ClassifierPanel (interruptible-weka 0.1.4 API)

java.lang.Object
- java.awt.Component
- - java.awt.Container
  - - javax.swing.JComponent
    - - javax.swing.JPanel
      - weka.gui.AbstractPerspective
        
        weka.gui.explorer.ClassifierPanel

All Implemented Interfaces:

java.awt.image.ImageObserver, java.awt.MenuContainer, java.io.Serializable, java.util.EventListener, javax.accessibility.Accessible, Explorer.CapabilitiesFilterChangeListener, Explorer.ExplorerPanel, Explorer.LogHandler, Perspective
```
@PerspectiveInfo(ID="weka.gui.explorer.classifierpanel",
                 title="Classify",
                 toolTipText="Classify instances",
                 iconPath="weka/gui/weka_icon_new_small.png")
public class ClassifierPanel
extends AbstractPerspective
implements Explorer.CapabilitiesFilterChangeListener, Explorer.ExplorerPanel, Explorer.LogHandler
```
This panel allows the user to select and configure a classifier, set the attribute of the current dataset to be used as the class, and evaluate the classifier using a number of testing modes (test on the training data, train/test on a percentage split, n-fold cross-validation, test on a separate split). The results of classification runs are stored in a result history so that previous results are accessible.

See Also:

Serialized Form

Nested Class Summary

Nested Classes
Modifier and Type	Class and Description
`protected static class`	`ClassifierPanel.ClassifierPanelDefaults` Default settings for the classifier panel
`static class`	`ClassifierPanel.TestMode`

Nested classes/interfaces inherited from class javax.swing.JPanel
javax.swing.JPanel.AccessibleJPanel

Nested classes/interfaces inherited from class javax.swing.JComponent
javax.swing.JComponent.AccessibleJComponent

Nested classes/interfaces inherited from class java.awt.Container
java.awt.Container.AccessibleAWTContainer

Nested classes/interfaces inherited from class java.awt.Component
java.awt.Component.AccessibleAWTComponent, java.awt.Component.BaselineResizeBehavior, java.awt.Component.BltBufferStrategy, java.awt.Component.FlipBufferStrategy

Field Summary

Fields
Modifier and Type	Field and Description
`protected PropertyPanel`	`m_CEPanel` The panel showing the current classifier selection.
`protected javax.swing.JComboBox`	`m_ClassCombo` Lets the user select the class column.
`protected GenericObjectEditor`	`m_ClassificationOutputEditor` Lets the user configure the ClassificationOutput.
`protected PropertyPanel`	`m_ClassificationOutputPanel` ClassificationOutput configuration.
`protected GenericObjectEditor`	`m_ClassifierEditor` Lets the user configure the classifier.
`protected CostMatrixEditor`	`m_CostMatrixEditor` The cost matrix editor for evaluation costs.
`protected VisualizePanel`	`m_CurrentVis` The current visualization object.
`protected javax.swing.JRadioButton`	`m_CVBut` Click to set test mode to cross-validation.
`protected javax.swing.JLabel`	`m_CVLab` Label by where the cv folds are entered.
`protected javax.swing.JTextField`	`m_CVText` The field where the cv folds are entered.
`protected javax.swing.JCheckBox`	`m_errorPlotPointSizeProportionalToMargin` Check to have the point size in error plots proportional to the prediction margin (classification only)
`protected javax.swing.JCheckBox`	`m_EvalWRTCostsBut` Check to evaluate w.r.t a cost matrix.
`protected Explorer`	`m_Explorer` the parent frame.
`protected javax.swing.JFileChooser`	`m_FileChooser` The file chooser for selecting model files.
`protected ResultHistoryPanel`	`m_History` A panel controlling results viewing.
`protected boolean`	`m_initialSettingsSet` Whether start-up settings have been applied (i.e. initial classifier to use)
`protected Instances`	`m_Instances` The main set of instances we're playing with.
`protected Logger`	`m_Log` The destination for log/status messages.
`protected javax.swing.filechooser.FileFilter`	`m_ModelFilter` Filter to ensure only model files are selected.
`protected Range`	`m_OutputAdditionalAttributesRange` the range of attributes to output.
`protected javax.swing.JCheckBox`	`m_OutputConfusionBut` Check to output a confusion matrix.
`protected javax.swing.JCheckBox`	`m_OutputEntropyBut` Check to output entropy statistics.
`protected javax.swing.JCheckBox`	`m_OutputModelBut` Check to output the model built from the training data.
`protected javax.swing.JCheckBox`	`m_OutputModelsForTrainingSplitsBut` Check to output the models built from the training splits.
`protected javax.swing.JCheckBox`	`m_OutputPerClassBut` Check to output true/false positives, precision/recall for each class.
`protected javax.swing.JCheckBox`	`m_OutputSourceCode` Whether to output the source code (only for classifiers importing Sourcable).
`protected javax.swing.JTextArea`	`m_OutText` The output area for classification results.
`protected javax.swing.JRadioButton`	`m_PercentBut` Click to set test mode to generate a % split.
`protected javax.swing.JLabel`	`m_PercentLab` Label by where the % split is entered.
`protected javax.swing.JTextField`	`m_PercentText` The field where the % split is entered.
`protected javax.swing.filechooser.FileFilter`	`m_PMMLModelFilter`
`protected javax.swing.JCheckBox`	`m_PreserveOrderBut` Whether randomization is turned off to preserve order.
`protected javax.swing.JLabel`	`m_RandomLab` the label for the random seed textfield.
`protected javax.swing.JTextField`	`m_RandomSeedText` User specified random seed for cross validation or % split.
`protected java.lang.Thread`	`m_RunThread` A thread that classification runs in.
`protected java.util.List<java.lang.String>`	`m_selectedEvalMetrics` The user's list of selected evaluation metrics
`protected javax.swing.JButton`	`m_SetCostsBut` for the cost matrix.
`protected PropertyDialog`	`m_SetCostsFrame` The frame used to show the cost matrix editing panel.
`protected javax.swing.JButton`	`m_SetTestBut` The button used to open a separate test dataset.
`protected javax.swing.JFrame`	`m_SetTestFrame` The frame used to show the test set selection panel.
`protected javax.swing.JTextField`	`m_SourceCodeClass` The name of the generated class (only applicable to Sourcable schemes).
`protected javax.swing.JButton`	`m_StartBut` Click to start running the classifier.
`protected javax.swing.JButton`	`m_StopBut` Click to stop a running classifier.
`protected javax.swing.JCheckBox`	`m_StorePredictionsBut` Check to save the predictions in the results list for visualizing later on.
`protected int`	`m_TestClassIndex` the class index for the supplied test set.
`protected Loader`	`m_TestLoader` The loader used to load the user-supplied test set (if any).
`protected javax.swing.JRadioButton`	`m_TestSplitBut` Click to set test mode to a user-specified test set.
`protected javax.swing.JRadioButton`	`m_TrainBut` Click to set test mode to test on training data.
`static java.lang.String`	`MODEL_FILE_EXTENSION` The filename extension that should be used for model files.
`static java.lang.String`	`PMML_FILE_EXTENSION` The filename extension that should be used for PMML xml files.

Fields inherited from class weka.gui.AbstractPerspective
m_isActive, m_isLoaded, m_log, m_mainApplication, m_perspectiveIcon, m_perspectiveID, m_perspectiveTipText, m_perspectiveTitle

Fields inherited from class javax.swing.JComponent
listenerList, TOOL_TIP_TEXT_KEY, ui, UNDEFINED_CONDITION, WHEN_ANCESTOR_OF_FOCUSED_COMPONENT, WHEN_FOCUSED, WHEN_IN_FOCUSED_WINDOW

Fields inherited from class java.awt.Component
accessibleContext, BOTTOM_ALIGNMENT, CENTER_ALIGNMENT, LEFT_ALIGNMENT, RIGHT_ALIGNMENT, TOP_ALIGNMENT

Fields inherited from interface java.awt.image.ImageObserver
ABORT, ALLBITS, ERROR, FRAMEBITS, HEIGHT, PROPERTIES, SOMEBITS, WIDTH

Constructor Summary

Constructors
Constructor and Description

ClassifierPanel()
Creates the classifier panel.

Constructors
Constructor and Description
`ClassifierPanel()` Creates the classifier panel.

Method Summary

All Methods Static Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`boolean`	`acceptsInstances()` Returns true if this perspective can do something meaningful with a set of instances
`void`	`capabilitiesFilterChanged(Explorer.CapabilitiesFilterChangeEvent e)` method gets called in case of a change event.
`java.lang.Object`	`getClassificationOutputFormatter()` Get the formatter for classifcation output
`Classifier`	`getClassifier()` Get the currently configured classifier from the GenericObjectEditor
`CostMatrix`	`getCostMatrix()` Get the cost matrix (if any)
`VisualizePanel`	`getCurrentVisualization()` Get the current visualization
`Defaults`	`getDefaultSettings()` Get the default settings for this perspective (or null if there are none)
`Explorer`	`getExplorer()` returns the parent Explorer frame.
`Instances`	`getInstances()` Get the current set of instances
`Logger`	`getLog()` Get the log
`int`	`getNumCVFolds()` Get the number of cross-validation folds to use
`double`	`getPercentageSplit()` Get the percentage to use for percentage split evaluation
`int`	`getRandomSeed()` Get the random seed
`ResultHistoryPanel`	`getResultHistory()` Get the result history panel
`int`	`getSelectedClassIndex()` Get the selected (0-based) class index
`int`	`getSeparateTestSetClassIndex()` Get the class index specified for the separate test set
`Loader`	`getSeparateTestSetLoader()` Get the loader object used for loading a separate test set
`java.lang.String`	`getSourceCodeClassName()` Gets the name of the source code class to be generated
`java.lang.String`	`getTabTitle()` Returns the title for the tab in the Explorer.
`java.lang.String`	`getTabTitleToolTip()` Returns the tooltip for the tab in the Explorer.
`boolean`	`isSelectedCV()` Gets whether cross-validation has been selected by the user
`boolean`	`isSelectedEvalWithRespectToCosts()` Gets whether evaluation with respect to costs has been selected by the user
`boolean`	`isSelectedOutputConfusion()` Gets whether the user has opted to output the confusion matrix
`boolean`	`isSelectedOutputEntropy()` Gets whether the user has opted to output entropy metrics
`boolean`	`isSelectedOutputModel()` Gets whether the user has opted to output the model
`boolean`	`isSelectedOutputModelsForTrainingSplits()` Gets whether the user has opted to output the models for the training splits
`boolean`	`isSelectedOutputPerClassStats()` Gets whether the user has opted to output per-class stats
`boolean`	`isSelectedOutputSourceCode()` Gets whether the user has opted to output source code
`boolean`	`isSelectedPercentageSplit()` Gets whether a percentage split has been selected by the user
`boolean`	`isSelectedPreserveOrder()` Gets whether the user has opted to preserve order of instances in a percentage split
`boolean`	`isSelectedSeparateTestSet()` Gets whether a separate test set has been selected by the user
`boolean`	`isSelectedStorePredictions()` Gets whether the user has opted to store the predictions in the history
`boolean`	`isSelectedTestOnTrain()` Gets whether test on train has been selected by the user
`protected void`	`loadClassifier()` Loads a classifier.
`static void`	`main(java.lang.String[] args)` Tests out the classifier panel from the command line.
`boolean`	`okToBeActive()` Returns true if the perspective is usable at this time.
`protected void`	`printPredictionsHeader(java.lang.StringBuffer outBuff, AbstractOutput classificationOutput, java.lang.String title)` outputs the header for the predictions on the data.
`protected void`	`reevaluateModel(java.lang.String name, Classifier classifier, Instances trainHeader)` Re-evaluates the named classifier with the current test set.
`boolean`	`requiresLog()` Whether this perspective requires a graphical log to write to
`protected void`	`saveBuffer(java.lang.String name)` Save the currently selected classifier output to a file.
`void`	`saveClassifier(java.lang.String name, Classifier classifier, Instances trainHeader)` Saves the currently selected classifier.
`void`	`setActive(boolean active)` Set active status of this perspective.
`void`	`setCurrentVisualization(VisualizePanel current)` Set the current visualization
`void`	`setExplorer(Explorer parent)` Sets the Explorer to use as parent frame (used for sending notifications about changes in the data).
`void`	`setInstances(Instances inst)` Tells the panel to use a new set of instances.
`void`	`setLog(Logger newLog)` Sets the Logger to receive informational messages.
`protected void`	`setTestSet()` Sets the user test set.
`void`	`settingsChanged()` Called when the user alters settings.
`static Evaluation`	`setupEval(Evaluation eval, Classifier classifier, Instances inst, CostMatrix costMatrix, ClassifierErrorsPlotInstances plotInstances, AbstractOutput classificationOutput, boolean onlySetPriors)` Configures an evaluation object with respect to a classifier, cost matrix, output and plotting.
`protected void`	`startClassifier()` Starts running the currently configured classifier with the current settings.
`protected void`	`stopClassifier()` Stops the currently running classifier (if any).
`protected void`	`updateCapabilitiesFilter(Capabilities filter)` updates the capabilities filter of the GOE.
`protected void`	`updateRadioLinks()` Updates the enabled status of the input fields and labels.
`protected void`	`visualize(java.util.List<java.lang.String> names, int x, int y)` Handles constructing a popup menu with visualization options.
`protected void`	`visualizeBayesNet(java.lang.String XMLBIF, java.lang.String graphName)` Pops up a GraphVisualizer for the BayesNet classifier from the currently selected item in the results list.
`protected void`	`visualizeClassifierErrors(VisualizePanel sp)` Pops up a VisualizePanel for visualizing the data and errors for the classifier from the currently selected item in the results list.
`protected void`	`visualizeCostBenefitAnalysis(CostBenefitAnalysis cb, java.lang.String classifierAndRelationName)` Pops up the Cost/Benefit analysis panel.
`protected void`	`visualizeTree(java.lang.String dottyString, java.lang.String treeName)` Pops up a TreeVisualizer for the classifier from the currently selected item in the results list.

Methods inherited from class weka.gui.AbstractPerspective
getMainApplication, getMenus, getPerspectiveIcon, getPerspectiveID, getPerspectiveTipText, getPerspectiveTitle, instantiationComplete, setLoaded, setMainApplication, toString

Methods inherited from class javax.swing.JPanel
getAccessibleContext, getUI, getUIClassID, paramString, setUI, updateUI

Methods inherited from class javax.swing.JComponent
addAncestorListener, addNotify, addVetoableChangeListener, computeVisibleRect, contains, createToolTip, disable, enable, firePropertyChange, firePropertyChange, firePropertyChange, fireVetoableChange, getActionForKeyStroke, getActionMap, getAlignmentX, getAlignmentY, getAncestorListeners, getAutoscrolls, getBaseline, getBaselineResizeBehavior, getBorder, getBounds, getClientProperty, getComponentGraphics, getComponentPopupMenu, getConditionForKeyStroke, getDebugGraphicsOptions, getDefaultLocale, getFontMetrics, getGraphics, getHeight, getInheritsPopupMenu, getInputMap, getInputMap, getInputVerifier, getInsets, getInsets, getListeners, getLocation, getMaximumSize, getMinimumSize, getNextFocusableComponent, getPopupLocation, getPreferredSize, getRegisteredKeyStrokes, getRootPane, getSize, getToolTipLocation, getToolTipText, getToolTipText, getTopLevelAncestor, getTransferHandler, getVerifyInputWhenFocusTarget, getVetoableChangeListeners, getVisibleRect, getWidth, getX, getY, grabFocus, hide, isDoubleBuffered, isLightweightComponent, isManagingFocus, isOpaque, isOptimizedDrawingEnabled, isPaintingForPrint, isPaintingOrigin, isPaintingTile, isRequestFocusEnabled, isValidateRoot, paint, paintBorder, paintChildren, paintComponent, paintImmediately, paintImmediately, print, printAll, printBorder, printChildren, printComponent, processComponentKeyEvent, processKeyBinding, processKeyEvent, processMouseEvent, processMouseMotionEvent, putClientProperty, registerKeyboardAction, registerKeyboardAction, removeAncestorListener, removeNotify, removeVetoableChangeListener, repaint, repaint, requestDefaultFocus, requestFocus, requestFocus, requestFocusInWindow, requestFocusInWindow, resetKeyboardActions, reshape, revalidate, scrollRectToVisible, setActionMap, setAlignmentX, setAlignmentY, setAutoscrolls, setBackground, setBorder, setComponentPopupMenu, setDebugGraphicsOptions, setDefaultLocale, setDoubleBuffered, setEnabled, setFocusTraversalKeys, setFont, setForeground, setInheritsPopupMenu, setInputMap, setInputVerifier, setMaximumSize, setMinimumSize, setNextFocusableComponent, setOpaque, setPreferredSize, setRequestFocusEnabled, setToolTipText, setTransferHandler, setUI, setVerifyInputWhenFocusTarget, setVisible, unregisterKeyboardAction, update

Methods inherited from class java.awt.Container
add, add, add, add, add, addContainerListener, addImpl, addPropertyChangeListener, addPropertyChangeListener, applyComponentOrientation, areFocusTraversalKeysSet, countComponents, deliverEvent, doLayout, findComponentAt, findComponentAt, getComponent, getComponentAt, getComponentAt, getComponentCount, getComponents, getComponentZOrder, getContainerListeners, getFocusTraversalKeys, getFocusTraversalPolicy, getLayout, getMousePosition, insets, invalidate, isAncestorOf, isFocusCycleRoot, isFocusCycleRoot, isFocusTraversalPolicyProvider, isFocusTraversalPolicySet, layout, list, list, locate, minimumSize, paintComponents, preferredSize, printComponents, processContainerEvent, processEvent, remove, remove, removeAll, removeContainerListener, setComponentZOrder, setFocusCycleRoot, setFocusTraversalPolicy, setFocusTraversalPolicyProvider, setLayout, transferFocusDownCycle, validate, validateTree

Methods inherited from class java.awt.Component
action, add, addComponentListener, addFocusListener, addHierarchyBoundsListener, addHierarchyListener, addInputMethodListener, addKeyListener, addMouseListener, addMouseMotionListener, addMouseWheelListener, bounds, checkImage, checkImage, coalesceEvents, contains, createImage, createImage, createVolatileImage, createVolatileImage, disableEvents, dispatchEvent, enable, enableEvents, enableInputMethods, firePropertyChange, firePropertyChange, firePropertyChange, firePropertyChange, firePropertyChange, firePropertyChange, getBackground, getBounds, getColorModel, getComponentListeners, getComponentOrientation, getCursor, getDropTarget, getFocusCycleRootAncestor, getFocusListeners, getFocusTraversalKeysEnabled, getFont, getForeground, getGraphicsConfiguration, getHierarchyBoundsListeners, getHierarchyListeners, getIgnoreRepaint, getInputContext, getInputMethodListeners, getInputMethodRequests, getKeyListeners, getLocale, getLocation, getLocationOnScreen, getMouseListeners, getMouseMotionListeners, getMousePosition, getMouseWheelListeners, getName, getParent, getPeer, getPropertyChangeListeners, getPropertyChangeListeners, getSize, getToolkit, getTreeLock, gotFocus, handleEvent, hasFocus, imageUpdate, inside, isBackgroundSet, isCursorSet, isDisplayable, isEnabled, isFocusable, isFocusOwner, isFocusTraversable, isFontSet, isForegroundSet, isLightweight, isMaximumSizeSet, isMinimumSizeSet, isPreferredSizeSet, isShowing, isValid, isVisible, keyDown, keyUp, list, list, list, location, lostFocus, mouseDown, mouseDrag, mouseEnter, mouseExit, mouseMove, mouseUp, move, nextFocus, paintAll, postEvent, prepareImage, prepareImage, processComponentEvent, processFocusEvent, processHierarchyBoundsEvent, processHierarchyEvent, processInputMethodEvent, processMouseWheelEvent, remove, removeComponentListener, removeFocusListener, removeHierarchyBoundsListener, removeHierarchyListener, removeInputMethodListener, removeKeyListener, removeMouseListener, removeMouseMotionListener, removeMouseWheelListener, removePropertyChangeListener, removePropertyChangeListener, repaint, repaint, repaint, resize, resize, setBounds, setBounds, setComponentOrientation, setCursor, setDropTarget, setFocusable, setFocusTraversalKeysEnabled, setIgnoreRepaint, setLocale, setLocation, setLocation, setName, setSize, setSize, show, show, size, transferFocus, transferFocusBackward, transferFocusUpCycle

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

- Field Detail
  - m_Explorer
```
protected Explorer m_Explorer
```
    the parent frame.
  - MODEL_FILE_EXTENSION
```
public static java.lang.String MODEL_FILE_EXTENSION
```
    The filename extension that should be used for model files.
  - PMML_FILE_EXTENSION
```
public static java.lang.String PMML_FILE_EXTENSION
```
    The filename extension that should be used for PMML xml files.
  - m_ClassifierEditor
```
protected GenericObjectEditor m_ClassifierEditor
```
    Lets the user configure the classifier.
  - m_CEPanel
```
protected PropertyPanel m_CEPanel
```
    The panel showing the current classifier selection.
  - m_OutText
```
protected javax.swing.JTextArea m_OutText
```
    The output area for classification results.
  - m_Log
```
protected Logger m_Log
```
    The destination for log/status messages.
  - m_History
```
protected ResultHistoryPanel m_History
```
    A panel controlling results viewing.
  - m_ClassCombo
```
protected javax.swing.JComboBox m_ClassCombo
```
    Lets the user select the class column.
  - m_CVBut
```
protected javax.swing.JRadioButton m_CVBut
```
    Click to set test mode to cross-validation.
  - m_PercentBut
```
protected javax.swing.JRadioButton m_PercentBut
```
    Click to set test mode to generate a % split.
  - m_TrainBut
```
protected javax.swing.JRadioButton m_TrainBut
```
    Click to set test mode to test on training data.
  - m_TestSplitBut
```
protected javax.swing.JRadioButton m_TestSplitBut
```
    Click to set test mode to a user-specified test set.
  - m_StorePredictionsBut
```
protected javax.swing.JCheckBox m_StorePredictionsBut
```
    Check to save the predictions in the results list for visualizing later on.
  - m_errorPlotPointSizeProportionalToMargin
```
protected javax.swing.JCheckBox m_errorPlotPointSizeProportionalToMargin
```
    Check to have the point size in error plots proportional to the prediction margin (classification only)
  - m_OutputModelBut
```
protected javax.swing.JCheckBox m_OutputModelBut
```
    Check to output the model built from the training data.
  - m_OutputModelsForTrainingSplitsBut
```
protected javax.swing.JCheckBox m_OutputModelsForTrainingSplitsBut
```
    Check to output the models built from the training splits.
  - m_OutputPerClassBut
```
protected javax.swing.JCheckBox m_OutputPerClassBut
```
    Check to output true/false positives, precision/recall for each class.
  - m_OutputConfusionBut
```
protected javax.swing.JCheckBox m_OutputConfusionBut
```
    Check to output a confusion matrix.
  - m_OutputEntropyBut
```
protected javax.swing.JCheckBox m_OutputEntropyBut
```
    Check to output entropy statistics.
  - m_ClassificationOutputEditor
```
protected GenericObjectEditor m_ClassificationOutputEditor
```
    Lets the user configure the ClassificationOutput.
  - m_ClassificationOutputPanel
```
protected PropertyPanel m_ClassificationOutputPanel
```
    ClassificationOutput configuration.
  - m_OutputAdditionalAttributesRange
```
protected Range m_OutputAdditionalAttributesRange
```
    the range of attributes to output.
  - m_EvalWRTCostsBut
```
protected javax.swing.JCheckBox m_EvalWRTCostsBut
```
    Check to evaluate w.r.t a cost matrix.
  - m_SetCostsBut
```
protected javax.swing.JButton m_SetCostsBut
```
    for the cost matrix.
  - m_CVLab
```
protected javax.swing.JLabel m_CVLab
```
    Label by where the cv folds are entered.
  - m_CVText
```
protected javax.swing.JTextField m_CVText
```
    The field where the cv folds are entered.
  - m_PercentLab
```
protected javax.swing.JLabel m_PercentLab
```
    Label by where the % split is entered.
  - m_PercentText
```
protected javax.swing.JTextField m_PercentText
```
    The field where the % split is entered.
  - m_SetTestBut
```
protected javax.swing.JButton m_SetTestBut
```
    The button used to open a separate test dataset.
  - m_SetTestFrame
```
protected javax.swing.JFrame m_SetTestFrame
```
    The frame used to show the test set selection panel.
  - m_SetCostsFrame
```
protected PropertyDialog m_SetCostsFrame
```
    The frame used to show the cost matrix editing panel.
  - m_RandomSeedText
```
protected javax.swing.JTextField m_RandomSeedText
```
    User specified random seed for cross validation or % split.
  - m_RandomLab
```
protected javax.swing.JLabel m_RandomLab
```
    the label for the random seed textfield.
  - m_PreserveOrderBut
```
protected javax.swing.JCheckBox m_PreserveOrderBut
```
    Whether randomization is turned off to preserve order.
  - m_OutputSourceCode
```
protected javax.swing.JCheckBox m_OutputSourceCode
```
    Whether to output the source code (only for classifiers importing Sourcable).
  - m_SourceCodeClass
```
protected javax.swing.JTextField m_SourceCodeClass
```
    The name of the generated class (only applicable to Sourcable schemes).
  - m_StartBut
```
protected javax.swing.JButton m_StartBut
```
    Click to start running the classifier.
  - m_StopBut
```
protected javax.swing.JButton m_StopBut
```
    Click to stop a running classifier.
  - m_CostMatrixEditor
```
protected CostMatrixEditor m_CostMatrixEditor
```
    The cost matrix editor for evaluation costs.
  - m_Instances
```
protected Instances m_Instances
```
    The main set of instances we're playing with.
  - m_TestLoader
```
protected Loader m_TestLoader
```
    The loader used to load the user-supplied test set (if any).
  - m_TestClassIndex
```
protected int m_TestClassIndex
```
    the class index for the supplied test set.
  - m_RunThread
```
protected java.lang.Thread m_RunThread
```
    A thread that classification runs in.
  - m_CurrentVis
```
protected VisualizePanel m_CurrentVis
```
    The current visualization object.
  - m_ModelFilter
```
protected javax.swing.filechooser.FileFilter m_ModelFilter
```
    Filter to ensure only model files are selected.
  - m_PMMLModelFilter
```
protected javax.swing.filechooser.FileFilter m_PMMLModelFilter
```
  - m_FileChooser
```
protected javax.swing.JFileChooser m_FileChooser
```
    The file chooser for selecting model files.
  - m_selectedEvalMetrics
```
protected java.util.List<java.lang.String> m_selectedEvalMetrics
```
    The user's list of selected evaluation metrics
  - m_initialSettingsSet
```
protected boolean m_initialSettingsSet
```
    Whether start-up settings have been applied (i.e. initial classifier to use)
- Constructor Detail
  - ClassifierPanel
```
public ClassifierPanel()
```
    Creates the classifier panel.
- Method Detail
  - updateRadioLinks
```
protected void updateRadioLinks()
```
    Updates the enabled status of the input fields and labels.
  - setLog
```
public void setLog(Logger newLog)
```
    Sets the Logger to receive informational messages.
    
    Specified by:
    
    setLog in interface Explorer.LogHandler
    
    Specified by:
    
    setLog in interface Perspective
    
    Overrides:
    
    setLog in class AbstractPerspective
    
    Parameters:
    
    newLog - the Logger that will now get info messages
  - setInstances
```
public void setInstances(Instances inst)
```
    Tells the panel to use a new set of instances.
    
    Specified by:
    
    setInstances in interface Explorer.ExplorerPanel
    
    Specified by:
    
    setInstances in interface Perspective
    
    Overrides:
    
    setInstances in class AbstractPerspective
    
    Parameters:
    
    inst - a set of Instances
  - getInstances
```
public Instances getInstances()
```
    Get the current set of instances
    
    Returns:
    
    the current set of instances
  - setTestSet
```
protected void setTestSet()
```
    Sets the user test set. Information about the current test set is displayed in an InstanceSummaryPanel and the user is given the ability to load another set from a file or url.
  - printPredictionsHeader
```
protected void printPredictionsHeader(java.lang.StringBuffer outBuff,
                                      AbstractOutput classificationOutput,
                                      java.lang.String title)
```
    outputs the header for the predictions on the data.
    
    Parameters:
    
    outBuff - the buffer to add the output to
    
    classificationOutput - for generating the classification output
    
    title - the title to print
  - setupEval
```
public static Evaluation setupEval(Evaluation eval,
                                   Classifier classifier,
                                   Instances inst,
                                   CostMatrix costMatrix,
                                   ClassifierErrorsPlotInstances plotInstances,
                                   AbstractOutput classificationOutput,
                                   boolean onlySetPriors)
                            throws java.lang.Exception
```
    Configures an evaluation object with respect to a classifier, cost matrix, output and plotting.
    
    Parameters:
    
    eval - the Evaluation object to configure
    
    classifier - the Classifier being used
    
    inst - the Instances involved
    
    costMatrix - a cost matrix (if any)
    
    plotInstances - a ClassifierErrorsPlotInstances for visualization of errors (can be null)
    
    classificationOutput - an output object for printing predictions (can be null)
    
    onlySetPriors - true to only set priors
    
    Returns:
    
    the configured Evaluation object
    
    Throws:
    
    java.lang.Exception - if a problem occurs
  - startClassifier
```
protected void startClassifier()
```
    Starts running the currently configured classifier with the current settings. This is run in a separate thread, and will only start if there is no classifier already running. The classifier output is sent to the results history panel.
  - visualize
```
protected void visualize(java.util.List<java.lang.String> names,
                         int x,
                         int y)
```
    Handles constructing a popup menu with visualization options.
    
    Parameters:
    
    names - the name of the result history list entry clicked on by the user
    
    x - the x coordinate for popping up the menu
    
    y - the y coordinate for popping up the menu
  - visualizeTree
```
protected void visualizeTree(java.lang.String dottyString,
                             java.lang.String treeName)
```
    Pops up a TreeVisualizer for the classifier from the currently selected item in the results list.
    
    Parameters:
    
    dottyString - the description of the tree in dotty format
    
    treeName - the title to assign to the display
  - visualizeBayesNet
```
protected void visualizeBayesNet(java.lang.String XMLBIF,
                                 java.lang.String graphName)
```
    Pops up a GraphVisualizer for the BayesNet classifier from the currently selected item in the results list.
    
    Parameters:
    
    XMLBIF - the description of the graph in XMLBIF ver. 0.3
    
    graphName - the name of the graph
  - visualizeCostBenefitAnalysis
```
protected void visualizeCostBenefitAnalysis(CostBenefitAnalysis cb,
                                            java.lang.String classifierAndRelationName)
```
    Pops up the Cost/Benefit analysis panel.
    
    Parameters:
    
    cb - the CostBenefitAnalysis panel to pop up
  - visualizeClassifierErrors
```
protected void visualizeClassifierErrors(VisualizePanel sp)
```
    Pops up a VisualizePanel for visualizing the data and errors for the classifier from the currently selected item in the results list.
    
    Parameters:
    
    sp - the VisualizePanel to pop up.
  - saveBuffer
```
protected void saveBuffer(java.lang.String name)
```
    Save the currently selected classifier output to a file.
    
    Parameters:
    
    name - the name of the buffer to save
  - stopClassifier
```
protected void stopClassifier()
```
    Stops the currently running classifier (if any).
  - saveClassifier
```
public void saveClassifier(java.lang.String name,
                           Classifier classifier,
                           Instances trainHeader)
```
    Saves the currently selected classifier.
    
    Parameters:
    
    name - the name of the run
    
    classifier - the classifier to save
    
    trainHeader - the header of the training instances
  - loadClassifier
```
protected void loadClassifier()
```
    Loads a classifier.
  - reevaluateModel
```
protected void reevaluateModel(java.lang.String name,
                               Classifier classifier,
                               Instances trainHeader)
```
    Re-evaluates the named classifier with the current test set. Unpredictable things will happen if the data set is not compatible with the classifier.
    
    Parameters:
    
    name - the name of the classifier entry
    
    classifier - the classifier to evaluate
    
    trainHeader - the header of the training set
  - updateCapabilitiesFilter
```
protected void updateCapabilitiesFilter(Capabilities filter)
```
    updates the capabilities filter of the GOE.
    
    Parameters:
    
    filter - the new filter to use
  - capabilitiesFilterChanged
```
public void capabilitiesFilterChanged(Explorer.CapabilitiesFilterChangeEvent e)
```
    method gets called in case of a change event.
    
    Specified by:
    
    capabilitiesFilterChanged in interface Explorer.CapabilitiesFilterChangeListener
    
    Parameters:
    
    e - the associated change event
  - setExplorer
```
public void setExplorer(Explorer parent)
```
    Sets the Explorer to use as parent frame (used for sending notifications about changes in the data).
    
    Specified by:
    
    setExplorer in interface Explorer.ExplorerPanel
    
    Parameters:
    
    parent - the parent frame
  - getExplorer
```
public Explorer getExplorer()
```
    returns the parent Explorer frame.
    
    Specified by:
    
    getExplorer in interface Explorer.ExplorerPanel
    
    Returns:
    
    the parent
  - getTabTitle
```
public java.lang.String getTabTitle()
```
    Returns the title for the tab in the Explorer.
    
    Specified by:
    
    getTabTitle in interface Explorer.ExplorerPanel
    
    Returns:
    
    the title of this tab
  - getTabTitleToolTip
```
public java.lang.String getTabTitleToolTip()
```
    Returns the tooltip for the tab in the Explorer.
    
    Specified by:
    
    getTabTitleToolTip in interface Explorer.ExplorerPanel
    
    Returns:
    
    the tooltip of this tab
  - requiresLog
```
public boolean requiresLog()
```
    Description copied from class: AbstractPerspective
    
    Whether this perspective requires a graphical log to write to
    
    Specified by:
    
    requiresLog in interface Perspective
    
    Overrides:
    
    requiresLog in class AbstractPerspective
    
    Returns:
    
    true if a log is needed by this perspective
  - acceptsInstances
```
public boolean acceptsInstances()
```
    Description copied from class: AbstractPerspective
    
    Returns true if this perspective can do something meaningful with a set of instances
    
    Specified by:
    
    acceptsInstances in interface Perspective
    
    Overrides:
    
    acceptsInstances in class AbstractPerspective
    
    Returns:
    
    true if this perspective accepts instances
  - getDefaultSettings
```
public Defaults getDefaultSettings()
```
    Description copied from class: AbstractPerspective
    
    Get the default settings for this perspective (or null if there are none)
    
    Specified by:
    
    getDefaultSettings in interface Perspective
    
    Overrides:
    
    getDefaultSettings in class AbstractPerspective
    
    Returns:
    
    the default settings for this perspective, or null if the perspective does not have any settings
  - okToBeActive
```
public boolean okToBeActive()
```
    Description copied from class: AbstractPerspective
    
    Returns true if the perspective is usable at this time. This is a no-opp implementation that always returns true. Subclasses should override if there are specific conditions that need to be met (e.g. can't operate if there are no instances set).
    
    Specified by:
    
    okToBeActive in interface Perspective
    
    Overrides:
    
    okToBeActive in class AbstractPerspective
    
    Returns:
    
    true if this perspective is usable at this time
  - setActive
```
public void setActive(boolean active)
```
    Description copied from class: AbstractPerspective
    
    Set active status of this perspective. True indicates that this perspective is the visible active perspective in the application
    
    Specified by:
    
    setActive in interface Perspective
    
    Overrides:
    
    setActive in class AbstractPerspective
    
    Parameters:
    
    active - true if this perspective is the active one
  - settingsChanged
```
public void settingsChanged()
```
    Description copied from class: AbstractPerspective
    
    Called when the user alters settings. The settings altered by the user are not necessarily ones related to this perspective
    
    Specified by:
    
    settingsChanged in interface Perspective
    
    Overrides:
    
    settingsChanged in class AbstractPerspective
  - isSelectedCV
```
public boolean isSelectedCV()
```
    Gets whether cross-validation has been selected by the user
    
    Returns:
    
    true if cross-validation has been selected
  - isSelectedTestOnTrain
```
public boolean isSelectedTestOnTrain()
```
    Gets whether test on train has been selected by the user
    
    Returns:
    
    true if testing is to be done on the training set
  - isSelectedPercentageSplit
```
public boolean isSelectedPercentageSplit()
```
    Gets whether a percentage split has been selected by the user
    
    Returns:
    
    true if a percentage split has been selected
  - isSelectedSeparateTestSet
```
public boolean isSelectedSeparateTestSet()
```
    Gets whether a separate test set has been selected by the user
    
    Returns:
    
    true if a separate test set has been selected by the user
  - isSelectedEvalWithRespectToCosts
```
public boolean isSelectedEvalWithRespectToCosts()
```
    Gets whether evaluation with respect to costs has been selected by the user
    
    Returns:
    
    true if eval with respect to costs
  - isSelectedOutputModel
```
public boolean isSelectedOutputModel()
```
    Gets whether the user has opted to output the model
    
    Returns:
    
    true if the model is to be output
  - isSelectedOutputModelsForTrainingSplits
```
public boolean isSelectedOutputModelsForTrainingSplits()
```
    Gets whether the user has opted to output the models for the training splits
    
    Returns:
    
    true if the models for the training splits are to be output
  - isSelectedOutputConfusion
```
public boolean isSelectedOutputConfusion()
```
    Gets whether the user has opted to output the confusion matrix
    
    Returns:
    
    true if the confusion matrix is to be output
  - isSelectedOutputPerClassStats
```
public boolean isSelectedOutputPerClassStats()
```
    Gets whether the user has opted to output per-class stats
    
    Returns:
    
    true if per-class stats are to be output
  - isSelectedOutputEntropy
```
public boolean isSelectedOutputEntropy()
```
    Gets whether the user has opted to output entropy metrics
    
    Returns:
    
    true if entropy metrics are to be output
  - isSelectedStorePredictions
```
public boolean isSelectedStorePredictions()
```
    Gets whether the user has opted to store the predictions in the history
    
    Returns:
    
    true if predictions are to be stored
  - isSelectedOutputSourceCode
```
public boolean isSelectedOutputSourceCode()
```
    Gets whether the user has opted to output source code
    
    Returns:
    
    true if source code is to be output
  - isSelectedPreserveOrder
```
public boolean isSelectedPreserveOrder()
```
    Gets whether the user has opted to preserve order of instances in a percentage split
    
    Returns:
    
    whether the user has opted to preserve the instance order
  - getSourceCodeClassName
```
public java.lang.String getSourceCodeClassName()
```
    Gets the name of the source code class to be generated
    
    Returns:
    
    the name of the source code class to be generated
  - getCurrentVisualization
```
public VisualizePanel getCurrentVisualization()
```
    Get the current visualization
    
    Returns:
    
    the current visualization
  - setCurrentVisualization
```
public void setCurrentVisualization(VisualizePanel current)
```
    Set the current visualization
    
    Parameters:
    
    current - the visualization to use
  - getSelectedClassIndex
```
public int getSelectedClassIndex()
```
    Get the selected (0-based) class index
    
    Returns:
    
    the selected class index
  - getNumCVFolds
```
public int getNumCVFolds()
```
    Get the number of cross-validation folds to use
    
    Returns:
    
    the number of cross-validation folds to use
  - getPercentageSplit
```
public double getPercentageSplit()
```
    Get the percentage to use for percentage split evaluation
    
    Returns:
    
    the percentage to use in a percent split evaluation
  - getClassifier
```
public Classifier getClassifier()
```
    Get the currently configured classifier from the GenericObjectEditor
    
    Returns:
    
    the currently configured classifier
  - getCostMatrix
```
public CostMatrix getCostMatrix()
```
    Get the cost matrix (if any)
    
    Returns:
    
    the cost matrix
  - getClassificationOutputFormatter
```
public java.lang.Object getClassificationOutputFormatter()
```
    Get the formatter for classifcation output
    
    Returns:
    
    the formatter for classification output
  - getResultHistory
```
public ResultHistoryPanel getResultHistory()
```
    Get the result history panel
    
    Returns:
    
    the result history panel
  - getSeparateTestSetLoader
```
public Loader getSeparateTestSetLoader()
```
    Get the loader object used for loading a separate test set
    
    Returns:
    
    the loader used for loading a separate test set
  - getSeparateTestSetClassIndex
```
public int getSeparateTestSetClassIndex()
```
    Get the class index specified for the separate test set
    
    Returns:
    
    the class index specified for the separate test set
  - getRandomSeed
```
public int getRandomSeed()
```
    Get the random seed
    
    Returns:
    
    the random seed
  - getLog
```
public Logger getLog()
```
    Get the log
    
    Returns:
    
    the log object
  - main
```
public static void main(java.lang.String[] args)
```
    Tests out the classifier panel from the command line.
    
    Parameters:
    
    args - may optionally contain the name of a dataset to load.

Class ClassifierPanel

Nested Class Summary

Nested classes/interfaces inherited from class javax.swing.JPanel

Nested classes/interfaces inherited from class javax.swing.JComponent

Nested classes/interfaces inherited from class java.awt.Container

Nested classes/interfaces inherited from class java.awt.Component

Field Summary

Fields inherited from class weka.gui.AbstractPerspective

Fields inherited from class javax.swing.JComponent

Fields inherited from class java.awt.Component

Fields inherited from interface java.awt.image.ImageObserver

Constructor Summary

Method Summary

Methods inherited from class weka.gui.AbstractPerspective

Methods inherited from class javax.swing.JPanel

Methods inherited from class javax.swing.JComponent

Methods inherited from class java.awt.Container

Methods inherited from class java.awt.Component

Methods inherited from class java.lang.Object

Field Detail

m_Explorer

MODEL_FILE_EXTENSION

PMML_FILE_EXTENSION

m_ClassifierEditor

m_CEPanel

m_OutText

m_Log

m_History

m_ClassCombo

m_CVBut

m_PercentBut

m_TrainBut

m_TestSplitBut

m_StorePredictionsBut

m_errorPlotPointSizeProportionalToMargin

m_OutputModelBut

m_OutputModelsForTrainingSplitsBut

m_OutputPerClassBut

m_OutputConfusionBut

m_OutputEntropyBut

m_ClassificationOutputEditor

m_ClassificationOutputPanel

m_OutputAdditionalAttributesRange

m_EvalWRTCostsBut

m_SetCostsBut

m_CVLab

m_CVText

m_PercentLab

m_PercentText

m_SetTestBut

m_SetTestFrame

m_SetCostsFrame

m_RandomSeedText

m_RandomLab

m_PreserveOrderBut

m_OutputSourceCode

m_SourceCodeClass

m_StartBut

m_StopBut

m_CostMatrixEditor

m_Instances

m_TestLoader

m_TestClassIndex

m_RunThread

m_CurrentVis

m_ModelFilter

m_PMMLModelFilter

m_FileChooser

m_selectedEvalMetrics

m_initialSettingsSet

Constructor Detail

ClassifierPanel

Method Detail

updateRadioLinks

setLog

setInstances

getInstances

setTestSet

printPredictionsHeader

setupEval