Class AbstractDataPreparation
- java.lang.Object
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- adams.core.logging.LoggingObject
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- adams.core.logging.CustomLoggingLevelObject
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- adams.core.option.AbstractOptionHandler
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- weka.classifiers.meta.socketfacade.AbstractDataPreparation
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- All Implemented Interfaces:
adams.core.Destroyable,adams.core.GlobalInfoSupporter,adams.core.logging.LoggingLevelHandler,adams.core.logging.LoggingSupporter,adams.core.option.OptionHandler,adams.core.SizeOfHandler,Serializable
- Direct Known Subclasses:
Simple
public abstract class AbstractDataPreparation extends adams.core.option.AbstractOptionHandlerAncestor for classes that prepare data for theSocketFacadeclassifier.- Author:
- FracPete (fracpete at waikato dot ac dot nz)
- See Also:
- Serialized Form
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Constructor Summary
Constructors Constructor Description AbstractDataPreparation()
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Method Summary
All Methods Instance Methods Abstract Methods Modifier and Type Method Description abstract doubleparseClassify(byte[] data)Parses the data received from the process, to be returned by theClassifier.classifyInstance(Instance)method.abstract double[]parseDistribution(byte[] data, int numClasses)Parses the data received from the process, to be returned by theClassifier.distributionForInstance(Instance)method.abstract StringparseTrain(byte[] data)Parses the data received from the process from the training process.abstract byte[]prepareClassify(weka.core.Instance inst, SocketFacade facade)Prepares the instance for theClassifier.classifyInstance(Instance)method.abstract byte[]prepareDistribution(weka.core.Instance inst, SocketFacade facade)Prepares the instance for theClassifier.distributionForInstance(Instance)method.abstract byte[]prepareTrain(weka.core.Instances data, SocketFacade facade)Prepares the data for training.-
Methods inherited from class adams.core.option.AbstractOptionHandler
cleanUpOptions, defineOptions, destroy, finishInit, getDefaultLoggingLevel, getOptionManager, globalInfo, initialize, loggingLevelTipText, newOptionManager, reset, setLoggingLevel, toCommandLine, toString
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Methods inherited from class adams.core.logging.LoggingObject
configureLogger, getLogger, getLoggingLevel, initializeLogging, isLoggingEnabled, sizeOf
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Method Detail
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prepareTrain
public abstract byte[] prepareTrain(weka.core.Instances data, SocketFacade facade)Prepares the data for training.- Parameters:
data- the data to usefacade- the classifier using the data preparation- Returns:
- the prepared data
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prepareClassify
public abstract byte[] prepareClassify(weka.core.Instance inst, SocketFacade facade)Prepares the instance for theClassifier.classifyInstance(Instance)method.- Parameters:
inst- the data to usefacade- the classifier using the data preparation- Returns:
- the prepared data
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prepareDistribution
public abstract byte[] prepareDistribution(weka.core.Instance inst, SocketFacade facade)Prepares the instance for theClassifier.distributionForInstance(Instance)method.- Parameters:
inst- the data to usefacade- the classifier using the data preparation- Returns:
- the prepared data
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parseTrain
public abstract String parseTrain(byte[] data)
Parses the data received from the process from the training process.- Parameters:
data- the data to parse- Returns:
- null if successful, otherwise error message
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parseClassify
public abstract double parseClassify(byte[] data)
Parses the data received from the process, to be returned by theClassifier.classifyInstance(Instance)method.- Parameters:
data- the data to parse- Returns:
- the classification
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parseDistribution
public abstract double[] parseDistribution(byte[] data, int numClasses)Parses the data received from the process, to be returned by theClassifier.distributionForInstance(Instance)method.- Parameters:
data- the data to parsenumClasses- the number of classes- Returns:
- the class distribution
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