Package adams.flow.transformer

Class WekaDatasetSplit

  • 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 WekaDatasetSplit
extends AbstractTransformer
    Splits the incoming dataset into sub-sets using the specified splitter.

    Input/output:
    - accepts:
       weka.core.Instances
    - generates:
       weka.core.Instances[]


    -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: WekaDatasetSplit
 
    -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 execution at this level gets stopped in case this
    actor encounters an error; the error gets propagated; useful for critical
    actors.
    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
 
    -splitter <adams.data.weka.datasetsplitter.AbstractSplitter> (property: splitter)
    The splitter to use to split the dataset.
    default: adams.data.weka.datasetsplitter.RowSplitter -row-finder adams.data.weka.rowfinder.NullFinder
    Author:
    Corey Sterling (csterlin at waikato dot ac dot nz)
    See Also:
    Serialized Form

    • Constructor Detail

      • WekaDatasetSplit

        public WekaDatasetSplit()

    • Method Detail

      • getSplitter

        public AbstractSplitter getSplitter()
        Gets the splitter to use.
        Returns:
        The splitter to use.

      • setSplitter

        public void setSplitter​(AbstractSplitter value)
        Sets the splitter to use.
        Parameters:
        value - The splitter to use.

      • splitterTipText

        public String splitterTipText()
        Gets the tip-text for the splitter option.
        Returns:
        The tip-text as a string.

      • doExecute

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

      • 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