Name

adams.flow.transformer.OutlierDetector

Synopsis

Applies the outlier detector and either outputs the updated data container or a flow container with the data and the detection results.

Additional information

Flow input/output:
- input: adams.data.container.DataContainer
- output: adams.data.container.DataContainer

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	OutlierDetector

  
  
• 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

  
  
• detector
  

  The outlier detector to use for analyzing the data.

  command-line	-detector <adams.data.outlier.AbstractOutlierDetector>
  default	adams.data.outlier.PassThrough

  
  
• onlyWarning
  

  If enabled, the detections get added merely as warnings instead of as errors.

  command-line	-only-warning <boolean>
  default	false

  
  
• outputContainer
  

  If enabled, a flow container is output instead of just adding the detections to the data container.

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