java.lang.Object
- adams.core.logging.LoggingObject
- - adams.core.logging.CustomLoggingLevelObject
  - - adams.core.option.AbstractOptionHandler
    - - adams.data.conversion.AbstractConversion
      - adams.data.conversion.WekaPredictionContainerToSpreadSheet

All Implemented Interfaces:: adams.core.AdditionalInformationHandler, adams.core.CleanUpHandler, adams.core.Destroyable, adams.core.GlobalInfoSupporter, adams.core.logging.LoggingLevelHandler, adams.core.logging.LoggingSupporter, adams.core.option.OptionHandler, adams.core.QuickInfoSupporter, adams.core.ShallowCopySupporter<adams.data.conversion.AbstractConversion>, adams.core.SizeOfHandler, adams.core.Stoppable, adams.data.conversion.Conversion, Serializable

public class WekaPredictionContainerToSpreadSheet
extends adams.data.conversion.AbstractConversion

Turns a WEKA prediction container into a SpreadSheet object.

Valid options are:

-D <int> (property: debugLevel)
    The greater the number the more additional info the scheme may output to
    the console (0 = off).
    default: 0
    minimum: 0

-title-name-column <java.lang.String> (property: titleNameColumn)
    The title of the first column.
    default: Name

-title-value-column <java.lang.String> (property: titleValueColumn)
    The title of the second column.
    default: Value

-add-classification (property: addClassification)
    If enabled, then the numeric classification (index of class label for nominal
    classes) is added to the spreadsheet.

-classification-entry <java.lang.String> (property: classificationEntry)
    The value to use in the 'Name' column for the numeric classification.
    default: Classification

-add-classification-label (property: addClassificationLabel)
    If enabled, then the classification label (only for nominal classes) is
    added to the spreadsheet.

-classification-label-entry <java.lang.String> (property: classificationLabelEntry)
    The value to use in the 'Name' column for the classification label.
    default: Class

-add-distribution (property: addDistribution)
    If enabled, then the class distribution (only for nominal classes) is added
    to the spreadsheet.

-distribution-format <java.lang.String> (property: distributionFormat)
    The format to use in the 'Name' column for the class distribution; '{INDEX
    }' can be used for the 1-based index, '{LABEL}' can be used for the class
    label (if available; if not, the 1-based index is used instead)
    default: {LABEL}

-distribution-sorting <NONE|DESCENDING|ASCENDING> (property: distributionSorting)
    The type of sorting to apply to the distribution array.
    default: NONE

Version:: $Revision$
Author:: fracpete (fracpete at waikato dot ac dot nz)
See Also:: Serialized Form

Nested Class Summary

Nested Classes
Modifier and Type	Class	Description
`static class`	`WekaPredictionContainerToSpreadSheet.SortContainer`	Helper class for sorting the distribution.
`static class`	`WekaPredictionContainerToSpreadSheet.Sorting`	How to sort the distribution.

Field Summary

Fields
Modifier and Type	Field	Description
`static String`	`COLUMN_NAME`	the name column in the spreadsheet.
`static String`	`COLUMN_VALUE`	the value column in the spreadsheet.
`protected boolean`	`m_AddClassification`	whether to add the numeric classification to the output.
`protected boolean`	`m_AddClassificationLabel`	whether to add the classification label to the output (nominal classes only).
`protected boolean`	`m_AddDistribution`	whether to add the distribution to the output (nominal classes only).
`protected String`	`m_ClassificationEntry`	the entry to use for the numeric classification in the spreadsheet.
`protected String`	`m_ClassificationLabelEntry`	the entry to use for the classification label in the spreadsheet.
`protected String`	`m_DistributionFormat`	the format to use for the distribution entries in the spreadsheet.
`protected WekaPredictionContainerToSpreadSheet.Sorting`	`m_DistributionSorting`	the type of sorting to apply to the distribution array (if applicable).
`protected String`	`m_TitleNameColumn`	the title of the name column.
`protected String`	`m_TitleValueColumn`	the title of the value column.
`static String`	`PLACEHOLDER_INDEX`	the placeholder for the class index in the distribution format.
`static String`	`PLACEHOLDER_LABEL`	the placeholder for the class label in the distribution format.

Fields inherited from class adams.data.conversion.AbstractConversion
m_Input, m_Output, m_Owner, m_Stopped

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

WekaPredictionContainerToSpreadSheet()

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`Class`	`accepts()`	Returns the class that is accepted as input.
`String`	`addClassificationLabelTipText()`	Returns the tip text for this property.
`String`	`addClassificationTipText()`	Returns the tip text for this property.
`String`	`addDistributionTipText()`	Returns the tip text for this property.
`String`	`classificationEntryTipText()`	Returns the tip text for this property.
`String`	`classificationLabelEntryTipText()`	Returns the tip text for this property.
`void`	`defineOptions()`	Adds options to the internal list of options.
`String`	`distributionFormatTipText()`	Returns the tip text for this property.
`String`	`distributionSortingTipText()`	Returns the tip text for this property.
`protected Object`	`doConvert()`	Performs the actual conversion.
`Class`	`generates()`	Returns the class that is generated as output.
`boolean`	`getAddClassification()`	Returns whether to add the numeric classification (label index for nominal classes).
`boolean`	`getAddClassificationLabel()`	Returns whether to add the classification label (only for nominal classes).
`boolean`	`getAddDistribution()`	Returns whether to add the class distribution (only for nominal classes).
`String`	`getClassificationEntry()`	Returns the value for the 'Name' column for the numeric classification.
`String`	`getClassificationLabelEntry()`	Returns the value for the 'Name' column for the classification label.
`String`	`getDistributionFormat()`	Returns the format for the 'Name' column for the numeric classification.
`WekaPredictionContainerToSpreadSheet.Sorting`	`getDistributionSorting()`	Returns the format for the 'Name' column for the numeric classification.
`String`	`getTitleNameColumn()`	Returns the title of the "Name" column, i.e., the first column.
`String`	`getTitleValueColumn()`	Returns the title of the "Value" column, i.e., the first column.
`String`	`globalInfo()`	Returns a string describing the object.
`void`	`setAddClassification(boolean value)`	Sets whether to add the numeric classification (label index for nominal classes).
`void`	`setAddClassificationLabel(boolean value)`	Sets whether to add the classification label (only for nominal classes).
`void`	`setAddDistribution(boolean value)`	Sets whether to add the class distribution (only for nominal classes).
`void`	`setClassificationEntry(String value)`	Sets the value for the 'Name' column for the numeric classification.
`void`	`setClassificationLabelEntry(String value)`	Sets the value for the 'Name' column for the classification label.
`void`	`setDistributionFormat(String value)`	Sets the format for the 'Name' column for the class distribution.
`void`	`setDistributionSorting(WekaPredictionContainerToSpreadSheet.Sorting value)`	Sets the sorting for the distribution array.
`void`	`setTitleNameColumn(String value)`	Sets the title of the "Name" column, i.e., the first column.
`void`	`setTitleValueColumn(String value)`	Sets the title of the "Value" column, i.e., the first column.
`String`	`titleNameColumnTipText()`	Returns the tip text for this property.
`String`	`titleValueColumnTipText()`	Returns the tip text for this property.

Methods inherited from class adams.data.conversion.AbstractConversion
checkData, cleanUp, convert, getAdditionalInformation, getInput, getInput, getOutput, getOutput, getOwner, getQuickInfo, reset, setInput, setOwner, shallowCopy, shallowCopy, stopExecution

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

- Field Detail
  - PLACEHOLDER_LABEL
```
public static final String PLACEHOLDER_LABEL
```
    the placeholder for the class label in the distribution format.
    
    See Also:
    
    Constant Field Values
  - PLACEHOLDER_INDEX
```
public static final String PLACEHOLDER_INDEX
```
    the placeholder for the class index in the distribution format.
    
    See Also:
    
    Constant Field Values
  - COLUMN_NAME
```
public static final String COLUMN_NAME
```
    the name column in the spreadsheet.
    
    See Also:
    
    Constant Field Values
  - COLUMN_VALUE
```
public static final String COLUMN_VALUE
```
    the value column in the spreadsheet.
    
    See Also:
    
    Constant Field Values
  - m_TitleNameColumn
```
protected String m_TitleNameColumn
```
    the title of the name column.
  - m_TitleValueColumn
```
protected String m_TitleValueColumn
```
    the title of the value column.
  - m_AddClassification
```
protected boolean m_AddClassification
```
    whether to add the numeric classification to the output.
  - m_ClassificationEntry
```
protected String m_ClassificationEntry
```
    the entry to use for the numeric classification in the spreadsheet.
  - m_AddClassificationLabel
```
protected boolean m_AddClassificationLabel
```
    whether to add the classification label to the output (nominal classes only).
  - m_ClassificationLabelEntry
```
protected String m_ClassificationLabelEntry
```
    the entry to use for the classification label in the spreadsheet.
  - m_AddDistribution
```
protected boolean m_AddDistribution
```
    whether to add the distribution to the output (nominal classes only).
  - m_DistributionFormat
```
protected String m_DistributionFormat
```
    the format to use for the distribution entries in the spreadsheet.
  - m_DistributionSorting
```
protected WekaPredictionContainerToSpreadSheet.Sorting m_DistributionSorting
```
    the type of sorting to apply to the distribution array (if applicable).
- Constructor Detail
  - WekaPredictionContainerToSpreadSheet
```
public WekaPredictionContainerToSpreadSheet()
```
- Method Detail
  - globalInfo
```
public String globalInfo()
```
    Returns a string describing the object.
    
    Specified by:
    
    globalInfo in interface adams.core.GlobalInfoSupporter
    
    Specified by:
    
    globalInfo in class adams.core.option.AbstractOptionHandler
    
    Returns:
    
    a description suitable for displaying in the gui
  - defineOptions
```
public void defineOptions()
```
    Adds options to the internal list of options.
    
    Specified by:
    
    defineOptions in interface adams.core.option.OptionHandler
    
    Overrides:
    
    defineOptions in class adams.core.option.AbstractOptionHandler
  - setTitleNameColumn
```
public void setTitleNameColumn(String value)
```
    Sets the title of the "Name" column, i.e., the first column.
    
    Parameters:
    
    value - the title
  - getTitleNameColumn
```
public String getTitleNameColumn()
```
    Returns the title of the "Name" column, i.e., the first column.
    
    Returns:
    
    the title
  - titleNameColumnTipText
```
public String titleNameColumnTipText()
```
    Returns the tip text for this property.
    
    Returns:
    
    tip text for this property suitable for displaying in the GUI or for listing the options.
  - setTitleValueColumn
```
public void setTitleValueColumn(String value)
```
    Sets the title of the "Value" column, i.e., the first column.
    
    Parameters:
    
    value - the title
  - getTitleValueColumn
```
public String getTitleValueColumn()
```
    Returns the title of the "Value" column, i.e., the first column.
    
    Returns:
    
    the title
  - titleValueColumnTipText
```
public String titleValueColumnTipText()
```
    Returns the tip text for this property.
    
    Returns:
    
    tip text for this property suitable for displaying in the GUI or for listing the options.
  - setAddClassification
```
public void setAddClassification(boolean value)
```
    Sets whether to add the numeric classification (label index for nominal classes).
    
    Parameters:
    
    value - true if to add numeric classification
  - getAddClassification
```
public boolean getAddClassification()
```
    Returns whether to add the numeric classification (label index for nominal classes).
    
    Returns:
    
    true if numeric classification is added
  - addClassificationTipText
```
public String addClassificationTipText()
```
    Returns the tip text for this property.
    
    Returns:
    
    tip text for this property suitable for displaying in the GUI or for listing the options.
  - setClassificationEntry
```
public void setClassificationEntry(String value)
```
    Sets the value for the 'Name' column for the numeric classification.
    
    Parameters:
    
    value - the name
  - getClassificationEntry
```
public String getClassificationEntry()
```
    Returns the value for the 'Name' column for the numeric classification.
    
    Returns:
    
    the name
  - classificationEntryTipText
```
public String classificationEntryTipText()
```
    Returns the tip text for this property.
    
    Returns:
    
    tip text for this property suitable for displaying in the GUI or for listing the options.
  - setAddClassificationLabel
```
public void setAddClassificationLabel(boolean value)
```
    Sets whether to add the classification label (only for nominal classes).
    
    Parameters:
    
    value - true if to add classification label
  - getAddClassificationLabel
```
public boolean getAddClassificationLabel()
```
    Returns whether to add the classification label (only for nominal classes).
    
    Returns:
    
    true if classification label is added
  - addClassificationLabelTipText
```
public String addClassificationLabelTipText()
```
    Returns the tip text for this property.
    
    Returns:
    
    tip text for this property suitable for displaying in the GUI or for listing the options.
  - setClassificationLabelEntry
```
public void setClassificationLabelEntry(String value)
```
    Sets the value for the 'Name' column for the classification label.
    
    Parameters:
    
    value - the name
  - getClassificationLabelEntry
```
public String getClassificationLabelEntry()
```
    Returns the value for the 'Name' column for the classification label.
    
    Returns:
    
    the name
  - classificationLabelEntryTipText
```
public String classificationLabelEntryTipText()
```
    Returns the tip text for this property.
    
    Returns:
    
    tip text for this property suitable for displaying in the GUI or for listing the options.
  - setAddDistribution
```
public void setAddDistribution(boolean value)
```
    Sets whether to add the class distribution (only for nominal classes).
    
    Parameters:
    
    value - true if to add class distribution
  - getAddDistribution
```
public boolean getAddDistribution()
```
    Returns whether to add the class distribution (only for nominal classes).
    
    Returns:
    
    true if class distribution is added
  - addDistributionTipText
```
public String addDistributionTipText()
```
    Returns the tip text for this property.
    
    Returns:
    
    tip text for this property suitable for displaying in the GUI or for listing the options.
  - setDistributionFormat
```
public void setDistributionFormat(String value)
```
    Sets the format for the 'Name' column for the class distribution.
    
    Parameters:
    
    value - the format
    
    See Also:
    
    PLACEHOLDER_INDEX, PLACEHOLDER_LABEL
  - getDistributionFormat
```
public String getDistributionFormat()
```
    Returns the format for the 'Name' column for the numeric classification.
    
    Returns:
    
    the format
    
    See Also:
    
    PLACEHOLDER_INDEX, PLACEHOLDER_LABEL
  - distributionFormatTipText
```
public String distributionFormatTipText()
```
    Returns the tip text for this property.
    
    Returns:
    
    tip text for this property suitable for displaying in the GUI or for listing the options.
  - setDistributionSorting
```
public void setDistributionSorting(WekaPredictionContainerToSpreadSheet.Sorting value)
```
    Sets the sorting for the distribution array.
    
    Parameters:
    
    value - the sorting
  - getDistributionSorting
```
public WekaPredictionContainerToSpreadSheet.Sorting getDistributionSorting()
```
    Returns the format for the 'Name' column for the numeric classification.
    
    Returns:
    
    the format
    
    See Also:
    
    PLACEHOLDER_INDEX, PLACEHOLDER_LABEL
  - distributionSortingTipText
```
public String distributionSortingTipText()
```
    Returns the tip text for this property.
    
    Returns:
    
    tip text for this property suitable for displaying in the GUI or for listing the options.
  - accepts
```
public Class accepts()
```
    Returns the class that is accepted as input.
    
    Specified by:
    
    accepts in interface adams.data.conversion.Conversion
    
    Specified by:
    
    accepts in class adams.data.conversion.AbstractConversion
    
    Returns:
    
    the class
  - generates
```
public Class generates()
```
    Returns the class that is generated as output.
    
    Specified by:
    
    generates in interface adams.data.conversion.Conversion
    
    Specified by:
    
    generates in class adams.data.conversion.AbstractConversion
    
    Returns:
    
    the class
  - doConvert
```
protected Object doConvert()
                    throws Exception
```
    Performs the actual conversion.
    
    Specified by:
    
    doConvert in class adams.data.conversion.AbstractConversion
    
    Returns:
    
    the converted data
    
    Throws:
    
    Exception - if something goes wrong with the conversion

Class WekaPredictionContainerToSpreadSheet

Nested Class Summary

Field Summary

Fields inherited from class adams.data.conversion.AbstractConversion

Fields inherited from class adams.core.option.AbstractOptionHandler

Fields inherited from class adams.core.logging.LoggingObject

Constructor Summary

Method Summary

Methods inherited from class adams.data.conversion.AbstractConversion

Methods inherited from class adams.core.option.AbstractOptionHandler

Methods inherited from class adams.core.logging.LoggingObject

Methods inherited from class java.lang.Object

Methods inherited from interface adams.core.logging.LoggingLevelHandler

Field Detail

PLACEHOLDER_LABEL

PLACEHOLDER_INDEX

COLUMN_NAME

COLUMN_VALUE

m_TitleNameColumn

m_TitleValueColumn

m_AddClassification

m_ClassificationEntry

m_AddClassificationLabel

m_ClassificationLabelEntry

m_AddDistribution

m_DistributionFormat

m_DistributionSorting

Constructor Detail

WekaPredictionContainerToSpreadSheet

Method Detail

globalInfo

defineOptions

setTitleNameColumn

getTitleNameColumn

titleNameColumnTipText

setTitleValueColumn

getTitleValueColumn

titleValueColumnTipText

setAddClassification

getAddClassification

addClassificationTipText

setClassificationEntry

getClassificationEntry

classificationEntryTipText

setAddClassificationLabel

getAddClassificationLabel

addClassificationLabelTipText

setClassificationLabelEntry

getClassificationLabelEntry

classificationLabelEntryTipText

setAddDistribution

getAddDistribution

addDistributionTipText

setDistributionFormat

getDistributionFormat

distributionFormatTipText

setDistributionSorting

getDistributionSorting

distributionSortingTipText

accepts

generates

doConvert