Package statechum.analysis.learning

Examples of statechum.analysis.learning.RPNILearner

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    //"B-e->A\nC-e->A\nD-e->A\nE-e->A\nF-e->A\nG-e->A\n","testAutoAnswers0"),Configuration.getDefaultConfiguration()),null);
    Configuration testConfig = Configuration.getDefaultConfiguration().copy();
    testConfig.setGdFailOnDuplicateNames(false);
    testConfig.setLearnerIdMode(IDMode.POSITIVE_NEGATIVE);

    RPNILearner learner = new RPNIUniversalLearner(null,new LearnerEvaluationConfiguration(null,null,testConfig,null,null))
    {
      @Override
      public Pair<Integer,String> CheckWithEndUser(
          @SuppressWarnings("unused")  LearnerGraph model,
          List<String> question, @SuppressWarnings("unused") int responseForNoRestart,
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    final AutoAnswers semiUser = new AutoAnswers(null);
    semiUser.loadAnswers(new StringReader(
        partA
    ));
   
    RPNILearner learner = new RPNIUniversalLearner(null,new LearnerEvaluationConfiguration(null,null,testConfig,null,null))
    {
      @Override
      public Pair<Integer,String> CheckWithEndUser(
          @SuppressWarnings("unused")  LearnerGraph model,
          List<String> question, @SuppressWarnings("unused") int responseForNoRestart,
View Full Code Here
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  {
    Configuration testConfig = Configuration.getDefaultConfiguration().copy();
    testConfig.setGdFailOnDuplicateNames(false);
    testConfig.setLearnerIdMode(IDMode.POSITIVE_NEGATIVE);

    RPNILearner learner = new RPNIUniversalLearner(null,new LearnerEvaluationConfiguration(null,null,testConfig,null,null))
    {
      @Override
      public Pair<Integer,String> CheckWithEndUser(
          @SuppressWarnings("unused")  LearnerGraph model,
          @SuppressWarnings("unused")  List<String> question, @SuppressWarnings("unused") int responseForNoRestart,
View Full Code Here
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      int percentPerChunk = 10;
      int nrPerChunk = size/(100/percentPerChunk);nrPerChunk+=nrPerChunk % 2;// make the number even
      rpg.generatePosNeg(2*nrPerChunk , 100/percentPerChunk);// 2* reflects the fact that nrPerChunk denotes the number of elements in both chunks (positive and negative) combined.  */
      LearnerEvaluationConfiguration evaluationConfiguration = new LearnerEvaluationConfiguration(null,null,config,null,null);
      evaluationConfiguration.setLabelConverter(experiment.getLabelConverter());
      RPNILearner learner = new RPNIUniversalLearner(null,evaluationConfiguration)
      {
        @Override
        public Pair<Integer,String> CheckWithEndUser(
            @SuppressWarnings("unused")  LearnerGraph model,
            List<Label> question, @SuppressWarnings("unused") int valueForNoRestart,
View Full Code Here
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      int percentPerChunk = 10;
      int nrPerChunk = size/(100/percentPerChunk);nrPerChunk+=nrPerChunk % 2;// make the number even
      rpg.generatePosNeg(2*nrPerChunk , 100/percentPerChunk);// 2* reflects the fact that nrPerChunk denotes the number of elements in both chunks (positive and negative) combined.  */
      LearnerEvaluationConfiguration evaluationConfiguration = new LearnerEvaluationConfiguration(null,null,config,null,null);
      evaluationConfiguration.setLabelConverter(experiment.getLabelConverter());
      RPNILearner learner = new RPNIUniversalLearner(null,evaluationConfiguration)
      {
        @Override
        public Pair<Integer,String> CheckWithEndUser(
            @SuppressWarnings("unused")  LearnerGraph model,
            List<Label> question, @SuppressWarnings("unused") int valueForNoRestart,
View Full Code Here
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    //Visualiser.updateFrame(new LearnerGraph(FsmParser.buildGraph("A-e->A-c->B-b->C-p->G-e->A\nB-a->D-a->E-a->D\nE-b->F-p->G\n"+
    //"B-e->A\nC-e->A\nD-e->A\nE-e->A\nF-e->A\nG-e->A\n","testAutoAnswers0"),Configuration.getDefaultConfiguration()),null);
    config.setGdFailOnDuplicateNames(false);
    config.setLearnerIdMode(IDMode.POSITIVE_NEGATIVE);

    RPNILearner learner = new RPNIUniversalLearner(null,new LearnerEvaluationConfiguration(null,null,config,null,null))
    {
      @Override
      public Pair<Integer,String> CheckWithEndUser(
          @SuppressWarnings("unused")  LearnerGraph model,
          List<Label> question, @SuppressWarnings("unused") int responseForNoRestart,
View Full Code Here
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    final AutoAnswers semiUser = new AutoAnswers(null);
    semiUser.loadAnswers(new StringReader(
        partA
    ),config);
   
    RPNILearner learner = new RPNIUniversalLearner(null,new LearnerEvaluationConfiguration(null,null,config,null,null))
    {
      @Override
      public Pair<Integer,String> CheckWithEndUser(
          @SuppressWarnings("unused")  LearnerGraph model,
          List<Label> question, @SuppressWarnings("unused") int responseForNoRestart,
View Full Code Here
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  public void testAuto2()
  {
    config.setGdFailOnDuplicateNames(false);
    config.setLearnerIdMode(IDMode.POSITIVE_NEGATIVE);

    RPNILearner learner = new RPNIUniversalLearner(null,new LearnerEvaluationConfiguration(null,null,config,null,null))
    {
      @Override
      public Pair<Integer,String> CheckWithEndUser(
          @SuppressWarnings("unused")  LearnerGraph model,
          @SuppressWarnings("unused")  List<Label> question, @SuppressWarnings("unused") int responseForNoRestart,
View Full Code Here
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  public void testAuto3()
  {
    config.setGdFailOnDuplicateNames(false);
    config.setLearnerIdMode(IDMode.POSITIVE_NEGATIVE);

    RPNILearner learner = new RPNIUniversalLearner(null,new LearnerEvaluationConfiguration(null,null,config,null,null))
    {
      @Override
      public Pair<Integer,String> CheckWithEndUser(
          @SuppressWarnings("unused")  LearnerGraph model,
          @SuppressWarnings("unused")  List<Label> question, @SuppressWarnings("unused") int responseForNoRestart,
View Full Code Here
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  public void testAuto4()
  {
    config.setGdFailOnDuplicateNames(false);
    config.setLearnerIdMode(IDMode.POSITIVE_NEGATIVE);

    RPNILearner learner = new RPNIUniversalLearner(null,new LearnerEvaluationConfiguration(null,null,config,null,null))
    {
      @Override
      public Pair<Integer,String> CheckWithEndUser(
          @SuppressWarnings("unused")  LearnerGraph model,
          @SuppressWarnings("unused")  List<Label> question, @SuppressWarnings("unused") int responseForNoRestart,
View Full Code Here
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Related Classes of statechum.analysis.learning.RPNILearner

  • edu.uci.ics.jung.graph.impl.DirectedSparseGraph
  • statechum.analysis.CodeCoverage.CodeCoverageMap
  • statechum.analysis.learning.experiments.IncrementalAccuracyAndQuestionsExperiment$RPNIEvaluator
  • statechum.analysis.learning.observers.TestAutoAnswers
  • statechum.analysis.learning.Visualiser.LayoutOptions
  • statechum.DeterministicDirectedSparseGraph.CmpVertex
  • statechum.DeterministicDirectedSparseGraph.DeterministicVertex
  • statechum.Trace
  • javax.swing.event.ListSelectionListener
  • java.awt.event.WindowAdapter
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