Name

adams.flow.transformer.WekaGeneticAlgorithm

Synopsis

Applies the genetic algorithm to the incoming dataset.
Forwards the best setup(s) after the algorithm finishes.
A callable sink can be specified for receiving intermediate performance results.

Additional information

Flow input/output:
- input: weka.core.Instances, adams.flow.container.WekaGeneticAlgorithmInitializationContainer
- output: adams.flow.container.WekaGeneticAlgorithmContainer

Container information:
- adams.flow.container.WekaGeneticAlgorithmInitializationContainer:
   - Algorithm: genetic algorithm object; adams.opt.genetic.AbstractClassifierBasedGeneticAlgorithm
   - Data: training data; weka.core.Instances
- adams.flow.container.WekaGeneticAlgorithmContainer:
   - Setup: classifier object; weka.classifiers.Classifier
   - Measure: measure used for fitness; adams.opt.genetic.Measure
   - Fitness: fitness score; java.lang.Double
   - WeightsStr: all the weights; java.lang.String
   - Weights: weights; array of int

Options

• loggingLevel
  

  The logging level for outputting errors and debugging output.

  command-line	-logging-level <OFF|SEVERE|WARNING|INFO|CONFIG|FINE|FINER|FINEST>
  default	WARNING
  min-user-mode	Expert

  
  
• name
  

  The name of the actor.

  command-line	-name <java.lang.String>
  default	WekaGeneticAlgorithm

  
  
• annotations
  

  The annotations to attach to this actor.

  command-line	-annotation <adams.core.base.BaseAnnotation>
  default

  
  
• skip
  

  If set to true, transformation is skipped and the input token is just forwarded as it is.

  command-line	-skip <boolean>
  default	false

  
  
• 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.

  command-line	-stop-flow-on-error <boolean>
  default	false
  min-user-mode	Expert

  
  
• silent
  

  If enabled, then no errors are output in the console; Note: the enclosing actor handler must have this enabled as well.

  command-line	-silent <boolean>
  default	false
  min-user-mode	Expert

  
  
• outputArray
  

  If enabled, outputs the containers as array rather than one-by-one.

  command-line	-output-array <boolean>
  default	false

  
  
• algorithm
  

  The genetic algorithm to apply to the dataset.

  command-line

  -algorithm <adams.opt.genetic.AbstractClassifierBasedGeneticAlgorithm>

  default

  adams.opt.genetic.DarkLord -stopping-criterion adams.opt.genetic.stopping.MaxIterations -initial-setups-provider adams.opt.genetic.initialsetups.EmptyInitialSetupsProvider -generator weka.classifiers.DefaultCrossValidationFoldGenerator -classifier weka.classifiers.rules.ZeroR -evaluation-post-processor adams.flow.transformer.wekaevaluationpostprocessor.PassThrough -setup-upload adams.opt.genetic.setupupload.Null

  
  
• callableName
  

  The name of the callable sink to forward to the adams.flow.container.WekaGeneticAlgorithmContainer containers.

  command-line	-callable <adams.flow.core.CallableActorReference>
  default	unknown

  
  
• optional
  

  If enabled, then the callable sink is optional, ie no error is raised if not found, merely ignored.

  command-line	-optional <boolean>
  default	false

  
  
• testData
  

  The storage item with the test data; cross-validation is performed if not present or the algorithm doesn't support test data handling.

  command-line	-test-data <adams.flow.control.StorageName>
  default	storage