Class RemoveOutliers

  • All Implemented Interfaces:
    AdditionalInformationHandler, CleanUpHandler, Destroyable, GlobalInfoSupporter, LoggingLevelHandler, LoggingSupporter, OptionHandler, QuickInfoSupporter, ShallowCopySupporter<Actor>, SizeOfHandler, Stoppable, StoppableWithFeedback, VariablesInspectionHandler, VariableChangeListener, Actor, ErrorHandler, InputConsumer, InteractiveActor, OutputProducer, StopModeSupporter, Serializable, Comparable

    public class RemoveOutliers
    extends AbstractInteractiveTransformerDialog
    Allows the user to interactively remove outliers.

    Input/output:
    - accepts:
       adams.data.spreadsheet.SpreadSheet
    - generates:
       adams.flow.container.OutlierContainer


    Container information:
    - adams.flow.container.OutlierContainer: Original, Clean, Outliers

    -logging-level <OFF|SEVERE|WARNING|INFO|CONFIG|FINE|FINER|FINEST> (property: loggingLevel)
        The logging level for outputting errors and debugging output.
        default: WARNING
     
    -name <java.lang.String> (property: name)
        The name of the actor.
        default: RemoveOutliers
     
    -annotation <adams.core.base.BaseAnnotation> (property: annotations)
        The annotations to attach to this actor.
        default: 
     
    -skip <boolean> (property: skip)
        If set to true, transformation is skipped and the input token is just forwarded 
        as it is.
        default: false
     
    -stop-flow-on-error <boolean> (property: stopFlowOnError)
        If set to true, the flow gets stopped in case this actor encounters an error;
         useful for critical actors.
        default: false
     
    -silent <boolean> (property: silent)
        If enabled, then no errors are output in the console.
        default: false
     
    -short-title <boolean> (property: shortTitle)
        If enabled uses just the name for the title instead of the actor's full 
        name.
        default: false
     
    -width <int> (property: width)
        The width of the dialog.
        default: 800
        minimum: 1
     
    -height <int> (property: height)
        The height of the dialog.
        default: 600
        minimum: 1
     
    -x <int> (property: x)
        The X position of the dialog (>=0: absolute, -1: left, -2: center, -3: right
        ).
        default: -1
        minimum: -3
     
    -y <int> (property: y)
        The Y position of the dialog (>=0: absolute, -1: top, -2: center, -3: bottom
        ).
        default: -1
        minimum: -3
     
    -stop-if-canceled <boolean> (property: stopFlowIfCanceled)
        If enabled, the flow gets stopped in case the user cancels the dialog.
        default: false
     
    -custom-stop-message <java.lang.String> (property: customStopMessage)
        The custom stop message to use in case a user cancelation stops the flow 
        (default is the full name of the actor)
        default: 
     
    -detector <adams.flow.control.removeoutliers.AbstractOutlierDetector> (property: detector)
        The detector to use for the initial outlier detection.
        default: adams.flow.control.removeoutliers.Null
     
    -col-actual <adams.data.spreadsheet.SpreadSheetColumnIndex> (property: columnActual)
        The spreadsheet column with the actual values.
        default: 1
        example: An index is a number starting with 1; column names (case-sensitive) as well as the following placeholders can be used: first, second, third, last_2, last_1, last
     
    -col-predicted <adams.data.spreadsheet.SpreadSheetColumnIndex> (property: columnPredicted)
        The spreadsheet column with the predicted values.
        default: 2
        example: An index is a number starting with 1; column names (case-sensitive) as well as the following placeholders can be used: first, second, third, last_2, last_1, last
     
    Author:
    FracPete (fracpete at waikato dot ac dot nz)
    See Also:
    Serialized Form
    • Constructor Detail

      • RemoveOutliers

        public RemoveOutliers()
    • Method Detail

      • setDetector

        public void setDetector​(AbstractOutlierDetector value)
        Sets the detector to use.
        Parameters:
        value - the detector
      • detectorTipText

        public String detectorTipText()
        Returns the tip text for this property.
        Returns:
        tip text for this property suitable for displaying in the GUI or for listing the options.
      • setColumnActual

        public void setColumnActual​(SpreadSheetColumnIndex value)
        Sets the spreadsheet column with the actual values.
        Parameters:
        value - the column
      • getColumnActual

        public SpreadSheetColumnIndex getColumnActual()
        Returns the spreadsheet column with the actual values.
        Returns:
        the column
      • columnActualTipText

        public String columnActualTipText()
        Returns the tip text for this property.
        Returns:
        tip text for this property suitable for displaying in the GUI or for listing the options.
      • setColumnPredicted

        public void setColumnPredicted​(SpreadSheetColumnIndex value)
        Sets the spreadsheet column with the predicted values.
        Parameters:
        value - the column
      • getColumnPredicted

        public SpreadSheetColumnIndex getColumnPredicted()
        Returns the spreadsheet column with the predicted values.
        Returns:
        the column
      • columnPredictedTipText

        public String columnPredictedTipText()
        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 the consumer accepts.
        Returns:
        the Class of objects that can be processed
      • generates

        public Class[] generates()
        Returns the class of objects that it generates.
        Returns:
        the Class of the generated tokens