Package adams.data.featureconverter

Class FeatureContainer

java.lang.Object

adams.core.logging.LoggingObject

adams.core.logging.CustomLoggingLevelObject

adams.core.option.AbstractOptionHandler

adams.data.featureconverter.AbstractFeatureConverter

adams.data.featureconverter.FeatureContainer

All Implemented Interfaces:

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

public class FeatureContainer
extends AbstractFeatureConverter

Simply returns the header definition/row in a adams.flow.container.FeatureConverterContainer container.

-logging-level <OFF|SEVERE|WARNING|INFO|CONFIG|FINE|FINER|FINEST> (property: loggingLevel)
    The logging level for outputting errors and debugging output.
    default: WARNING
 

-dataset <java.lang.String> (property: dataset)
    The dataset name to use.
    default: Dataset
 

Version:

$Revision$

Author:

fracpete (fracpete at waikato dot ac dot nz)

See Also:

Serialized Form

Field Summary

Fields inherited from class adams.data.featureconverter.AbstractFeatureConverter

m_Dataset, m_Header, m_HeaderDefinition

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
FeatureContainer()

Method Summary

Modifier and Type	Method	Description
protected FeatureConverterContainer	doGenerateHeader(HeaderDefinition header)	Performs the actual generation of the header data structure using the supplied header definition.
protected FeatureConverterContainer	doGenerateRow(List data)	Performs the actual generation of a row from the raw data.
FeatureConverterContainer	generateHeader(HeaderDefinition header)	Generates the header data structure using the supplied header definition.
Class	getDatasetFormat()	Returns the class of the dataset that the converter generates.
Class	getRowFormat()	Returns the class of the row that the converter generates.
String	globalInfo()	Returns a string describing the object.

Methods inherited from class adams.data.featureconverter.AbstractFeatureConverter

datasetTipText, defineOptions, generateRow, getDataset, getHeader, getHeaderDefinition, getQuickInfo, isInitialized, reset, setDataset

Methods inherited from class adams.core.option.AbstractOptionHandler

cleanUpOptions, destroy, finishInit, getDefaultLoggingLevel, getOptionManager, initialize, loggingLevelTipText, newOptionManager, 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

FeatureContainer

public FeatureContainer()

Method Detail

globalInfo

public String globalInfo()

Returns a string describing the object.

Specified by:

globalInfo in interface GlobalInfoSupporter

Specified by:

globalInfo in class AbstractOptionHandler

Returns:

a description suitable for displaying in the gui

getDatasetFormat

public Class getDatasetFormat()

Returns the class of the dataset that the converter generates.

Specified by:

getDatasetFormat in class AbstractFeatureConverter

Returns:

the format

getRowFormat

public Class getRowFormat()

Returns the class of the row that the converter generates.

Specified by:

getRowFormat in class AbstractFeatureConverter

Returns:

the format

doGenerateHeader

protected FeatureConverterContainer doGenerateHeader(HeaderDefinition header)

Performs the actual generation of the header data structure using the supplied header definition.

Specified by:

doGenerateHeader in class AbstractFeatureConverter

Parameters:

header - the header definition

Returns:

the dataset structure

generateHeader

public FeatureConverterContainer generateHeader(HeaderDefinition header)

Generates the header data structure using the supplied header definition.

Overrides:

generateHeader in class AbstractFeatureConverter

Parameters:

header - the header definition

Returns:

the dataset structure

doGenerateRow

protected FeatureConverterContainer doGenerateRow(List data)

Performs the actual generation of a row from the raw data.

Specified by:

doGenerateRow in class AbstractFeatureConverter

Parameters:

data - the data of the row, elements can be null (= missing)

Returns:

the dataset structure