Package adams.flow.container

Class WekaAttributeSelectionContainer

java.lang.Object

adams.flow.container.AbstractContainer

adams.flow.container.WekaAttributeSelectionContainer

All Implemented Interfaces:

adams.core.CloneHandler<adams.flow.container.Container>, adams.core.GlobalInfoSupporter, adams.data.spreadsheet.SpreadSheetSupporter, adams.flow.container.Container, Serializable

public class WekaAttributeSelectionContainer
extends adams.flow.container.AbstractContainer

A container for storing results from attribute selection.

In case of performing cross-validation: seed and fold count get stored as well.

Version:

$Revision$

Author:

fracpete (fracpete at waikato dot ac dot nz)

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field	Description
static String	VALUE_EVALUATION	the identifier for the evaluation object.
static String	VALUE_FOLD_COUNT	the identifier for the fold count.
static String	VALUE_REDUCED	the identifier for the reduced data.
static String	VALUE_SEED	the identifier for the random seed.
static String	VALUE_SELECTEDATTRIBUTES	the identifier for the Remove filter setup.
static String	VALUE_STATISTICS	the identifier for the statistics object.
static String	VALUE_TEST	the identifier for the test data.
static String	VALUE_TEST_REDUCED	the identifier for the reduced data.
static String	VALUE_TEST_TRANSFORMED	the identifier for the transformed data.
static String	VALUE_TRAIN	the identifier for the training data.
static String	VALUE_TRANSFORMED	the identifier for the transformed data.

Fields inherited from class adams.flow.container.AbstractContainer

m_AdditionalNames, m_Help, m_Values

Constructor Summary

Constructors

Modifier	Constructor	Description
	WekaAttributeSelectionContainer()	Initializes the container.
	WekaAttributeSelectionContainer(weka.core.Instances train, weka.core.Instances reduced, weka.core.Instances transformed, weka.attributeSelection.AttributeSelection eval, adams.data.spreadsheet.SpreadSheet statistics, String range)	Initializes the container.
protected	WekaAttributeSelectionContainer(weka.core.Instances train, weka.core.Instances reduced, weka.core.Instances transformed, weka.attributeSelection.AttributeSelection eval, adams.data.spreadsheet.SpreadSheet statistics, String range, Long seed, Integer foldCount)	Initializes the container.
	WekaAttributeSelectionContainer(weka.core.Instances train, weka.core.Instances reduced, weka.core.Instances transformed, weka.attributeSelection.AttributeSelection eval, Long seed, Integer foldCount)	Initializes the container.

Method Summary

Modifier and Type	Method	Description
protected void	initHelp()	Initializes the help strings.
boolean	isValid()	Checks whether the setup of the container is valid.
Iterator<String>	names()	Returns all value names that can be used (theoretically).

Methods inherited from class adams.flow.container.AbstractContainer

addAdditionalName, addHelp, addHelp, addHelp, checkDefaultConstructor, getClone, getHelp, getValue, getValue, globalInfo, hasHelp, hasValue, isValidName, removeAdditionalName, setValue, store, stored, toSpreadSheet, toString

Methods inherited from class java.lang.Object

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

Field Detail

VALUE_TRAIN

public static final String VALUE_TRAIN

the identifier for the training data.

See Also:

Constant Field Values

VALUE_REDUCED

public static final String VALUE_REDUCED

the identifier for the reduced data.

See Also:

Constant Field Values

VALUE_TRANSFORMED

public static final String VALUE_TRANSFORMED

the identifier for the transformed data.

See Also:

Constant Field Values

VALUE_TEST

public static final String VALUE_TEST

the identifier for the test data.

See Also:

Constant Field Values

VALUE_TEST_REDUCED

public static final String VALUE_TEST_REDUCED

the identifier for the reduced data.

See Also:

Constant Field Values

VALUE_TEST_TRANSFORMED

public static final String VALUE_TEST_TRANSFORMED

the identifier for the transformed data.

See Also:

Constant Field Values

VALUE_EVALUATION

public static final String VALUE_EVALUATION

the identifier for the evaluation object.

See Also:

Constant Field Values

VALUE_STATISTICS

public static final String VALUE_STATISTICS

the identifier for the statistics object.

See Also:

Constant Field Values

VALUE_SELECTEDATTRIBUTES

public static final String VALUE_SELECTEDATTRIBUTES

the identifier for the Remove filter setup.

See Also:

Constant Field Values

VALUE_SEED

public static final String VALUE_SEED

the identifier for the random seed.

See Also:

Constant Field Values

VALUE_FOLD_COUNT

public static final String VALUE_FOLD_COUNT

the identifier for the fold count.

See Also:

Constant Field Values

Constructor Detail

WekaAttributeSelectionContainer

public WekaAttributeSelectionContainer()

Initializes the container.

Only used for generating help information.

WekaAttributeSelectionContainer

public WekaAttributeSelectionContainer(weka.core.Instances train,
                                       weka.core.Instances reduced,
                                       weka.core.Instances transformed,
                                       weka.attributeSelection.AttributeSelection eval,
                                       adams.data.spreadsheet.SpreadSheet statistics,
                                       String range)

Initializes the container.

Parameters:

train - the training set

reduced - the reduced data

transformed - the transformed data

eval - the attribute selection evaluation object

statistics - the spreadsheet with the statistics

range - the range string of selected attributes

WekaAttributeSelectionContainer

public WekaAttributeSelectionContainer(weka.core.Instances train,
                                       weka.core.Instances reduced,
                                       weka.core.Instances transformed,
                                       weka.attributeSelection.AttributeSelection eval,
                                       Long seed,
                                       Integer foldCount)

Initializes the container.

Parameters:

train - the training set

reduced - the reduced data

transformed - the transformed data

eval - the attribute selection evaluation object

seed - the seed value, can be null

foldCount - the fold count

WekaAttributeSelectionContainer

protected WekaAttributeSelectionContainer(weka.core.Instances train,
                                          weka.core.Instances reduced,
                                          weka.core.Instances transformed,
                                          weka.attributeSelection.AttributeSelection eval,
                                          adams.data.spreadsheet.SpreadSheet statistics,
                                          String range,
                                          Long seed,
                                          Integer foldCount)

Initializes the container.

Parameters:

train - the training set

reduced - the reduced data

transformed - the transformed data

eval - the attribute selection evaluation object

statistics - the spreadsheet with the statistics

range - the range string of selected attributes

seed - the seed value, can be null

foldCount - the fold count

Method Detail

initHelp

protected void initHelp()

Initializes the help strings.

Overrides:

initHelp in class adams.flow.container.AbstractContainer

names

public Iterator<String> names()

Returns all value names that can be used (theoretically).

Specified by:

names in interface adams.flow.container.Container

Specified by:

names in class adams.flow.container.AbstractContainer

Returns:

enumeration over all possible value names

isValid

public boolean isValid()

Checks whether the setup of the container is valid.

Specified by:

isValid in interface adams.flow.container.Container

Specified by:

isValid in class adams.flow.container.AbstractContainer

Returns:

true if all the necessary values are available