Examples of DummyLearner

Examples of statechum.analysis.learning.observers.DummyLearner

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    final LearnerEvaluationConfiguration bfLearnerInitConfiguration = new LearnerEvaluationConfiguration(evaluationConfiguration.config);
    bfLearnerInitConfiguration.ifthenSequences = evaluationConfiguration.ifthenSequences;
    bfLearnerInitConfiguration.setLabelConverter(evaluationConfiguration.getLabelConverter());
    config = bfLearnerInitConfiguration.config;// our config is a copy of the one supplied as an argument.
    config.setAskQuestions(false);
    learner = new DummyLearner(new RPNIUniversalLearner(null, bfLearnerInitConfiguration))
    {
     
      @Override
      public LearnerGraph MergeAndDeterminize(LearnerGraph original, StatePair pair)
      {
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Examples of statechum.analysis.learning.observers.DummyLearner

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    final LearnerGraph referenceA = new LearnerGraph(paper.learnerInitConfiguration.config);AbstractPersistence.loadGraph(outcomeName, referenceA, converter);
    final PairQualityLearner qualityLearner = new PairQualityLearner();
    qualityLearner.initWeka("wekaoutput2.arff",PairQualityLearner.largePTAFileName);
   
   
    new DummyLearner(new RPNIUniversalLearner(null, paper.learnerInitConfiguration))
    {
     
      @Override
      public LearnerGraph MergeAndDeterminize(LearnerGraph original, StatePair pair)
      {// fast merger
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Examples of statechum.analysis.learning.observers.DummyLearner

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    public RPNIVariabilityExperiment(int choice)
    {
      learnerInitConfiguration.config.setGeneralisationThreshold(0);learnerInitConfiguration.config.setAskQuestions(false);pairChoice=choice;
      if (choice == pairchoiceMAX || choice == pairchoiceMIN) rnd = null;else rnd = new Random(choice);
     
      learner = new DummyLearner(new RPNIUniversalLearner(null, learnerInitConfiguration))
      {
        @Override
        public LearnerGraph MergeAndDeterminize(LearnerGraph original, StatePair pair)
        {// Use the old and limited version to compute the merge because the general one is too slow on large graphs and we do not need either to merge arbitrary states or to handle "incompatibles".
          return super.MergeAndDeterminize(original, pair);
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Examples of statechum.analysis.learning.observers.DummyLearner

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      listOfPairsToWrite = lw;useOptimizedMerge = optimisedMerge;
      if (lc != null) listOfPairsToCheckAgainstIterator = lc.iterator();else listOfPairsToCheckAgainstIterator = null;
      final LearnerEvaluationConfiguration bfLearnerInitConfiguration = new LearnerEvaluationConfiguration(conf);bfLearnerInitConfiguration.ifthenSequences = PaperUAS.this.learnerInitConfiguration.ifthenSequences;
      config = bfLearnerInitConfiguration.config;// our config is a copy of the one supplied as an argument.
      config.setAskQuestions(false);
      learner = new DummyLearner(new RPNIUniversalLearner(null, bfLearnerInitConfiguration))
      {
        @Override
        public LearnerGraph MergeAndDeterminize(LearnerGraph original, StatePair pair)
        {
          if (useOptimizedMerge)
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Examples of statechum.analysis.learning.observers.DummyLearner

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    final LearnerEvaluationConfiguration bfLearnerInitConfiguration = new LearnerEvaluationConfiguration(evaluationConfiguration.config);
    bfLearnerInitConfiguration.ifthenSequences = evaluationConfiguration.ifthenSequences;
    bfLearnerInitConfiguration.setLabelConverter(evaluationConfiguration.getLabelConverter());
    config = bfLearnerInitConfiguration.config;// our config is a copy of the one supplied as an argument.
    config.setAskQuestions(false);
    learner = new DummyLearner(new RPNIUniversalLearner(null, bfLearnerInitConfiguration))
    {
     
      @Override
      public LearnerGraph MergeAndDeterminize(LearnerGraph original, StatePair pair)
      {
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Examples of statechum.analysis.learning.observers.DummyLearner

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      final LearnerEvaluationConfiguration bfLearnerInitConfiguration = new LearnerEvaluationConfiguration(evaluationConfiguration.config);
      bfLearnerInitConfiguration.ifthenSequences = evaluationConfiguration.ifthenSequences;
      bfLearnerInitConfiguration.setLabelConverter(evaluationConfiguration.getLabelConverter());
      config = bfLearnerInitConfiguration.config;// our config is a copy of the one supplied as an argument.
      config.setAskQuestions(false);
      learner = new DummyLearner(new RPNIUniversalLearner(null, bfLearnerInitConfiguration))
      {
       
        @Override
        public LearnerGraph MergeAndDeterminize(LearnerGraph original, StatePair pair)
        {
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Examples of statechum.analysis.learning.observers.DummyLearner

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      final LearnerEvaluationConfiguration bfLearnerInitConfiguration = new LearnerEvaluationConfiguration(conf);bfLearnerInitConfiguration.ifthenSequences = PaperUAS.this.learnerInitConfiguration.ifthenSequences;
      config = bfLearnerInitConfiguration.config;// our config is a copy of the one supplied as an argument.
      config.setAskQuestions(false);
      if (choice == pairchoiceMAX || choice == pairchoiceMIN) rnd = null;else rnd = new Random(choice);
     
      learner = new DummyLearner(new RPNIUniversalLearner(null, bfLearnerInitConfiguration))
      {
        @Override
        public LearnerGraph MergeAndDeterminize(LearnerGraph original, StatePair pair)
        {// Use the old and limited version to compute the merge because the general one is too slow on large graphs and we do not need either to merge arbitrary states or to handle "incompatibles".
          return MergeStates.mergeAndDeterminize(original, pair);
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Examples of statechum.analysis.learning.observers.DummyLearner

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      if (lc != null) listOfPairsToCheckAgainstIterator = lc.iterator();else listOfPairsToCheckAgainstIterator = null;
      final LearnerEvaluationConfiguration bfLearnerInitConfiguration = new LearnerEvaluationConfiguration(conf);bfLearnerInitConfiguration.ifthenSequences = PaperUAS.this.learnerInitConfiguration.ifthenSequences;
      bfLearnerInitConfiguration.setLabelConverter(PaperUAS.this.learnerInitConfiguration.getLabelConverter());
      config = bfLearnerInitConfiguration.config;// our config is a copy of the one supplied as an argument.
      config.setAskQuestions(false);
      learner = new DummyLearner(new RPNIUniversalLearner(null, bfLearnerInitConfiguration))
      {
       
        @Override
        public LearnerGraph MergeAndDeterminize(LearnerGraph original, StatePair pair)
        {
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Examples of statechum.analysis.learning.observers.DummyLearner

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      final LearnerEvaluationConfiguration bfLearnerInitConfiguration = new LearnerEvaluationConfiguration(conf);bfLearnerInitConfiguration.ifthenSequences = PaperUAS.this.learnerInitConfiguration.ifthenSequences;
      config = bfLearnerInitConfiguration.config;// our config is a copy of the one supplied as an argument.
      config.setAskQuestions(false);
      if (choice == pairchoiceMAX || choice == pairchoiceMIN) rnd = null;else rnd = new Random(choice);
     
      learner = new DummyLearner(new RPNIUniversalLearner(null, bfLearnerInitConfiguration))
      {
        @Override
        public LearnerGraph MergeAndDeterminize(LearnerGraph original, StatePair pair)
        {// Use the old and limited version to compute the merge because the general one is too slow on large graphs and we do not need either to merge arbitrary states or to handle "incompatibles".
          return MergeStates.mergeAndDeterminize(original, pair);
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Examples of statechum.analysis.learning.observers.DummyLearner

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      if (lc != null) listOfPairsToCheckAgainstIterator = lc.iterator();else listOfPairsToCheckAgainstIterator = null;
      final LearnerEvaluationConfiguration bfLearnerInitConfiguration = new LearnerEvaluationConfiguration(conf);bfLearnerInitConfiguration.ifthenSequences = PaperUAS.this.learnerInitConfiguration.ifthenSequences;
      bfLearnerInitConfiguration.setLabelConverter(PaperUAS.this.learnerInitConfiguration.getLabelConverter());
      config = bfLearnerInitConfiguration.config;// our config is a copy of the one supplied as an argument.
      config.setAskQuestions(false);
      learner = new DummyLearner(new RPNIUniversalLearner(null, bfLearnerInitConfiguration))
      {
       
        @Override
        public LearnerGraph MergeAndDeterminize(LearnerGraph original, StatePair pair)
        {
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