Package adams.ml.model.regression

Class WekaRegressor

  • All Implemented Interfaces:
    adams.core.Destroyable, adams.core.GlobalInfoSupporter, adams.core.logging.LoggingLevelHandler, adams.core.logging.LoggingSupporter, adams.core.option.OptionHandler, adams.core.SizeOfHandler, adams.ml.capabilities.CapabilitiesHandler, adams.ml.model.Algorithm<adams.ml.model.regression.RegressionModel>, adams.ml.model.regression.Regressor, Serializable
    public class WekaRegressor
extends adams.ml.model.regression.AbstractRegressor
    Wraps around a Weka classifier that handles numeric classes (= regression). 

    -logging-level <OFF|SEVERE|WARNING|INFO|CONFIG|FINE|FINER|FINEST> (property: loggingLevel)
    The logging level for outputting errors and debugging output.
    default: WARNING
 
    -strict-capabilities <boolean> (property: strictCapabilities)
    If enabled, a strict capabilities test is performed; otherwise, it is attempted 
    to adjust the data to fit the algorithm's capabilities.
    default: false
 
    -classifier <weka.classifiers.Classifier> (property: classifier)
    The classifier to use.
    default: weka.classifiers.functions.LinearRegressionJ -S 0 -R 1.0E-8 -num-decimal-places 4
    Version:
    $Revision$
    Author:
    FracPete (fracpete at waikato dot ac dot nz)
    See Also:
    Serialized Form

    • Field Summary

      Fields 
      Modifier and Type Field Description
      protected weka.classifiers.Classifier m_Classifier
      the weka classifier to use.

      • Fields inherited from class adams.ml.model.regression.AbstractRegressor

        m_StrictCapabilities

      • Fields inherited from class adams.core.option.AbstractOptionHandler

        m_OptionManager

      • Fields inherited from class adams.core.logging.LoggingObject

        m_Logger, m_LoggingIsEnabled, m_LoggingLevel

    • Constructor Summary

      Constructors 
      Constructor Description
      WekaRegressor()  

    • Method Summary

      All Methods Instance Methods Concrete Methods 
      Modifier and Type Method Description
      String classifierTipText()
      Returns the tip text for this property.
      void defineOptions()
      Adds options to the internal list of options.
      protected adams.ml.model.regression.RegressionModel doBuildModel​(adams.ml.data.Dataset data)
      Builds a model from the data.
      adams.ml.capabilities.Capabilities getCapabilities()
      Returns the algorithm's capabilities in terms of data.
      weka.classifiers.Classifier getClassifier()
      Returns the classifier to use.
      String globalInfo()
      Returns a string describing the object.
      void setClassifier​(weka.classifiers.Classifier value)
      Sets the classifier to use.

      • Methods inherited from class adams.ml.model.regression.AbstractRegressor

        buildModel, check, getStrictCapabilities, handles, setStrictCapabilities, strictCapabilitiesTipText

      • Methods inherited from class adams.core.option.AbstractOptionHandler

        cleanUpOptions, destroy, finishInit, getDefaultLoggingLevel, getOptionManager, initialize, loggingLevelTipText, newOptionManager, reset, setLoggingLevel, toCommandLine, toString

      • Methods inherited from class adams.core.logging.LoggingObject

        configureLogger, getLogger, getLoggingLevel, initializeLogging, isLoggingEnabled, sizeOf

      • Methods inherited from interface adams.core.Destroyable

        destroy

      • Methods inherited from interface adams.core.logging.LoggingLevelHandler

        getLoggingLevel

      • Methods inherited from interface adams.core.option.OptionHandler

        cleanUpOptions, getOptionManager, toCommandLine

    • Field Detail

      • m_Classifier

        protected weka.classifiers.Classifier m_Classifier
        the weka classifier to use.

    • Constructor Detail

      • WekaRegressor

        public WekaRegressor()

    • 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 adams.ml.model.regression.AbstractRegressor

      • setClassifier

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

      • getClassifier

        public weka.classifiers.Classifier getClassifier()
        Returns the classifier to use.
        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.

      • getCapabilities

        public adams.ml.capabilities.Capabilities getCapabilities()
        Returns the algorithm's capabilities in terms of data.
        Specified by:
        getCapabilities in interface adams.ml.model.Algorithm<adams.ml.model.regression.RegressionModel>
        Specified by:
        getCapabilities in interface adams.ml.capabilities.CapabilitiesHandler
        Overrides:
        getCapabilities in class adams.ml.model.regression.AbstractRegressor
        Returns:
        the algorithm's capabilities

      • doBuildModel

        protected adams.ml.model.regression.RegressionModel doBuildModel​(adams.ml.data.Dataset data)
                                                          throws Exception
        Builds a model from the data.
        Specified by:
        doBuildModel in class adams.ml.model.regression.AbstractRegressor
        Parameters:
        data - the data to use for building the model
        Returns:
        the generated model
        Throws:
        Exception - if the build fails