Class WekaTrainTestSetEvaluator.EvaluateJob

  • All Implemented Interfaces:
    adams.core.CleanUpHandler, adams.core.logging.LoggingLevelHandler, adams.core.logging.LoggingSupporter, adams.core.SizeOfHandler, adams.core.Stoppable, adams.core.StoppableWithFeedback, adams.multiprocess.Job, Serializable
    Enclosing class:
    WekaTrainTestSetEvaluator

    public static class WekaTrainTestSetEvaluator.EvaluateJob
    extends adams.multiprocess.AbstractJob
    See Also:
    Serialized Form
    • Field Summary

      Fields 
      Modifier and Type Field Description
      protected weka.classifiers.Classifier m_Classifier
      the classifier to train.
      protected weka.classifiers.Evaluation m_Evaluation
      the evaluation object to use.
      protected weka.classifiers.evaluation.output.prediction.AbstractOutput m_Output
      for collecting the output.
      protected weka.core.Instances m_Test
      the data to use for testing.
      protected weka.core.Instances m_Train
      the data to use for training.
      • Fields inherited from class adams.multiprocess.AbstractJob

        m_Complete, m_ExecutionError, m_JobCompleteListener, m_JobInfo, m_ProgressInfo, m_Stopped
      • Fields inherited from class adams.core.logging.LoggingObject

        m_Logger, m_LoggingIsEnabled, m_LoggingLevel
    • Constructor Summary

      Constructors 
      Constructor Description
      EvaluateJob​(weka.classifiers.Classifier classifier, weka.core.Instances train, weka.core.Instances test, weka.classifiers.Evaluation eval, weka.classifiers.evaluation.output.prediction.AbstractOutput output)
      Initializes the job.
    • Method Summary

      All Methods Instance Methods Concrete Methods 
      Modifier and Type Method Description
      void cleanUp()
      Cleans up data structures, frees up memory.
      protected String postProcessCheck()
      Checks whether all post-conditions have been met.
      protected String preProcessCheck()
      Checks whether all pre-conditions have been met.
      protected void process()
      Does the actual execution of the job.
      String toString()
      Returns a string representation of this job.
      • Methods inherited from class adams.multiprocess.AbstractJob

        execute, getAdditionalErrorInformation, getExecutionError, getJobCompleteListener, getJobInfo, getProgressInfo, hasExecutionError, isComplete, isStopped, jobCompleted, setJobCompleteListener, setJobInfo, setProgressInfo, stopExecution
      • Methods inherited from class adams.core.logging.CustomLoggingLevelObject

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

        configureLogger, getLogger, getLoggingLevel, initializeLogging, isLoggingEnabled, sizeOf
      • Methods inherited from interface adams.core.logging.LoggingLevelHandler

        getLoggingLevel
      • Methods inherited from interface adams.core.logging.LoggingSupporter

        getLogger, isLoggingEnabled
    • Field Detail

      • m_Classifier

        protected weka.classifiers.Classifier m_Classifier
        the classifier to train.
      • m_Train

        protected weka.core.Instances m_Train
        the data to use for training.
      • m_Test

        protected weka.core.Instances m_Test
        the data to use for testing.
      • m_Evaluation

        protected weka.classifiers.Evaluation m_Evaluation
        the evaluation object to use.
      • m_Output

        protected weka.classifiers.evaluation.output.prediction.AbstractOutput m_Output
        for collecting the output.
    • Constructor Detail

      • EvaluateJob

        public EvaluateJob​(weka.classifiers.Classifier classifier,
                           weka.core.Instances train,
                           weka.core.Instances test,
                           weka.classifiers.Evaluation eval,
                           weka.classifiers.evaluation.output.prediction.AbstractOutput output)
        Initializes the job.
        Parameters:
        classifier - the classifier to train
        train - the training data
        test - the test data
        eval - the evaluation object to use
        output - for collecting the output
    • Method Detail

      • preProcessCheck

        protected String preProcessCheck()
        Checks whether all pre-conditions have been met.
        Specified by:
        preProcessCheck in class adams.multiprocess.AbstractJob
        Returns:
        null if everything is OK, otherwise an error message
      • process

        protected void process()
                        throws Exception
        Does the actual execution of the job.
        Specified by:
        process in class adams.multiprocess.AbstractJob
        Throws:
        Exception - if fails to execute job
      • postProcessCheck

        protected String postProcessCheck()
        Checks whether all post-conditions have been met.
        Specified by:
        postProcessCheck in class adams.multiprocess.AbstractJob
        Returns:
        null if everything is OK, otherwise an error message
      • toString

        public String toString()
        Returns a string representation of this job.
        Specified by:
        toString in class adams.multiprocess.AbstractJob
        Returns:
        the job as string
      • cleanUp

        public void cleanUp()
        Cleans up data structures, frees up memory. Removes dependencies and job parameters.
        Specified by:
        cleanUp in interface adams.core.CleanUpHandler
        Specified by:
        cleanUp in interface adams.multiprocess.Job
        Overrides:
        cleanUp in class adams.multiprocess.AbstractJob