weka.knowledgeflow.steps

## Class ClassifierPerformanceEvaluator

- java.lang.Object
- - weka.knowledgeflow.steps.BaseStep
  - - weka.knowledgeflow.steps.ClassifierPerformanceEvaluator

- All Implemented Interfaces:
    java.io.Serializable, BaseStepExtender, Step

      @KFStep(name="ClassifierPerformanceEvaluator",
              category="Evaluation",
              toolTipText="Evaluates batch classifiers",
              iconPath="weka/gui/knowledgeflow/icons/ClassifierPerformanceEvaluator.gif")
      public class ClassifierPerformanceEvaluator
      extends BaseStep

  Step that implements batch classifier evaluation
  Version:
    $Revision: $
  Author:
    Mark Hall (mhall{[at]}pentaho{[dot]}com)
  See Also:
    Serialized Form

- - ### Constructor Summary

    Constructors
    Constructor and Description
    `ClassifierPerformanceEvaluator()` Constructor

  - ### Method Summary

    All Methods Instance Methods Concrete Methods
    Modifier and Type | Method and Description
    --- | ---
    `java.lang.String` | `getCustomEditorForStep()` Return the fully qualified name of a custom editor component (JComponent) to use for editing the properties of the step.
    `boolean` | `getErrorPlotPointSizeProportionalToMargin()` Get whether the size of plot data points will be proportional to the prediction margin
    `java.lang.String` | `getEvaluationMetricsToOutput()` Get the evaluation metrics to output (as a comma-separated list).
    `java.util.List<java.lang.String>` | `getIncomingConnectionTypes()` Get a list of incoming connection types that this step can accept.
    `java.util.List<java.lang.String>` | `getOutgoingConnectionTypes()` Get a list of outgoing connection types that this step can produce.
    `void` | `processIncoming(Data data)` Process an incoming data payload (if the step accepts incoming connections)
    `void` | `setErrorPlotPointSizeProportionalToMargin(boolean e)` Set whether the size of plot data points will be proportional to the prediction margin
    `void` | `setEvaluationMetricsToOutput(java.lang.String m)` Set the evaluation metrics to output (as a comma-separated list).
    `void` | `stepInit()` Initialize the step.
    `void` | `stop()` Request that processing be stopped.

    - ### Methods inherited from class weka.knowledgeflow.steps.BaseStep

      `environmentSubstitute, getDefaultSettings, getInteractiveViewers, getInteractiveViewersImpls, getName, getStepManager, globalInfo, isResourceIntensive, isStopRequested, outputStructureForConnectionType, setName, setStepIsResourceIntensive, setStepManager, start`

    - ### Methods inherited from class java.lang.Object

      `equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait`

- - ### Constructor Detail

    - #### ClassifierPerformanceEvaluator

          public ClassifierPerformanceEvaluator()

      Constructor

  - ### Method Detail

    - #### getErrorPlotPointSizeProportionalToMargin

          @OptionMetadata(displayName="Error plot point size proportional to margin",
                          description="Set the point size proportional to the prediction margin for classification error plots")
          public boolean getErrorPlotPointSizeProportionalToMargin()

      Get whether the size of plot data points will be proportional to the prediction margin
      Returns:
        true if plot data points will be rendered proportional to the size of the prediction margin

    - #### setErrorPlotPointSizeProportionalToMargin

          public void setErrorPlotPointSizeProportionalToMargin(boolean e)

      Set whether the size of plot data points will be proportional to the prediction margin
      Parameters:
        `e` - true if plot data points will be rendered proportional to the size of the prediction margin

    - #### getEvaluationMetricsToOutput

          @ProgrammaticProperty
          public java.lang.String getEvaluationMetricsToOutput()

      Get the evaluation metrics to output (as a comma-separated list).
      Returns:
        the evaluation metrics to output

    - #### setEvaluationMetricsToOutput

          public void setEvaluationMetricsToOutput(java.lang.String m)

      Set the evaluation metrics to output (as a comma-separated list).
      Parameters:
        `m` - the evaluation metrics to output

    - #### getIncomingConnectionTypes

          public java.util.List<java.lang.String> getIncomingConnectionTypes()

      Get a list of incoming connection types that this step can accept. Ideally (and if appropriate), this should take into account the state of the step and any existing incoming connections. E.g. a step might be able to accept one (and only one) incoming batch data connection.
      Returns:
        a list of incoming connections that this step can accept given its current state

    - #### getOutgoingConnectionTypes

          public java.util.List<java.lang.String> getOutgoingConnectionTypes()

      Get a list of outgoing connection types that this step can produce. Ideally (and if appropriate), this should take into account the state of the step and the incoming connections. E.g. depending on what incoming connection is present, a step might be able to produce a trainingSet output, a testSet output or neither, but not both.
      Returns:
        a list of outgoing connections that this step can produce

    - #### stepInit

          public void stepInit()
                        throws WekaException

      Description copied from interface: `Step`
      Initialize the step.
      Throws:
        `WekaException` - if a problem occurs during initialization

    - #### stop

          public void stop()

      Description copied from class: `BaseStep`
      Request that processing be stopped. Subclasses should call `isStopRequested()` periodically to see if they should stop processing.
      Specified by:
        `stop` in interface `Step`
      Overrides:
        `stop` in class `BaseStep`

    - #### processIncoming

          public void processIncoming(Data data)
                               throws WekaException

      Process an incoming data payload (if the step accepts incoming connections)
      Specified by:
        `processIncoming` in interface `BaseStepExtender`
      Specified by:
        `processIncoming` in interface `Step`
      Overrides:
        `processIncoming` in class `BaseStep`
      Parameters:
        `data` - the payload to process
      Throws:
        `WekaException` - if a problem occurs

    - #### getCustomEditorForStep

          public java.lang.String getCustomEditorForStep()

      Return the fully qualified name of a custom editor component (JComponent) to use for editing the properties of the step. This method can return null, in which case the system will dynamically generate an editor using the GenericObjectEditor
      Specified by:
        `getCustomEditorForStep` in interface `Step`
      Overrides:
        `getCustomEditorForStep` in class `BaseStep`
      Returns:
        the fully qualified name of a step editor component