Package statechum.analysis.learning.experiments.PaperUAS.TracesForSeed

Examples of statechum.analysis.learning.experiments.PaperUAS.TracesForSeed.Automaton

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  public LearnerGraph learn(PTASequenceEngine engineArg, boolean useNegatives)
  {
    PTASequenceEngine engine = null;
    if (!useNegatives)
    {
      PTASequenceEngine positives = new PTASequenceEngine();positives.init(new Automaton());
      SequenceSet initSeq = positives.new SequenceSet();initSeq.setIdentity();
      initSeq.cross(engineArg.getData());
      engine = positives;
    }
    else
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          {
            PTASequenceEngine traceDetailsUAV = outcomeUAV.get(frame);
            if (traceDetailsUAV == null)
            {
              traceDetailsUAV = new PTASequenceEngine(learnerInitConfiguration.config.getTransitionMatrixImplType() == STATETREE.STATETREE_ARRAY);
              traceDetailsUAV.init(new Automaton());
              outcomeUAV.put(frame, traceDetailsUAV);
            }
           
            if (traces.containsKey(uav))
            {
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          {
            PTASequenceEngine traceDetailsUAV = outcomeUAV.get(frame);
            if (traceDetailsUAV == null)
            {
              traceDetailsUAV = new PTASequenceEngine();
              traceDetailsUAV.init(new Automaton());
              outcomeUAV.put(frame, traceDetailsUAV);
            }
           
            if (traces.containsKey(uav))
            {
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    public LearnerGraph learn(PTASequenceEngine engineArg, boolean useNegatives)
    {
      PTASequenceEngine engine = null;
      if (!useNegatives)
      {
        PTASequenceEngine positives = new PTASequenceEngine();positives.init(new Automaton());
          SequenceSet initSeq = positives.new SequenceSet();initSeq.setIdentity();
          initSeq.cross(engineArg.getData());
          engine = positives;
      }
      else
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  public LearnerGraph learn(PTASequenceEngine engineArg, boolean useNegatives)
  {
    PTASequenceEngine engine = null;
    if (!useNegatives)
    {
      PTASequenceEngine positives = new PTASequenceEngine();positives.init(new Automaton());
      SequenceSet initSeq = positives.new SequenceSet();initSeq.setIdentity();
      initSeq.cross(engineArg.getData());
      engine = positives;
    }
    else
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          {
            PTASequenceEngine traceDetailsUAV = outcomeUAV.get(frame);
            if (traceDetailsUAV == null)
            {
              traceDetailsUAV = new PTASequenceEngine(learnerInitConfiguration.config.getTransitionMatrixImplType() == STATETREE.STATETREE_ARRAY);
              traceDetailsUAV.init(new Automaton());
              outcomeUAV.put(frame, traceDetailsUAV);
            }
           
            if (traces.containsKey(uav))
            {
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    public LearnerGraph learn(PTASequenceEngine engineArg, boolean useNegatives)
    {
      PTASequenceEngine engine = null;
      if (!useNegatives)
      {
        PTASequenceEngine positives = new PTASequenceEngine();positives.init(new Automaton());
          SequenceSet initSeq = positives.new SequenceSet();initSeq.setIdentity();
          initSeq.cross(engineArg.getData());
          engine = positives;
      }
      else
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          {
            PTASequenceEngine traceDetailsUAV = outcomeUAV.get(frame);
            if (traceDetailsUAV == null)
            {
              traceDetailsUAV = new PTASequenceEngine(true);
              traceDetailsUAV.init(new Automaton());
              outcomeUAV.put(frame, traceDetailsUAV);
            }
           
            if (traces.containsKey(uav))
            {
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    public LearnerGraph learn(final PTASequenceEngine engineArg, boolean useNegatives)
    {
      PTASequenceEngine engine = null;
      if (!useNegatives)
      {
        PTASequenceEngine positives = new PTASequenceEngine();positives.init(new Automaton());
          SequenceSet initSeq = positives.new SequenceSet();initSeq.setIdentity();
          initSeq.cross(engineArg.getData());
          engine = positives;
      }
      else
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    public LearnerGraph learn(PTASequenceEngine engineArg, boolean useNegatives)
    {
      PTASequenceEngine engine = null;
      if (!useNegatives)
      {
        PTASequenceEngine positives = new PTASequenceEngine();positives.init(new Automaton());
          SequenceSet initSeq = positives.new SequenceSet();initSeq.setIdentity();
          initSeq.cross(engineArg.getData());
          engine = positives;
      }
      else
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Related Classes of statechum.analysis.learning.experiments.PaperUAS.TracesForSeed.Automaton

  • statechum.analysis.learning.experiments.PaperUAS
  • statechum.analysis.learning.experiments.PaperUAS$RPNIBlueFringe
  • statechum.analysis.learning.experiments.PaperUAS$RPNIBlueFringeTestVariability
  • statechum.analysis.learning.RPNIBlueFringeVariability
  • statechum.analysis.learning.TestLearnerFromLargePTA$RPNIBlueFringeTestVariability
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