Package statechum.analysis.learning.experiments.PairSelection

Examples of statechum.analysis.learning.experiments.PairSelection.Cav2014$EvaluationOfExisingLearnerRunner


   
    new MarkovClassifier(m, pta).updateMarkov(false);
    LearnerEvaluationConfiguration learnerEval = new LearnerEvaluationConfiguration(config);learnerEval.setLabelConverter(converter);
    LearnerMarkovPassive learnerOfPairs = new LearnerMarkovPassive(learnerEval,null,pta);learnerOfPairs.setMarkovModel(m);

    learnerOfPairs.setScoreComputationOverride(new RedPriorityOverBluePairSelectionRoutine(m));
    System.out.println("PTA states: "+pta.getStateNumber());
    System.out.println("Alphabet of "+pta.getCache().getAlphabet().size()+" : "+pta.getCache().getAlphabet());

    final Configuration deepCopy = pta.config.copy();deepCopy.setLearnerCloneGraph(true);
    LearnerGraph ptaCopy = new LearnerGraph(deepCopy);LearnerGraph.copyGraphs(pta, ptaCopy);
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    new MarkovClassifier(m, pta).updateMarkov(false);
    LearnerEvaluationConfiguration learnerEval = new LearnerEvaluationConfiguration(config);learnerEval.setLabelConverter(converter);
    LearnerMarkovPassive learnerOfPairs = new LearnerMarkovPassive(learnerEval,null,pta);learnerOfPairs.setMarkovModel(m);

    learnerOfPairs.setScoreComputationOverride(new RedPriorityOverBluePairSelectionRoutine(m));
    System.out.println("PTA states: "+pta.getStateNumber());
    System.out.println("Alphabet of "+pta.getCache().getAlphabet().size()+" : "+pta.getCache().getAlphabet());

    final Configuration deepCopy = pta.config.copy();deepCopy.setLearnerCloneGraph(true);
    LearnerGraph ptaCopy = new LearnerGraph(deepCopy);LearnerGraph.copyGraphs(pta, ptaCopy);
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