java.lang.Object
- adams.core.logging.LoggingObject
- - adams.gui.tools.wekainvestigator.output.AbstractResultItem
  - - adams.gui.tools.wekainvestigator.output.AbstractNestableResultItem
    - - adams.gui.tools.wekainvestigator.tab.classifytab.ResultItem

All Implemented Interfaces:

CleanUpHandler, LoggingSupporter, SizeOfHandler, Serializable
```
public class ResultItem
extends AbstractNestableResultItem
```
Container for an evaluation, model, training set header. Used in the result history.

Author:

FracPete (fracpete at waikato dot ac dot nz)

See Also:

Serialized Form

Field Summary

Fields
Modifier and Type	Field	Description
`protected SpreadSheet`	`m_AdditionalAttributes`	additional attributes.
`protected weka.classifiers.Evaluation`	`m_Evaluation`	the evaluation object.
`protected weka.classifiers.Evaluation[]`	`m_FoldEvaluations`	the evaluation objects from the folds.
`protected weka.classifiers.Classifier[]`	`m_FoldModels`	the fold models.
`protected int[][]`	`m_FoldOriginalIndices`	the original indices (folds).
`protected weka.classifiers.Classifier`	`m_Model`	the model.
`protected int[]`	`m_OriginalIndices`	the original indices.
`protected weka.classifiers.Evaluation[]`	`m_RunEvaluations`	the evaluation objects from the runs.
`protected MetaData`	`m_RunInformation`	the run information.
`protected weka.classifiers.Classifier[]`	`m_RunModels`	the run models.
`protected int[][]`	`m_RunOriginalIndices`	the original indices (runs).
`protected weka.classifiers.Classifier`	`m_Template`	the template.

Fields inherited from class adams.gui.tools.wekainvestigator.output.AbstractNestableResultItem
m_NameSuffix, m_NestedItems

Fields inherited from class adams.gui.tools.wekainvestigator.output.AbstractResultItem
m_Header, m_Log, m_LogPanel, m_Name, m_TabbedPane, m_Timestamp, MAX_RELATIONNAME_LENGTH

Fields inherited from class adams.core.logging.LoggingObject
m_Logger, m_LoggingIsEnabled, m_LoggingLevel

Constructor Summary

Constructors
Constructor Description

ResultItem(weka.classifiers.Classifier template, weka.core.Instances header)
Initializes the item.

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`protected String`	`createName()`	Creates the name from the members.
`SpreadSheet`	`getAdditionalAttributes()`	Returns the stored additional attributes data.
`weka.classifiers.Evaluation`	`getEvaluation()`	Returns the stored Evaluation object.
`weka.classifiers.Evaluation`	`getFoldEvaluation(int index)`	Returns the stored Evaluation objects per specified fold.
`weka.classifiers.Evaluation[]`	`getFoldEvaluations()`	Returns the stored Evaluation objects per fold.
`weka.classifiers.Classifier`	`getFoldModel(int index)`	Returns the stored Classifier object for the specified fold.
`weka.classifiers.Classifier[]`	`getFoldModels()`	Returns the stored Classifier objects per fold.
`int[][]`	`getFoldOriginalIndices()`	Returns the stored original indices per fold.
`int[]`	`getFoldOriginalIndices(int index)`	Returns the stored original indices for the specified fold.
`weka.classifiers.Classifier`	`getModel()`	Returns the stored model object.
`int[]`	`getOriginalIndices()`	Returns the stored original indices.
`weka.classifiers.Evaluation`	`getRunEvaluation(int index)`	Returns the stored Evaluation objects per specified run.
`weka.classifiers.Evaluation[]`	`getRunEvaluations()`	Returns the stored Evaluation objects per run.
`MetaData`	`getRunInformation()`	Returns the stored run information.
`weka.classifiers.Classifier[]`	`getRunModels()`	Returns the stored Classifier objects per run.
`int[][]`	`getRunOriginalIndices()`	Returns the stored original indices per run.
`int[]`	`getRunOriginalIndices(int index)`	Returns the stored original indices for the specified run.
`weka.classifiers.Classifier`	`getTemplate()`	Returns the stored template object.
`boolean`	`hasAdditionalAttributes()`	Returns whether additional attributes data is present.
`boolean`	`hasEvaluation()`	Returns whether an Evaluation object is present.
`boolean`	`hasFoldEvaluations()`	Returns whether Evaluation objects per fold are present.
`boolean`	`hasFoldModels()`	Returns whether Classifier objects per fold are present.
`boolean`	`hasFoldOriginalIndices()`	Returns whether the original indices per fold are present.
`boolean`	`hasModel()`	Returns whether an model object is present.
`boolean`	`hasOriginalIndices()`	Returns whether the original indices are present.
`boolean`	`hasRunEvaluations()`	Returns whether Evaluation objects per run are present.
`boolean`	`hasRunInformation()`	Returns whether run information is present.
`boolean`	`hasRunModels()`	Returns whether Classifier objects per run are present.
`boolean`	`hasRunOriginalIndices()`	Returns whether the original indices per run are present.
`void`	`setAdditionalAttributes(SpreadSheet value)`	Sets the additional attributes data.
`void`	`setModel(weka.classifiers.Classifier value)`	Sets the model to make available.
`void`	`setTemplate(weka.classifiers.Classifier value)`	Sets the stored template object.
`String`	`toString()`	Returns a short description of the container.
`ResultItem`	`update(int[] original)`	Updates the item.
`ResultItem`	`update(MetaData runInfo)`	Updates the item.
`ResultItem`	`update(SpreadSheet additional)`	Updates the item.
`ResultItem`	`update(weka.classifiers.Classifier model)`	Updates the item.
`ResultItem`	`update(weka.classifiers.Evaluation evaluation)`	Updates the item.
`ResultItem`	`updateFolds(int[][] foldOriginal)`	Updates the item.
`ResultItem`	`updateFolds(weka.classifiers.Classifier[] foldModels)`	Updates the item.
`ResultItem`	`updateFolds(weka.classifiers.Evaluation[] foldEvaluations)`	Updates the item.
`ResultItem`	`updateRuns(int[][] runOriginal)`	Updates the item.
`ResultItem`	`updateRuns(weka.classifiers.Classifier[] runModels)`	Updates the item.
`ResultItem`	`updateRuns(weka.classifiers.Evaluation[] runEvaluations)`	Updates the item.

Methods inherited from class adams.gui.tools.wekainvestigator.output.AbstractNestableResultItem
addNestedItem, cleanUp, getNameSuffix, getNestedItem, hasNestedItems, nestedItemNames, setNameSuffix

Methods inherited from class adams.gui.tools.wekainvestigator.output.AbstractResultItem
getHeader, getLogPanel, getName, getTabbedPane, hasHeader, invalidateName, logError, logMessage

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

- Field Detail
  - m_Evaluation
```
protected weka.classifiers.Evaluation m_Evaluation
```
    the evaluation object.
  - m_FoldEvaluations
```
protected weka.classifiers.Evaluation[] m_FoldEvaluations
```
    the evaluation objects from the folds.
  - m_RunEvaluations
```
protected weka.classifiers.Evaluation[] m_RunEvaluations
```
    the evaluation objects from the runs.
  - m_Template
```
protected weka.classifiers.Classifier m_Template
```
    the template.
  - m_Model
```
protected weka.classifiers.Classifier m_Model
```
    the model.
  - m_FoldModels
```
protected weka.classifiers.Classifier[] m_FoldModels
```
    the fold models.
  - m_RunModels
```
protected weka.classifiers.Classifier[] m_RunModels
```
    the run models.
  - m_RunInformation
```
protected MetaData m_RunInformation
```
    the run information.
  - m_OriginalIndices
```
protected int[] m_OriginalIndices
```
    the original indices.
  - m_FoldOriginalIndices
```
protected int[][] m_FoldOriginalIndices
```
    the original indices (folds).
  - m_RunOriginalIndices
```
protected int[][] m_RunOriginalIndices
```
    the original indices (runs).
  - m_AdditionalAttributes
```
protected SpreadSheet m_AdditionalAttributes
```
    additional attributes.
- Constructor Detail
  - ResultItem
```
public ResultItem(weka.classifiers.Classifier template,
                  weka.core.Instances header)
```
    Initializes the item.
    
    Parameters:
    
    template - the template
    
    header - the header of the training set, can be null
- Method Detail
  - createName
```
protected String createName()
```
    Creates the name from the members.
    
    Specified by:
    
    createName in class AbstractResultItem
    
    Returns:
    
    the name
  - update
```
public ResultItem update(MetaData runInfo)
```
    Updates the item.
    
    Parameters:
    
    runInfo - the meta-data for the run
    
    Returns:
    
    itself
  - update
```
public ResultItem update(weka.classifiers.Evaluation evaluation)
```
    Updates the item.
    
    Parameters:
    
    evaluation - the evaluation
    
    Returns:
    
    itself
  - update
```
public ResultItem update(weka.classifiers.Classifier model)
```
    Updates the item.
    
    Parameters:
    
    model - the model
    
    Returns:
    
    itself
  - update
```
public ResultItem update(int[] original)
```
    Updates the item.
    
    Parameters:
    
    original - the original indices
    
    Returns:
    
    itself
  - update
```
public ResultItem update(SpreadSheet additional)
```
    Updates the item.
    
    Parameters:
    
    additional - the additional attributes
    
    Returns:
    
    itself
  - updateFolds
```
public ResultItem updateFolds(weka.classifiers.Evaluation[] foldEvaluations)
```
    Updates the item.
    
    Parameters:
    
    foldEvaluations - the evaluations per fold
    
    Returns:
    
    itself
  - updateFolds
```
public ResultItem updateFolds(weka.classifiers.Classifier[] foldModels)
```
    Updates the item.
    
    Parameters:
    
    foldModels - the models per fold
    
    Returns:
    
    itself
  - updateFolds
```
public ResultItem updateFolds(int[][] foldOriginal)
```
    Updates the item.
    
    Parameters:
    
    foldOriginal - the original indices per fold
    
    Returns:
    
    itself
  - updateRuns
```
public ResultItem updateRuns(weka.classifiers.Evaluation[] runEvaluations)
```
    Updates the item.
    
    Parameters:
    
    runEvaluations - the evaluations per run
    
    Returns:
    
    itself
  - updateRuns
```
public ResultItem updateRuns(weka.classifiers.Classifier[] runModels)
```
    Updates the item.
    
    Parameters:
    
    runModels - the models per run
    
    Returns:
    
    itself
  - updateRuns
```
public ResultItem updateRuns(int[][] runOriginal)
```
    Updates the item.
    
    Parameters:
    
    runOriginal - the original indices per run
    
    Returns:
    
    itself
  - hasEvaluation
```
public boolean hasEvaluation()
```
    Returns whether an Evaluation object is present.
    
    Returns:
    
    true if available
  - getEvaluation
```
public weka.classifiers.Evaluation getEvaluation()
```
    Returns the stored Evaluation object.
    
    Returns:
    
    the evaluation, null if not present
  - hasFoldEvaluations
```
public boolean hasFoldEvaluations()
```
    Returns whether Evaluation objects per fold are present.
    
    Returns:
    
    true if available
  - getFoldEvaluations
```
public weka.classifiers.Evaluation[] getFoldEvaluations()
```
    Returns the stored Evaluation objects per fold.
    
    Returns:
    
    the evaluations per fold, null if not present
  - getFoldEvaluation
```
public weka.classifiers.Evaluation getFoldEvaluation(int index)
```
    Returns the stored Evaluation objects per specified fold.
    
    Parameters:
    
    index - the index of the fold to return
    
    Returns:
    
    the evaluation for the fold, null if not present
  - hasRunEvaluations
```
public boolean hasRunEvaluations()
```
    Returns whether Evaluation objects per run are present.
    
    Returns:
    
    true if available
  - getRunEvaluations
```
public weka.classifiers.Evaluation[] getRunEvaluations()
```
    Returns the stored Evaluation objects per run.
    
    Returns:
    
    the evaluations per run, null if not present
  - getRunEvaluation
```
public weka.classifiers.Evaluation getRunEvaluation(int index)
```
    Returns the stored Evaluation objects per specified run.
    
    Parameters:
    
    index - the index of the run to return
    
    Returns:
    
    the evaluation for the run, null if not present
  - setTemplate
```
public void setTemplate(weka.classifiers.Classifier value)
```
    Sets the stored template object.
    
    Parameters:
    
    value - the template
  - getTemplate
```
public weka.classifiers.Classifier getTemplate()
```
    Returns the stored template object.
    
    Returns:
    
    the template
  - hasModel
```
public boolean hasModel()
```
    Returns whether an model object is present.
    
    Returns:
    
    true if available
  - setModel
```
public void setModel(weka.classifiers.Classifier value)
```
    Sets the model to make available.
    
    Parameters:
    
    value - the model
  - getModel
```
public weka.classifiers.Classifier getModel()
```
    Returns the stored model object.
    
    Returns:
    
    the model, null if not present
  - hasFoldModels
```
public boolean hasFoldModels()
```
    Returns whether Classifier objects per fold are present.
    
    Returns:
    
    true if available
  - getFoldModels
```
public weka.classifiers.Classifier[] getFoldModels()
```
    Returns the stored Classifier objects per fold.
    
    Returns:
    
    the classifiers per fold, null if not present
  - getFoldModel
```
public weka.classifiers.Classifier getFoldModel(int index)
```
    Returns the stored Classifier object for the specified fold.
    
    Parameters:
    
    index - the index of the fold
    
    Returns:
    
    the classifier for the fold, null if not present
  - hasRunModels
```
public boolean hasRunModels()
```
    Returns whether Classifier objects per run are present.
    
    Returns:
    
    true if available
  - getRunModels
```
public weka.classifiers.Classifier[] getRunModels()
```
    Returns the stored Classifier objects per run.
    
    Returns:
    
    the classifiers per run, null if not present
  - hasRunInformation
```
public boolean hasRunInformation()
```
    Returns whether run information is present.
    
    Returns:
    
    true if available
  - getRunInformation
```
public MetaData getRunInformation()
```
    Returns the stored run information.
    
    Returns:
    
    the information, null if not present
  - hasOriginalIndices
```
public boolean hasOriginalIndices()
```
    Returns whether the original indices are present.
    
    Returns:
    
    true if available
  - getOriginalIndices
```
public int[] getOriginalIndices()
```
    Returns the stored original indices.
    
    Returns:
    
    the indices, null if not present
  - hasFoldOriginalIndices
```
public boolean hasFoldOriginalIndices()
```
    Returns whether the original indices per fold are present.
    
    Returns:
    
    true if available
  - getFoldOriginalIndices
```
public int[][] getFoldOriginalIndices()
```
    Returns the stored original indices per fold.
    
    Returns:
    
    the indices, null if not present
  - getFoldOriginalIndices
```
public int[] getFoldOriginalIndices(int index)
```
    Returns the stored original indices for the specified fold.
    
    Parameters:
    
    index - the index of the fold to return
    
    Returns:
    
    the indices for the fold, null if not present
  - hasRunOriginalIndices
```
public boolean hasRunOriginalIndices()
```
    Returns whether the original indices per run are present.
    
    Returns:
    
    true if available
  - getRunOriginalIndices
```
public int[][] getRunOriginalIndices()
```
    Returns the stored original indices per run.
    
    Returns:
    
    the indices, null if not present
  - getRunOriginalIndices
```
public int[] getRunOriginalIndices(int index)
```
    Returns the stored original indices for the specified run.
    
    Parameters:
    
    index - the index of the run to return
    
    Returns:
    
    the indices for the run, null if not present
  - hasAdditionalAttributes
```
public boolean hasAdditionalAttributes()
```
    Returns whether additional attributes data is present.
    
    Returns:
    
    true if available
  - setAdditionalAttributes
```
public void setAdditionalAttributes(SpreadSheet value)
```
    Sets the additional attributes data.
    
    Parameters:
    
    value - the data, null if not present
  - getAdditionalAttributes
```
public SpreadSheet getAdditionalAttributes()
```
    Returns the stored additional attributes data.
    
    Returns:
    
    the data, null if not present
  - toString
```
public String toString()
```
    Returns a short description of the container.
    
    Specified by:
    
    toString in class AbstractResultItem
    
    Returns:
    
    the description

Class ResultItem

Field Summary

Fields inherited from class adams.gui.tools.wekainvestigator.output.AbstractNestableResultItem

Fields inherited from class adams.gui.tools.wekainvestigator.output.AbstractResultItem

Fields inherited from class adams.core.logging.LoggingObject

Constructor Summary

Method Summary

Methods inherited from class adams.gui.tools.wekainvestigator.output.AbstractNestableResultItem

Methods inherited from class adams.gui.tools.wekainvestigator.output.AbstractResultItem

Methods inherited from class adams.core.logging.LoggingObject

Methods inherited from class java.lang.Object

Field Detail

m_Evaluation

m_FoldEvaluations

m_RunEvaluations

m_Template

m_Model

m_FoldModels

m_RunModels

m_RunInformation

m_OriginalIndices

m_FoldOriginalIndices

m_RunOriginalIndices

m_AdditionalAttributes

Constructor Detail

ResultItem

Method Detail

createName

update

update

update

update

update

updateFolds

updateFolds

updateFolds

updateRuns

updateRuns

updateRuns

hasEvaluation

getEvaluation

hasFoldEvaluations

getFoldEvaluations

getFoldEvaluation

hasRunEvaluations

getRunEvaluations

getRunEvaluation

setTemplate

getTemplate

hasModel

setModel

getModel

hasFoldModels

getFoldModels

getFoldModel

hasRunModels

getRunModels

hasRunInformation

getRunInformation

hasOriginalIndices

getOriginalIndices

hasFoldOriginalIndices

getFoldOriginalIndices

getFoldOriginalIndices

hasRunOriginalIndices

getRunOriginalIndices

getRunOriginalIndices

hasAdditionalAttributes

setAdditionalAttributes

getAdditionalAttributes

toString