adams.flow.transformer.MOAClassifierEvaluation
Evaluates a MOA classifier using prequential evaluation. With each incoming instance, the classifier is first evaluated, then trained.
Flow input/output:
- input: com.yahoo.labs.samoa.instances.Instance, com.yahoo.labs.samoa.instances.Instances
- output: moa.core.Measurement[]
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 | MOAClassifierEvaluation |
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 name of the callable MOA classifier to train/evaluate.
command-line | -classifier <adams.flow.core.CallableActorReference> |
default | MOAClassifier |
The MOA evaluator to use for evaluating a trained MOA classifier.
command-line | -evaluator <moa.options.ClassOption> |
default | BasicClassificationPerformanceEvaluator |
The number of tokens to skip before evaluating the classifier stored in the token (only used when receiving Instance objects).
command-line | -output-interval <int> |
default | 1 |
minimum | 1 |