Name

adams.flow.transformer.WekaPrincipalComponents

Synopsis

Performs principal components analysis on the incoming data and outputs the loadings and the transformed data as spreadsheet array.
Automatically filters out attributes that cannot be handled by PCA.

Additional information

Flow input/output:
- input: weka.core.Instances
- output: adams.data.spreadsheet.SpreadSheet[]

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	WekaPrincipalComponents

  
  
• 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

  
  
• varianceCovered
  

  Retain enough PC attributes to account for this proportion of variance.

  command-line	-variance-covered <double>
  default	0.95

  
  
• maximumAttributes
  

  The maximum number of PC attributes to retain.

  command-line	-max-attributes <int>
  default	-1
  minimum	-1

  
  
• maximumAttributeNames
  

  The maximum number of attribute names to use.

  command-line	-max-attribute-names <int>
  default	5
  minimum	-1