Package adams.flow.transformer

Class WekaTrainClusterer.BatchTrainJob

  • All Implemented Interfaces:
    adams.core.CleanUpHandler, adams.core.logging.LoggingSupporter, adams.core.SizeOfHandler, adams.core.Stoppable, adams.core.StoppableWithFeedback, adams.multiprocess.Job, Serializable
    Enclosing class:
    WekaTrainClusterer
    public static class WekaTrainClusterer.BatchTrainJob
extends adams.multiprocess.AbstractJob
    See Also:
    Serialized Form

    • Field Summary

      Fields 
      Modifier and Type Field Description
      protected weka.clusterers.Clusterer m_Clusterer
      the clusterer to train.
      protected WekaModelContainer m_Container
      the generated model container.
      protected weka.core.Instances m_Data
      the data to use for training.
      protected AbstractClustererPostProcessor m_PostProcessor
      the postprocessor.

      • Fields inherited from class adams.multiprocess.AbstractJob

        m_Complete, m_ExecutionError, m_JobCompleteListener, m_JobInfo, m_Stopped

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

        m_Logger, m_LoggingIsEnabled, m_LoggingLevel

    • Method Summary

      All Methods Instance Methods Concrete Methods 
      Modifier and Type Method Description
      void cleanUp()
      Cleans up data structures, frees up memory.
      WekaModelContainer getContainer()
      Returns the generated model container.
      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, hasExecutionError, isComplete, isStopped, jobCompleted, setJobCompleteListener, setJobInfo, stopExecution

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

        configureLogger, getLogger, getLoggingLevel, initializeLogging, isLoggingEnabled, sizeOf

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

        getLogger, isLoggingEnabled

    • Field Detail

      • m_Clusterer

        protected weka.clusterers.Clusterer m_Clusterer
        the clusterer to train.

      • m_Data

        protected weka.core.Instances m_Data
        the data to use for training.

    • Constructor Detail

      • BatchTrainJob

        public BatchTrainJob​(weka.clusterers.Clusterer cls,
                     weka.core.Instances data,
                     AbstractClustererPostProcessor postProcessor)
        Initializes the job.
        Parameters:
        cls - the clusterer to train
        data - the training data
        postProcessor - the post-processor to use

    • Method Detail

      • getContainer

        public WekaModelContainer getContainer()
        Returns the generated model container.
        Returns:
        the container, null if none available

      • 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