Package weka.classifiers.meta.socketfacade

Class AbstractDataPreparation

java.lang.Object

adams.core.logging.LoggingObject

adams.core.logging.CustomLoggingLevelObject

adams.core.option.AbstractOptionHandler

weka.classifiers.meta.socketfacade.AbstractDataPreparation

All Implemented Interfaces:

Destroyable, GlobalInfoSupporter, LoggingLevelHandler, LoggingSupporter, OptionHandler, SizeOfHandler, Serializable

Direct Known Subclasses:

Simple

public abstract class AbstractDataPreparation
extends AbstractOptionHandler

Ancestor for classes that prepare data for the SocketFacade classifier.

Author:

FracPete (fracpete at waikato dot ac dot nz)

See Also:

Serialized Form

Field Summary

Fields inherited from class adams.core.option.AbstractOptionHandler

m_OptionManager

Fields inherited from class adams.core.logging.LoggingObject

m_Logger, m_LoggingIsEnabled, m_LoggingLevel

Constructor Summary

Constructors

Constructor	Description
AbstractDataPreparation()

Method Summary

Modifier and Type	Method	Description
abstract double	parseClassify(byte[] data)	Parses the data received from the process, to be returned by the Classifier.classifyInstance(Instance) method.
abstract double[]	parseDistribution(byte[] data, int numClasses)	Parses the data received from the process, to be returned by the Classifier.distributionForInstance(Instance) method.
abstract String	parseTrain(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 the Classifier.classifyInstance(Instance) method.
abstract byte[]	prepareDistribution(weka.core.Instance inst, SocketFacade facade)	Prepares the instance for the Classifier.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

Methods inherited from class adams.core.logging.LoggingObject

configureLogger, getLogger, getLoggingLevel, initializeLogging, isLoggingEnabled, sizeOf

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Methods inherited from interface adams.core.logging.LoggingLevelHandler

getLoggingLevel

Constructor Detail

AbstractDataPreparation

public AbstractDataPreparation()

Method Detail

prepareTrain

public abstract byte[] prepareTrain(weka.core.Instances data,
                                    SocketFacade facade)

Prepares the data for training.

Parameters:

data - the data to use

facade - the classifier using the data preparation

Returns:

the prepared data

prepareClassify

public abstract byte[] prepareClassify(weka.core.Instance inst,
                                       SocketFacade facade)

Prepares the instance for the Classifier.classifyInstance(Instance) method.

Parameters:

inst - the data to use

facade - the classifier using the data preparation

Returns:

the prepared data

prepareDistribution

public abstract byte[] prepareDistribution(weka.core.Instance inst,
                                           SocketFacade facade)

Prepares the instance for the Classifier.distributionForInstance(Instance) method.

Parameters:

inst - the data to use

facade - the classifier using the data preparation

Returns:

the prepared data

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

parseClassify

public abstract double parseClassify(byte[] data)

Parses the data received from the process, to be returned by the Classifier.classifyInstance(Instance) method.

Parameters:

data - the data to parse

Returns:

the classification

parseDistribution

public abstract double[] parseDistribution(byte[] data,
                                           int numClasses)

Parses the data received from the process, to be returned by the Classifier.distributionForInstance(Instance) method.

Parameters:

data - the data to parse

numClasses - the number of classes

Returns:

the class distribution