Name

adams.flow.transformer.WekaTestSetEvaluator


Synopsis

Evaluates a trained classifier (obtained from input) on the dataset obtained from the callable actor.


Additional information

Flow input/output:
- input: weka.classifiers.Classifier, adams.flow.container.WekaModelContainer
- output: adams.flow.container.WekaEvaluationContainer

Container information:
- adams.flow.container.WekaModelContainer:
   - Model: model object; java.lang.Object
   - Header: dataset header; weka.core.Instances
   - Dataset: full dataset; weka.core.Instances
- 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


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