Package statechum.analysis.learning.experiments.PairSelection.PairQualityLearner

Examples of statechum.analysis.learning.experiments.PairSelection.PairQualityLearner.SampleData


          int genScore = actualAutomaton.pairscores.computePairCompatibilityScore_general(null, constructPairsToMergeBasedOnSetsToMerge(actualAutomaton.transitionMatrix.keySet(),verticesToMergeBasedOnInitialPTA), verticesToMerge);
          assert genScore >= 0;
          actualAutomaton = MergeStates.mergeCollectionOfVertices(actualAutomaton, null, verticesToMerge);
        }     
       
        SampleData dataSample = new SampleData(null,null);
        //dataSample.difference = new DifferenceToReferenceDiff(0, 0);
        //dataSample.differenceForReferenceLearner = new DifferenceToReferenceDiff(0, 0);
        long inconsistencyActual = MarkovClassifier.computeInconsistency(actualAutomaton, m, checker,false);
       
        VertID rejectVertexID = null;
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          int genScore = actualAutomaton.pairscores.computePairCompatibilityScore_general(null, constructPairsToMergeBasedOnSetsToMerge(actualAutomaton.transitionMatrix.keySet(),verticesToMergeBasedOnInitialPTA), verticesToMerge);
          assert genScore >= 0;
          actualAutomaton = MergeStates.mergeCollectionOfVertices(actualAutomaton, null, verticesToMerge);
        }     
       
        SampleData dataSample = new SampleData(null,null);
        //dataSample.difference = new DifferenceToReferenceDiff(0, 0);
        //dataSample.differenceForReferenceLearner = new DifferenceToReferenceDiff(0, 0);
        long inconsistencyActual = MarkovClassifier.computeInconsistency(actualAutomaton, m, checker,false);
       
        VertID rejectVertexID = null;
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