adams.flow.transformer.PredictionCheck
Applies the specified check scheme to the incoming evaluation container.
Flow input/output:
- input: adams.flow.container.EvaluationContainer
- output: adams.flow.container.EvaluationContainer
Container information:
- adams.flow.container.EvaluationContainer:
- Instance: data row; weka.core.Instance
- Instances: dataset; weka.core.Instances
- Evaluations: mapping of evaluations (String/Object); java.util.Map
- Evaluator: evaluator used; adams.data.evaluator.instance.AbstractEvaluator
- Classification: classification; java.lang.Double or java.lang.String
- Abstention classification: abstention classification; java.lang.Double or java.lang.String
- Distribution: class distribution; double[]
- Component: component name; java.lang.String
- Version: version; java.lang.String
- ID: (optional) ID; java.lang.String
- Report: report for storing meta-data; adams.data.report.Report
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 |
The name of the actor.
command-line | -name <java.lang.String> |
default | PredictionCheck |
The annotations to attach to this actor.
command-line | -annotation <adams.core.base.BaseAnnotation> |
default |
|
If set to true, transformation is skipped and the input token is just forwarded as it is.
command-line | -skip <boolean> |
default | false |
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 |
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 |
The prediction check scheme to use.
command-line | -check <adams.flow.transformer.predictioncheck.AbstractPredictionCheck> |
default | adams.flow.transformer.predictioncheck.PassThrough |
If enabled, no copy of the evaluation container is generated before passing it to the check scheme.
command-line | -no-copy <boolean> |
default | false |