Name

adams.flow.transformer.MultiSpectrumOutlierDetector

Synopsis

Uses the specified multi-spectrum filter to obtain a single spectrum from the multi-spectrum and applies the outlier detector to it.
Any resulting detections get added to the multi-spectrum itself.

Additional information

Flow input/output:
- input: adams.data.spectrum.MultiSpectrum
- output: adams.data.spectrum.MultiSpectrum

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	MultiSpectrumOutlierDetector

  
  
• 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

  
  
• filter
  

  The filter to use.

  command-line	-filter <adams.data.multifilter.AbstractMultiSpectrumFilter>
  default	adams.data.multifilter.PickByIndex

  
  
• detector
  

  The outlier detector to use.

  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