka.core.CommandlineRunnable, weka.core.OptionHandler, weka.core.RevisionHandler, weka.core.WeightedInstancesHandler
    public class SumTransformed
extends weka.classifiers.SingleClassifierEnhancer
implements weka.core.WeightedInstancesHandler
    Finds the base classifier with the best least median squared error.
    See Also:
    Serialized Form

    • Field Summary

      Fields 
      Modifier and Type Field Description
      protected weka.core.Instances m_Header
      the header information of the transformed data.

      • Fields inherited from class weka.classifiers.SingleClassifierEnhancer

        m_Classifier

      • Fields inherited from class weka.classifiers.AbstractClassifier

        BATCH_SIZE_DEFAULT, m_BatchSize, m_Debug, m_DoNotCheckCapabilities, m_numDecimalPlaces, NUM_DECIMAL_PLACES_DEFAULT

    • Constructor Summary

      Constructors 
      Constructor Description
      SumTransformed()  

    • Method Summary

      All Methods Static Methods Instance Methods Concrete Methods 
      Modifier and Type Method Description
      void buildClassifier​(weka.core.Instances ins)
      Builds the classifier.
      double classifyInstance​(weka.core.Instance inst)
      Returns the prediction.
      String getRevision()  
      String globalInfo()
      Returns a string describing classifier.
      static void main​(String[] argv)
      Main method for running this class.
      String toString()
      Returns description of classifier.
      protected weka.core.Instance transformInstance​(weka.core.Instance in)
      Just sums up all the peaks.

      • Methods inherited from class weka.classifiers.SingleClassifierEnhancer

        classifierTipText, defaultClassifierOptions, defaultClassifierString, getCapabilities, getClassifier, getClassifierSpec, getOptions, listOptions, postExecution, preExecution, setClassifier, setOptions

      • Methods inherited from class weka.classifiers.AbstractClassifier

        batchSizeTipText, debugTipText, distributionForInstance, distributionsForInstances, doNotCheckCapabilitiesTipText, forName, getBatchSize, getDebug, getDoNotCheckCapabilities, getNumDecimalPlaces, implementsMoreEfficientBatchPrediction, makeCopies, makeCopy, numDecimalPlacesTipText, run, runClassifier, setBatchSize, setDebug, setDoNotCheckCapabilities, setNumDecimalPlaces

    • Field Detail

      • m_Header

        protected weka.core.Instances m_Header
        the header information of the transformed data.

    • Constructor Detail

      • SumTransformed

        public SumTransformed()

    • Method Detail

      • globalInfo

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

      • transformInstance

        protected weka.core.Instance transformInstance​(weka.core.Instance in)
        Just sums up all the peaks.
        Parameters:
        in - the instance to transform
        Returns:
        the transformed instance

      • buildClassifier

        public void buildClassifier​(weka.core.Instances ins)
                     throws Exception
        Builds the classifier.
        Specified by:
        buildClassifier in interface weka.classifiers.Classifier
        Parameters:
        ins - the training data
        Throws:
        Exception - if training fails

      • classifyInstance

        public double classifyInstance​(weka.core.Instance inst)
                        throws Exception
        Returns the prediction.
        Specified by:
        classifyInstance in interface weka.classifiers.Classifier
        Overrides:
        classifyInstance in class weka.classifiers.AbstractClassifier
        Parameters:
        inst - the instance to predict
        Returns:
        the prediction
        Throws:
        Exception - if prediction fails

      • toString

        public String toString()
        Returns description of classifier.
        Overrides:
        toString in class Object
        Returns:
        the model

      • getRevision

        public String getRevision()
        Specified by:
        getRevision in interface weka.core.RevisionHandler
        Overrides:
        getRevision in class weka.classifiers.AbstractClassifier

      • main

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