Package adams.data.cleaner.instance

Class RemoveMisclassifiedCleaner

  • All Implemented Interfaces:
    adams.core.Destroyable, adams.core.GlobalInfoSupporter, adams.core.logging.LoggingLevelHandler, adams.core.logging.LoggingSupporter, adams.core.option.OptionHandler, adams.core.SerializableObject, adams.core.ShallowCopySupporter<AbstractCleaner>, adams.core.SizeOfHandler, adams.flow.core.FlowContextHandler, Serializable, Comparable
    public class RemoveMisclassifiedCleaner
extends AbstractSerializableCleaner
    Removes instances that are misclassified by the given relative difference, unless they are within the absolute difference.

    Valid options are: 

    -D <int> (property: debugLevel)
    The greater the number the more additional info the scheme may output to
    the console (0 = off).
    default: 0
    minimum: 0
 
    -serialization-file <adams.core.io.PlaceholderFile> (property: serializationFile)
    The file to serialize the generated internal model to.
    default: ${CWD}
 
    -override-serialized-file (property: overrideSerializedFile)
    If set to true, then any serialized file will be ignored and the setup for
    serialization will be regenerated.
 
    -reldiff <double> (property: reldiff)
    Maximum relative difference between target and prediction; predictions beyond
    this difference will be removed; to turn off, use 0.
    default: 0.25
 
    -absdiff <double> (property: absdiff)
    If the diffence between target and prediction is <= this value, then the
    instance will not be removed regardless of relative difference.
    default: 1.0
 
    -iterations <int> (property: iterations)
    Number of passes for the misclassification process.
    default: 1
 
    -folds <int> (property: folds)
    Number of folds for the cross-validation.
    default: 3
 
    -classifier <weka.classifiers.Classifier> (property: classifier)
    Classifier to use for generating predictions.
    default: weka.classifiers.meta.SpectrumClassifier -W weka.classifiers.functions.PLSClassifier -- -filter \"weka.filters.supervised.attribute.PLSFilter -C 20 -M -A PLS1 -P center\"
    Author:
    dale (dale at waikato dot ac dot nz)
    See Also:
    Serialized Form

    • Field Detail

      • m_RelDiff

        protected double m_RelDiff
        the relative difference.

      • m_AbsDiff

        protected double m_AbsDiff
        absolute difference.

      • m_Folds

        protected int m_Folds
        number of fold for the cross validation.

      • m_Iterations

        protected int m_Iterations
        number of cleaning iterations to run.

      • m_Classifier

        protected weka.classifiers.Classifier m_Classifier
        WEKA classifier used for modeling.

      • m_Filter

        protected weka.filters.unsupervised.instance.RemoveMisclassifiedRel m_Filter
        the filter.

      • m_FilteredInitData

        protected weka.core.Instances m_FilteredInitData
        the filtered data generated when initializing the postprocessor.

    • Constructor Detail

      • RemoveMisclassifiedCleaner

        public RemoveMisclassifiedCleaner()

    • Method Detail

      • globalInfo

        public String globalInfo()
        Returns a string describing the object.
        Specified by:
        globalInfo in interface adams.core.GlobalInfoSupporter
        Specified by:
        globalInfo in class adams.core.option.AbstractOptionHandler
        Returns:
        a description suitable for displaying in the gui

      • defineOptions

        public void defineOptions()
        Adds options to the internal list of options.
        Specified by:
        defineOptions in interface adams.core.option.OptionHandler
        Overrides:
        defineOptions in class AbstractSerializableCleaner

      • setReldiff

        public void setReldiff​(double value)
        Sets the relative difference.
        Parameters:
        value - relative difference

      • getReldiff

        public double getReldiff()
        Returns the relative difference.
        Returns:
        the relative difference

      • reldiffTipText

        public String reldiffTipText()
        Returns the tip text for this property.
        Returns:
        tip text for this property suitable for displaying in the GUI or for listing the options.

      • setAbsdiff

        public void setAbsdiff​(double value)
        Sets the absolute difference.
        Parameters:
        value - absolute difference

      • getAbsdiff

        public double getAbsdiff()
        Returns the absolute difference.
        Returns:
        the absolute difference

      • absdiffTipText

        public String absdiffTipText()
        Returns the tip text for this property.
        Returns:
        tip text for this property suitable for displaying in the GUI or for listing the options.

      • setIterations

        public void setIterations​(int value)
        Sets the iterations.
        Parameters:
        value - iterations

      • getIterations

        public int getIterations()
        Returns the iterations.
        Returns:
        the iterations

      • iterationsTipText

        public String iterationsTipText()
        Returns the tip text for this property.
        Returns:
        tip text for this property suitable for displaying in the GUI or for listing the options.

      • setFolds

        public void setFolds​(int value)
        Sets the folds.
        Parameters:
        value - folds

      • getFolds

        public int getFolds()
        Returns the folds.
        Returns:
        the folds

      • foldsTipText

        public String foldsTipText()
        Returns the tip text for this property.
        Returns:
        tip text for this property suitable for displaying in the GUI or for listing the options.

      • setClassifier

        public void setClassifier​(weka.classifiers.Classifier value)
        Sets the classifier.
        Parameters:
        value - classifier

      • getClassifier

        public weka.classifiers.Classifier getClassifier()
        Returns the classifier.
        Returns:
        the classifier

      • classifierTipText

        public String classifierTipText()
        Returns the tip text for this property.
        Returns:
        tip text for this property suitable for displaying in the GUI or for listing the options.

      • performCheck

        protected String performCheck​(weka.core.Instance data)
        Performs the actual check.
        Specified by:
        performCheck in class AbstractCleaner
        Parameters:
        data - the Instance to check
        Returns:
        null if ok, otherwise error message

      • initSerializationSetup

        public void initSerializationSetup()
        Regenerates all the objects that are necessary for serialization.

      • retrieveSerializationSetup

        public Object[] retrieveSerializationSetup()
        Returns the member variables to serialize to a file.
        Returns:
        the objects to serialize

      • setSerializationSetup

        public void setSerializationSetup​(Object[] value)
        Updates the member variables with the provided objects obtained from deserialization.
        Parameters:
        value - the deserialized objects

      • performClean

        protected weka.core.Instances performClean​(weka.core.Instances instances)
        Clean Instances.
        Specified by:
        performClean in class AbstractCleaner
        Parameters:
        instances - Instances
        Returns:
        null if ok, otherwise error message