Class Predictions
- java.lang.Object
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- adams.core.logging.LoggingObject
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- adams.core.logging.CustomLoggingLevelObject
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- adams.core.option.AbstractOptionHandler
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- adams.gui.tools.wekainvestigator.output.AbstractOutputGenerator<ResultItem>
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- adams.gui.tools.wekainvestigator.tab.classifytab.output.AbstractOutputGenerator
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- adams.gui.tools.wekainvestigator.tab.classifytab.output.Predictions
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- All Implemented Interfaces:
adams.core.Destroyable
,adams.core.GlobalInfoSupporter
,adams.core.logging.LoggingLevelHandler
,adams.core.logging.LoggingSupporter
,adams.core.option.OptionHandler
,adams.core.SizeOfHandler
,Serializable
public class Predictions extends AbstractOutputGenerator
Displays the predictions.- Author:
- FracPete (fracpete at waikato dot ac dot nz)
- See Also:
- Serialized Form
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Field Summary
Fields Modifier and Type Field Description protected boolean
m_AddLabelIndex
whether to prefix the labels with a 1-based index (only nominal classes).protected boolean
m_ShowDistribution
whether to output the class distribution (only nominal classes).protected boolean
m_ShowError
whether to add an error colunm.protected boolean
m_ShowProbability
whether to output the probability of the prediction (only nominal classes).protected boolean
m_ShowWeight
whether to output the weight as well.
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Constructor Summary
Constructors Constructor Description Predictions()
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description String
addLabelIndexTipText()
Returns the tip text for this property.boolean
canGenerateOutput(ResultItem item)
Checks whether output can be generated from this item.JComponent
createOutput(ResultItem item, adams.core.MessageCollection errors)
Generates output from the item.protected TableContentPanel
createOutput(weka.classifiers.Evaluation eval, int[] originalIndices, adams.data.spreadsheet.SpreadSheet additionalAttributes, adams.core.MessageCollection errors)
Generates the output from the evaluation.void
defineOptions()
Adds options to the internal list of options.boolean
getAddLabelIndex()
Returns whether to show the error as well.boolean
getShowDistribution()
Returns whether to show the class distribution as well.boolean
getShowError()
Returns whether to show the error as well.boolean
getShowProbability()
Returns whether to show the probability as well.boolean
getShowWeight()
Returns whether to show the weight as well.String
getTitle()
The title to use for the tab.String
globalInfo()
Returns a string describing the object.void
setAddLabelIndex(boolean value)
Sets whether to prefix the labels with the index.void
setShowDistribution(boolean value)
Sets whether to show the class distribution as well.void
setShowError(boolean value)
Sets whether to show the error as well.void
setShowProbability(boolean value)
Sets whether to show the probability of the prediction as well.void
setShowWeight(boolean value)
Sets whether to show the weight as well.String
showDistributionTipText()
Returns the tip text for this property.String
showErrorTipText()
Returns the tip text for this property.String
showProbabilityTipText()
Returns the tip text for this property.String
showWeightTipText()
Returns the tip text for this property.-
Methods inherited from class adams.gui.tools.wekainvestigator.tab.classifytab.output.AbstractOutputGenerator
addPage, newMultiPagePane
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Methods inherited from class adams.gui.tools.wekainvestigator.output.AbstractOutputGenerator
addTab, generateOutput
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Methods inherited from class adams.core.option.AbstractOptionHandler
cleanUpOptions, destroy, finishInit, getDefaultLoggingLevel, getOptionManager, initialize, loggingLevelTipText, newOptionManager, reset, setLoggingLevel, toCommandLine, toString
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Methods inherited from class adams.core.logging.LoggingObject
configureLogger, getLogger, getLoggingLevel, initializeLogging, isLoggingEnabled, sizeOf
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Field Detail
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m_AddLabelIndex
protected boolean m_AddLabelIndex
whether to prefix the labels with a 1-based index (only nominal classes).
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m_ShowError
protected boolean m_ShowError
whether to add an error colunm.
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m_ShowProbability
protected boolean m_ShowProbability
whether to output the probability of the prediction (only nominal classes).
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m_ShowDistribution
protected boolean m_ShowDistribution
whether to output the class distribution (only nominal classes).
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m_ShowWeight
protected boolean m_ShowWeight
whether to output the weight as well.
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Method Detail
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globalInfo
public String globalInfo()
Returns a string describing the object.- Specified by:
globalInfo
in interfaceadams.core.GlobalInfoSupporter
- Specified by:
globalInfo
in classadams.core.option.AbstractOptionHandler
- Returns:
- a description suitable for displaying in the gui
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defineOptions
public void defineOptions()
Adds options to the internal list of options.- Specified by:
defineOptions
in interfaceadams.core.option.OptionHandler
- Overrides:
defineOptions
in classadams.core.option.AbstractOptionHandler
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setAddLabelIndex
public void setAddLabelIndex(boolean value)
Sets whether to prefix the labels with the index.- Parameters:
value
- true if the label is prefixed with the index
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getAddLabelIndex
public boolean getAddLabelIndex()
Returns whether to show the error as well.- Returns:
- true if the label is prefixed with the index
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addLabelIndexTipText
public String addLabelIndexTipText()
Returns the tip text for this property.- Returns:
- tip text for this property suitable for displaying in the GUI or for listing the options.
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setShowError
public void setShowError(boolean value)
Sets whether to show the error as well.- Parameters:
value
- true if the error is to be displayed as well
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getShowError
public boolean getShowError()
Returns whether to show the error as well.- Returns:
- true if the error is displayed as well
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showErrorTipText
public String showErrorTipText()
Returns the tip text for this property.- Returns:
- tip text for this property suitable for displaying in the GUI or for listing the options.
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setShowProbability
public void setShowProbability(boolean value)
Sets whether to show the probability of the prediction as well.- Parameters:
value
- true if the probability is to be displayed as well
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getShowProbability
public boolean getShowProbability()
Returns whether to show the probability as well.- Returns:
- true if the probability is displayed as well
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showProbabilityTipText
public String showProbabilityTipText()
Returns the tip text for this property.- Returns:
- tip text for this property suitable for displaying in the GUI or for listing the options.
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setShowDistribution
public void setShowDistribution(boolean value)
Sets whether to show the class distribution as well.- Parameters:
value
- true if the class distribution is to be displayed as well
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getShowDistribution
public boolean getShowDistribution()
Returns whether to show the class distribution as well.- Returns:
- true if the class distribution is displayed as well
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showDistributionTipText
public String showDistributionTipText()
Returns the tip text for this property.- Returns:
- tip text for this property suitable for displaying in the GUI or for listing the options.
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setShowWeight
public void setShowWeight(boolean value)
Sets whether to show the weight as well.- Parameters:
value
- true if the weight is to be displayed as well
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getShowWeight
public boolean getShowWeight()
Returns whether to show the weight as well.- Returns:
- true if the weight is displayed as well
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showWeightTipText
public String showWeightTipText()
Returns the tip text for this property.- Returns:
- tip text for this property suitable for displaying in the GUI or for listing the options.
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getTitle
public String getTitle()
The title to use for the tab.- Specified by:
getTitle
in classAbstractOutputGenerator<ResultItem>
- Returns:
- the title
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canGenerateOutput
public boolean canGenerateOutput(ResultItem item)
Checks whether output can be generated from this item.- Specified by:
canGenerateOutput
in classAbstractOutputGenerator<ResultItem>
- Parameters:
item
- the item to check- Returns:
- true if output can be generated
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createOutput
protected TableContentPanel createOutput(weka.classifiers.Evaluation eval, int[] originalIndices, adams.data.spreadsheet.SpreadSheet additionalAttributes, adams.core.MessageCollection errors)
Generates the output from the evaluation.- Parameters:
eval
- the evaluation to useoriginalIndices
- the original indices, can be nulladditionalAttributes
- the additional attributes to use, can be nullerrors
- for collecting error messages- Returns:
- the generated output
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createOutput
public JComponent createOutput(ResultItem item, adams.core.MessageCollection errors)
Generates output from the item.- Specified by:
createOutput
in classAbstractOutputGenerator<ResultItem>
- Parameters:
item
- the item to generate output forerrors
- for collecting error messages- Returns:
- the output component, null if failed to generate
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