Package adams.gui.tools.wekainvestigator.tab.classifytab

Class ResultItem

  • All Implemented Interfaces:
    adams.core.CleanUpHandler, adams.core.logging.LoggingSupporter, adams.core.SizeOfHandler, Serializable
    public class ResultItem
extends AbstractNestableResultItem
    Container for an evaluation, model, training set header. Used in the result history.
    Author:
    FracPete (fracpete at waikato dot ac dot nz)
    See Also:
    Serialized Form

    • Constructor Summary

      Constructors 
      Constructor Description
      ResultItem​(weka.classifiers.Classifier template, weka.core.Instances header)
      Initializes the item.

    • Method Summary

      All Methods Instance Methods Concrete Methods 
      Modifier and Type Method Description
      protected String createName()
      Creates the name from the members.
      adams.data.spreadsheet.SpreadSheet getAdditionalAttributes()
      Returns the stored additional attributes data.
      weka.classifiers.Evaluation getEvaluation()
      Returns the stored Evaluation object.
      weka.classifiers.Evaluation[] getFoldEvaluations()
      Returns the stored Evaluation objects per fold.
      weka.classifiers.Classifier[] getFoldModels()
      Returns the stored Classifier objects per fold.
      weka.classifiers.Classifier getModel()
      Returns the stored model object.
      int[] getOriginalIndices()
      Returns the stored original indices.
      weka.classifiers.Evaluation[] getRunEvaluations()
      Returns the stored Evaluation objects per run.
      adams.data.spreadsheet.MetaData getRunInformation()
      Returns the stored run information.
      weka.classifiers.Classifier[] getRunModels()
      Returns the stored Classifier objects per run.
      int[][] getRunOriginalIndices()
      Returns the stored original indices per run.
      weka.classifiers.Classifier getTemplate()
      Returns the stored template object.
      boolean hasAdditionalAttributes()
      Returns whether additional attributes data is present.
      boolean hasEvaluation()
      Returns whether an Evaluation object is present.
      boolean hasFoldEvaluations()
      Returns whether Evaluation objects per fold are present.
      boolean hasFoldModels()
      Returns whether Classifier objects per fold are present.
      boolean hasModel()
      Returns whether an model object is present.
      boolean hasOriginalIndices()
      Returns whether the original indices are present.
      boolean hasRunEvaluations()
      Returns whether Evaluation objects per run are present.
      boolean hasRunInformation()
      Returns whether run information is present.
      boolean hasRunModels()
      Returns whether Classifier objects per run are present.
      boolean hasRunOriginalIndices()
      Returns whether the original indices per run are present.
      void setAdditionalAttributes​(adams.data.spreadsheet.SpreadSheet value)
      Sets the additional attributes data.
      void setModel​(weka.classifiers.Classifier value)
      Sets the model to make available.
      void setTemplate​(weka.classifiers.Classifier value)
      Sets the stored template object.
      String toString()
      Returns a short description of the container.
      void update​(weka.classifiers.Evaluation evaluation, weka.classifiers.Classifier model)
      Updates the item.
      void update​(weka.classifiers.Evaluation evaluation, weka.classifiers.Classifier model, adams.data.spreadsheet.MetaData runInfo)
      Updates the item.
      void update​(weka.classifiers.Evaluation evaluation, weka.classifiers.Classifier model, adams.data.spreadsheet.MetaData runInfo, int[] original, adams.data.spreadsheet.SpreadSheet additional)
      Updates the item.
      void update​(weka.classifiers.Evaluation evaluation, weka.classifiers.Evaluation[] foldEvaluations, weka.classifiers.Classifier model, weka.classifiers.Classifier[] foldModels, adams.data.spreadsheet.MetaData runInfo, int[] original, adams.data.spreadsheet.SpreadSheet additional)
      Updates the item.
      void update​(weka.classifiers.Evaluation evaluation, weka.classifiers.Evaluation[] foldEvaluations, weka.classifiers.Evaluation[] runEvaluations, weka.classifiers.Classifier model, weka.classifiers.Classifier[] foldModels, weka.classifiers.Classifier[] runModels, adams.data.spreadsheet.MetaData runInfo, int[] original, int[][] runOriginals, adams.data.spreadsheet.SpreadSheet additional)
      Updates the item.

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

        configureLogger, getLogger, getLoggingLevel, initializeLogging, isLoggingEnabled, sizeOf

    • Field Detail

      • m_Evaluation

        protected weka.classifiers.Evaluation m_Evaluation
        the evaluation object.

      • m_FoldEvaluations

        protected weka.classifiers.Evaluation[] m_FoldEvaluations
        the evaluation objects from the folds.

      • m_RunEvaluations

        protected weka.classifiers.Evaluation[] m_RunEvaluations
        the evaluation objects from the runs.

      • m_Template

        protected weka.classifiers.Classifier m_Template
        the template.

      • m_Model

        protected weka.classifiers.Classifier m_Model
        the model.

      • m_FoldModels

        protected weka.classifiers.Classifier[] m_FoldModels
        the fold models.

      • m_RunModels

        protected weka.classifiers.Classifier[] m_RunModels
        the run models.

      • m_RunInformation

        protected adams.data.spreadsheet.MetaData m_RunInformation
        the run information.

      • m_OriginalIndices

        protected int[] m_OriginalIndices
        the original indices.

      • m_RunOriginalIndices

        protected int[][] m_RunOriginalIndices
        the original indices (runs).

      • m_AdditionalAttributes

        protected adams.data.spreadsheet.SpreadSheet m_AdditionalAttributes
        additional attributes.

    • Constructor Detail

      • ResultItem

        public ResultItem​(weka.classifiers.Classifier template,
                  weka.core.Instances header)
        Initializes the item.
        Parameters:
        template - the template
        header - the header of the training set, can be null

    • Method Detail

      • update

        public void update​(weka.classifiers.Evaluation evaluation,
                   weka.classifiers.Classifier model)
        Updates the item.
        Parameters:
        evaluation - the evaluation, can be null
        model - the model, can be null

      • update

        public void update​(weka.classifiers.Evaluation evaluation,
                   weka.classifiers.Classifier model,
                   adams.data.spreadsheet.MetaData runInfo)
        Updates the item.
        Parameters:
        evaluation - the evaluation, can be null
        model - the model, can be null
        runInfo - the meta-data for the run

      • update

        public void update​(weka.classifiers.Evaluation evaluation,
                   weka.classifiers.Classifier model,
                   adams.data.spreadsheet.MetaData runInfo,
                   int[] original,
                   adams.data.spreadsheet.SpreadSheet additional)
        Updates the item.
        Parameters:
        evaluation - the evaluation, can be null
        model - the model, can be null
        runInfo - the meta-data for the run
        original - the original indices, can be null
        additional - the additional attributes, can be null

      • update

        public void update​(weka.classifiers.Evaluation evaluation,
                   weka.classifiers.Evaluation[] foldEvaluations,
                   weka.classifiers.Classifier model,
                   weka.classifiers.Classifier[] foldModels,
                   adams.data.spreadsheet.MetaData runInfo,
                   int[] original,
                   adams.data.spreadsheet.SpreadSheet additional)
        Updates the item.
        Parameters:
        evaluation - the evaluation, can be null
        foldEvaluations - the evaluations per fold, can be null
        model - the model, can be null
        foldModels - the models per fold, can be null
        runInfo - the meta-data for the run
        original - the original indices, can be null
        additional - the additional attributes, can be null

      • update

        public void update​(weka.classifiers.Evaluation evaluation,
                   weka.classifiers.Evaluation[] foldEvaluations,
                   weka.classifiers.Evaluation[] runEvaluations,
                   weka.classifiers.Classifier model,
                   weka.classifiers.Classifier[] foldModels,
                   weka.classifiers.Classifier[] runModels,
                   adams.data.spreadsheet.MetaData runInfo,
                   int[] original,
                   int[][] runOriginals,
                   adams.data.spreadsheet.SpreadSheet additional)
        Updates the item.
        Parameters:
        evaluation - the evaluation, can be null
        foldEvaluations - the evaluations per fold, can be null
        runEvaluations - the evaluations per run, can be null
        model - the model, can be null
        foldModels - the models per fold, can be null
        runModels - the models per run, can be null
        runInfo - the meta-data for the run
        original - the original indices, can be null
        runOriginals - the original indices per run, can be null
        additional - the additional attributes, can be null

      • hasEvaluation

        public boolean hasEvaluation()
        Returns whether an Evaluation object is present.
        Returns:
        true if available

      • getEvaluation

        public weka.classifiers.Evaluation getEvaluation()
        Returns the stored Evaluation object.
        Returns:
        the evaluation, null if not present

      • hasFoldEvaluations

        public boolean hasFoldEvaluations()
        Returns whether Evaluation objects per fold are present.
        Returns:
        true if available

      • getFoldEvaluations

        public weka.classifiers.Evaluation[] getFoldEvaluations()
        Returns the stored Evaluation objects per fold.
        Returns:
        the evaluations per fold, null if not present

      • hasRunEvaluations

        public boolean hasRunEvaluations()
        Returns whether Evaluation objects per run are present.
        Returns:
        true if available

      • getRunEvaluations

        public weka.classifiers.Evaluation[] getRunEvaluations()
        Returns the stored Evaluation objects per run.
        Returns:
        the evaluations per run, null if not present

      • setTemplate

        public void setTemplate​(weka.classifiers.Classifier value)
        Sets the stored template object.
        Parameters:
        value - the template

      • getTemplate

        public weka.classifiers.Classifier getTemplate()
        Returns the stored template object.
        Returns:
        the template

      • hasModel

        public boolean hasModel()
        Returns whether an model object is present.
        Returns:
        true if available

      • setModel

        public void setModel​(weka.classifiers.Classifier value)
        Sets the model to make available.
        Parameters:
        value - the model

      • getModel

        public weka.classifiers.Classifier getModel()
        Returns the stored model object.
        Returns:
        the model, null if not present

      • hasFoldModels

        public boolean hasFoldModels()
        Returns whether Classifier objects per fold are present.
        Returns:
        true if available

      • getFoldModels

        public weka.classifiers.Classifier[] getFoldModels()
        Returns the stored Classifier objects per fold.
        Returns:
        the classifiers per fold, null if not present

      • hasRunModels

        public boolean hasRunModels()
        Returns whether Classifier objects per run are present.
        Returns:
        true if available

      • getRunModels

        public weka.classifiers.Classifier[] getRunModels()
        Returns the stored Classifier objects per run.
        Returns:
        the classifiers per run, null if not present

      • hasRunInformation

        public boolean hasRunInformation()
        Returns whether run information is present.
        Returns:
        true if available

      • getRunInformation

        public adams.data.spreadsheet.MetaData getRunInformation()
        Returns the stored run information.
        Returns:
        the information, null if not present

      • hasOriginalIndices

        public boolean hasOriginalIndices()
        Returns whether the original indices are present.
        Returns:
        true if available

      • getOriginalIndices

        public int[] getOriginalIndices()
        Returns the stored original indices.
        Returns:
        the indices, null if not present

      • hasRunOriginalIndices

        public boolean hasRunOriginalIndices()
        Returns whether the original indices per run are present.
        Returns:
        true if available

      • getRunOriginalIndices

        public int[][] getRunOriginalIndices()
        Returns the stored original indices per run.
        Returns:
        the indices, null if not present

      • hasAdditionalAttributes

        public boolean hasAdditionalAttributes()
        Returns whether additional attributes data is present.
        Returns:
        true if available

      • setAdditionalAttributes

        public void setAdditionalAttributes​(adams.data.spreadsheet.SpreadSheet value)
        Sets the additional attributes data.
        Parameters:
        value - the data, null if not present

      • getAdditionalAttributes

        public adams.data.spreadsheet.SpreadSheet getAdditionalAttributes()
        Returns the stored additional attributes data.
        Returns:
        the data, null if not present

      • toString

        public String toString()
        Returns a short description of the container.
        Specified by:
        toString in class AbstractResultItem
        Returns:
        the description