Name

adams.flow.source.MOAStream

Synopsis

Generates artificial data using a MOA stream generator.

Additional information

Flow input/output:
- output: com.yahoo.labs.samoa.instances.Instance

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	MOAStream

  
  
• 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

  
  
• streamGenerator
  

  The stream generator to use for generating the weka.core.Instance objects.

  command-line	-stream <moa.options.ClassOption>
  default	generators.AgrawalGenerator

  
  
• numExamples
  

  The number of examples to generate; -1 means infinite.

  command-line	-num-examples <int>
  default	10000
  minimum	-1

  
  
• chunkSize
  

  The size of the chunks to create: if 1 then Instance by Instance otherwise an Instances object.

  command-line	-chunk-size <int>
  default	1
  minimum	1