Name

adams.flow.transformer.WekaPredictionsToSpreadSheet

Synopsis

Generates a SpreadSheet object from the predictions of an Evaluation object.

Additional information

Flow input/output:
- input: weka.classifiers.Evaluation, adams.flow.container.WekaEvaluationContainer
- output: adams.data.spreadsheet.SpreadSheet

Container information:
- adams.flow.container.WekaEvaluationContainer:
   - Evaluation: evaluation object; weka.classifiers.Evaluation
   - Model: model object; java.lang.Object
   - Prediction output: prediction output text; java.lang.String
   - Original indices: original indices (0-based); array of int
   - Test data: data used for testing; weka.core.Instances

See also

• adams.flow.transformer.WekaSpreadSheetToPredictions

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	WekaPredictionsToSpreadSheet

  
  
• 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

  
  
• addLabelIndex
  

  If set to true, then the label is prefixed with the index.

  command-line	-add-index <boolean>
  default	false

  
  
• showError
  

  If set to true, then the error will be displayed as well.

  command-line	-error <boolean>
  default	false

  
  
• useAbsoluteError
  

  If set to true, then the error will be absolute (no direction).

  command-line	-absolute-error <boolean>
  default	true

  
  
• showProbability
  

  If set to true, then the probability of the prediction will be displayed as well (only for nominal class attributes).

  command-line	-probability <boolean>
  default	false

  
  
• showDistribution
  

  If set to true, then the class distribution will be displayed as well (only for nominal class attributes).

  command-line	-distribution <boolean>
  default	false

  
  
• showWeight
  

  If set to true, then the instance weight will be displayed as well.

  command-line	-weight <boolean>
  default	false

  
  
• useOriginalIndices
  

  If set to true, the input token is a adams.flow.container.WekaEvaluationContainer and it contains the original indices ('Original indices') then the output will get aligned with the original data.

  command-line	-use-original-indices <boolean>
  default	true

  
  
• testAttributes
  

  The range of attributes from the test set to add to the output (if test data available).

  command-line	-test-attributes <adams.data.weka.WekaAttributeRange>
  default
  example	A range is a comma-separated list of single 1-based indices or sub-ranges of indices ('start-end'); 'inv(...)' inverts the range '...'; apart from attribute names (case-sensitive), the following placeholders can be used as well: first, second, third, last_2, last_1, last; numeric indices can be enforced by preceding them with '#' (eg '#12'); attribute names can be surrounded by double quotes.

  
  
• measuresPrefix
  

  The prefix to use for the measure attributes being output.

  command-line	-measures-prefix <java.lang.String>
  default