Package adams.flow.transformer
Class WekaTrainClassifier.BatchTrainJob
- java.lang.Object
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- adams.core.logging.LoggingObject
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- adams.core.logging.CustomLoggingLevelObject
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- adams.multiprocess.AbstractJob
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- adams.flow.transformer.WekaTrainClassifier.BatchTrainJob
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- All Implemented Interfaces:
CleanUpHandler,LoggingLevelHandler,LoggingSupporter,SizeOfHandler,Stoppable,StoppableWithFeedback,Job,Serializable
- Enclosing class:
- WekaTrainClassifier
public static class WekaTrainClassifier.BatchTrainJob extends AbstractJob
- See Also:
- Serialized Form
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Field Summary
Fields Modifier and Type Field Description protected weka.classifiers.Classifierm_Classifierthe classifier to train.protected WekaModelContainerm_Containerthe model container.protected weka.core.Instancesm_Datathe data to use for training.-
Fields inherited from class adams.multiprocess.AbstractJob
m_Complete, m_ExecutionError, m_JobCompleteListener, m_JobInfo, m_ProgressInfo, m_Stopped
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Fields inherited from class adams.core.logging.LoggingObject
m_Logger, m_LoggingIsEnabled, m_LoggingLevel
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Constructor Summary
Constructors Constructor Description BatchTrainJob(weka.classifiers.Classifier cls, weka.core.Instances data)Initializes the job.
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description voidcleanUp()Cleans up data structures, frees up memory.WekaModelContainergetContainer()Returns the generated model container.protected StringpostProcessCheck()Checks whether all post-conditions have been met.protected StringpreProcessCheck()Checks whether all pre-conditions have been met.protected voidprocess()Does the actual execution of the job.StringtoString()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
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Methods inherited from class adams.core.logging.CustomLoggingLevelObject
setLoggingLevel
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Methods inherited from class adams.core.logging.LoggingObject
configureLogger, getLogger, getLoggingLevel, initializeLogging, isLoggingEnabled, sizeOf
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Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait
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Methods inherited from interface adams.core.logging.LoggingLevelHandler
getLoggingLevel
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Methods inherited from interface adams.core.logging.LoggingSupporter
getLogger, isLoggingEnabled
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Field Detail
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m_Classifier
protected weka.classifiers.Classifier m_Classifier
the classifier to train.
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m_Data
protected weka.core.Instances m_Data
the data to use for training.
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m_Container
protected WekaModelContainer m_Container
the model container.
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Method Detail
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getContainer
public WekaModelContainer getContainer()
Returns the generated model container.- Returns:
- the container, null if none available
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preProcessCheck
protected String preProcessCheck()
Checks whether all pre-conditions have been met.- Specified by:
preProcessCheckin classAbstractJob- Returns:
- null if everything is OK, otherwise an error message
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process
protected void process() throws ExceptionDoes the actual execution of the job.- Specified by:
processin classAbstractJob- Throws:
Exception- if fails to execute job
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postProcessCheck
protected String postProcessCheck()
Checks whether all post-conditions have been met.- Specified by:
postProcessCheckin classAbstractJob- Returns:
- null if everything is OK, otherwise an error message
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toString
public String toString()
Returns a string representation of this job.- Specified by:
toStringin classAbstractJob- Returns:
- the job as string
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cleanUp
public void cleanUp()
Cleans up data structures, frees up memory. Removes dependencies and job parameters.- Specified by:
cleanUpin interfaceCleanUpHandler- Specified by:
cleanUpin interfaceJob- Overrides:
cleanUpin classAbstractJob
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