Package adams.flow.transformer
Class WekaTrainClusterer.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.WekaTrainClusterer.BatchTrainJob
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- 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:
- WekaTrainClusterer
public static class WekaTrainClusterer.BatchTrainJob extends adams.multiprocess.AbstractJob- See Also:
- Serialized Form
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Field Summary
Fields Modifier and Type Field Description protected weka.clusterers.Clustererm_Clustererthe clusterer to train.protected WekaModelContainerm_Containerthe generated model container.protected weka.core.Instancesm_Datathe data to use for training.protected AbstractClustererPostProcessorm_PostProcessorthe postprocessor.
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Constructor Summary
Constructors Constructor Description BatchTrainJob(weka.clusterers.Clusterer cls, weka.core.Instances data, AbstractClustererPostProcessor postProcessor)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.LoggingObject
configureLogger, getLogger, getLoggingLevel, initializeLogging, isLoggingEnabled, sizeOf
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Field Detail
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m_Clusterer
protected weka.clusterers.Clusterer m_Clusterer
the clusterer 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_PostProcessor
protected AbstractClustererPostProcessor m_PostProcessor
the postprocessor.
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m_Container
protected WekaModelContainer m_Container
the generated model container.
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Constructor Detail
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BatchTrainJob
public BatchTrainJob(weka.clusterers.Clusterer cls, weka.core.Instances data, AbstractClustererPostProcessor postProcessor)Initializes the job.- Parameters:
cls- the clusterer to traindata- the training datapostProcessor- the post-processor to use
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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 classadams.multiprocess.AbstractJob- 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 classadams.multiprocess.AbstractJob- 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 classadams.multiprocess.AbstractJob- 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 classadams.multiprocess.AbstractJob- 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 interfaceadams.core.CleanUpHandler- Specified by:
cleanUpin interfaceadams.multiprocess.Job- Overrides:
cleanUpin classadams.multiprocess.AbstractJob
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