Class WekaPredictionsToInstances

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

    public class WekaPredictionsToInstances
    extends AbstractWekaPredictionsTransformer
    Generates weka.core.Instances from the predictions of an Evaluation object.

    - accepts:
    - generates:

    Container information:
    - adams.flow.container.WekaEvaluationContainer: Evaluation, Model, Prediction output, Original indices

    -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: WekaPredictionsToInstances
    -annotation <adams.core.base.BaseAnnotation> (property: annotations)
        The annotations to attach to this actor.
    -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 execution at this level gets stopped in case this 
        actor encounters an error; the error gets propagated; useful for critical 
        default: false
    -silent <boolean> (property: silent)
        If enabled, then no errors are output in the console; Note: the enclosing 
        actor handler must have this enabled as well.
        default: false
    -add-index <boolean> (property: addLabelIndex)
        If set to true, then the label is prefixed with the index.
        default: false
    -error <boolean> (property: showError)
        If set to true, then the error will be displayed as well.
        default: false
    -absolute-error <boolean> (property: useAbsoluteError)
        If set to true, then the error will be absolute (no direction).
        default: true
    -probability <boolean> (property: showProbability)
        If set to true, then the probability of the prediction will be displayed 
        as well (only for nominal class attributes).
        default: false
    -distribution <boolean> (property: showDistribution)
        If set to true, then the class distribution will be displayed as well (only 
        for nominal class attributes).
        default: false
    -weight <boolean> (property: showWeight)
        If set to true, then the instance weight will be displayed as well.
        default: false
    -use-original-indices <boolean> (property: useOriginalIndices)
        If set to true, the input token is a adams.flow.container.WekaEvaluationContainer 
        and it contains the original indices ('Original indices') then the output 
        will get aligned with the original data.
        default: false
    -test-attributes <adams.core.Range> (property: testAttributes)
        The range of attributes from the test set to add to the output (if test
        data available).
        example: A range is a comma-separated list of single 1-based indices or sub-ranges of indices ('start-end'); 'inv(...)' inverts the range '...'; the following placeholders can be used as well: first, second, third, last_2, last_1, last
    -measures-prefix <java.lang.String> (property: measuresPrefix)
        The prefix to use for the measure attributes being output.
    fracpete (fracpete at waikato dot ac dot nz)
    See Also:
    Serialized Form
    • Constructor Detail

      • WekaPredictionsToInstances

        public WekaPredictionsToInstances()
    • Method Detail

      • doExecute

        protected String doExecute()
        Executes the flow item.
        Specified by:
        doExecute in class AbstractActor
        null if everything is fine, otherwise error message
      • generates

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