Package adams.flow.transformer

Class WekaGeneticAlgorithmInitializer

  • All Implemented Interfaces:
    AdditionalInformationHandler, CleanUpHandler, Destroyable, GlobalInfoSupporter, LoggingLevelHandler, LoggingSupporter, OptionHandler, QuickInfoSupporter, ShallowCopySupporter<Actor>, SizeOfHandler, Stoppable, StoppableWithFeedback, VariablesInspectionHandler, VariableChangeListener, StorageUser, Actor, ErrorHandler, InputConsumer, OutputProducer, Serializable, Comparable
    public class WekaGeneticAlgorithmInitializer
extends AbstractTransformer
implements StorageUser
    Populates a adams.flow.container.WekaGeneticAlgorithmInitializationContainer container from the data obtained from the incoming setup (in properties format, can be gzip compressed).

    Input/output:
    - accepts:
       java.lang.String
       java.util.Properties
    - generates:
       adams.flow.container.WekaGeneticAlgorithmInitializationContainer


    Container information:
    - adams.flow.container.WekaGeneticAlgorithmInitializationContainer: Algorithm, Data 

    -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: WekaGeneticAlgorithmInitializer
 
    -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
 
    -storage-name <adams.flow.control.StorageName> (property: storageName)
    The name of the data in internal storage.
    default: storage
 
    -setup <java.lang.String> (property: setup)
    The property in the incoming properties that contains the commandline of 
    the genetic algorithm.
    default: Commandline
 
    -weights <java.lang.String> (property: weights)
    The optional weights property in the incoming properties for initializing 
    the algorithm.
    default: Weights
    Version:
    $Revision$
    Author:
    fracpete (fracpete at waikato dot ac dot nz)
    See Also:
    Serialized Form

    • Field Detail

      • m_StorageName

        protected StorageName m_StorageName
        the name of the datasets in the internal storage.

      • m_Setup

        protected String m_Setup
        the property for the genetic algorithm setup.

      • m_Weights

        protected String m_Weights
        the property for the weights (optional).

    • Constructor Detail

      • WekaGeneticAlgorithmInitializer

        public WekaGeneticAlgorithmInitializer()

    • Method Detail

      • setStorageName

        public void setStorageName​(StorageName value)
        Sets the name for the data in the internal storage.
        Parameters:
        value - the name

      • getStorageName

        public StorageName getStorageName()
        Returns the name for the data in the internal storage.
        Returns:
        the name

      • storageNameTipText

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

      • setSetup

        public void setSetup​(String value)
        Sets the property in the incoming properties that contains the commandline of the genetic algorithm.
        Parameters:
        value - the property

      • getSetup

        public String getSetup()
        Returns the property in the incoming properties that contains the commandline of the genetic algorithm.
        Returns:
        the property

      • setupTipText

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

      • setWeights

        public void setWeights​(String value)
        Sets the optional property in the incoming properties for the initial weights to use.
        Parameters:
        value - the weights

      • getWeights

        public String getWeights()
        Returns the optional property in the incoming properties for the initial weights to use.
        Returns:
        the weights

      • weightsTipText

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

      • isUsingStorage

        public boolean isUsingStorage()
        Returns whether storage items are being used.
        Specified by:
        isUsingStorage in interface StorageUser
        Returns:
        true if storage items are used

      • accepts

        public Class[] accepts()
        Returns the class that the consumer accepts.
        Specified by:
        accepts in interface InputConsumer
        Returns:
        java.lang.String.class, java.util.Properties.class

      • generates

        public Class[] generates()
        Returns the class of objects that it generates.
        Specified by:
        generates in interface OutputProducer
        Returns:
        adams.flow.container.WekaGeneticAlgorithmInitializationContainer.class

      • doExecute

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