Package statechum.analysis.learning.observers

Examples of statechum.analysis.learning.observers.AccuracyTrackerDecorator

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      config.setMinCertaintyThreshold(2);
      //config.setAskQuestions(false);
      //config.setKlimit(2);
      //config.setLearnerScoreMode(Configuration.ScoreMode.KTAILS);
      config.setLearnerScoreMode(Configuration.ScoreMode.CONVENTIONAL);
      Learner l = new AccuracyTrackerDecorator(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 valueForNoRestart,
            @SuppressWarnings("unused") List<Boolean> acceptedElements,
            @SuppressWarnings("unused") PairScore pairBeingMerged,
            @SuppressWarnings("unused") final Object [] moreOptions)
        {
          questionNumber.addAndGet(1);
          return new Pair<Integer,String>(graph.paths.tracePathPrefixClosed(question),null);
        }
      }
      , graph);
      sMinus = rpg.getAllSequencesPercentageInterval(1);

      learn(l,sMinus);
      result = result + l.getResult();
    }
View Full Code Here
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      //config.setKlimit(2);
      //config.setLearnerScoreMode(Configuration.ScoreMode.KTAILS);
      config.setLearnerScoreMode(Configuration.ScoreMode.CONVENTIONAL);
      LearnerEvaluationConfiguration evaluationConfiguration = new LearnerEvaluationConfiguration(null,null,config,null,null);
      evaluationConfiguration.setLabelConverter(experiment.getLabelConverter());
      Learner l = new AccuracyTrackerDecorator(new RPNIUniversalLearner(null,evaluationConfiguration)
      {
        @Override
        public Pair<Integer,String> CheckWithEndUser(
            @SuppressWarnings("unused")  LearnerGraph model,
            List<Label> question, @SuppressWarnings("unused") int valueForNoRestart,
            @SuppressWarnings("unused") List<Boolean> acceptedElements,
            @SuppressWarnings("unused") PairScore pairBeingMerged,
            @SuppressWarnings("unused") final Object [] moreOptions)
        {
          questionNumber.addAndGet(1);
          return new Pair<Integer,String>(graph.paths.tracePathPrefixClosed(question),null);
        }
      }
      , graph);
      sMinus = rpg.getAllSequencesPercentageInterval(1);

      learn(l,sMinus);
      result = result + l.getResult();
    }
View Full Code Here
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      config.setMinCertaintyThreshold(2);
      //config.setAskQuestions(false);
      //config.setKlimit(2);
      //config.setLearnerScoreMode(Configuration.ScoreMode.KTAILS);
      config.setLearnerScoreMode(Configuration.ScoreMode.CONVENTIONAL);
      Learner l = new AccuracyTrackerDecorator(new RPNIUniversalLearner(null,new LearnerEvaluationConfiguration(null,null,config,null,null))
      {
        @Override
        public Pair<Integer,String> CheckWithEndUser(
            @SuppressWarnings("unused")  LearnerGraph model,
            List<String> question, @SuppressWarnings("unused") int valueForNoRestart,
            @SuppressWarnings("unused") List<Boolean> acceptedElements,
            @SuppressWarnings("unused") final Object [] moreOptions)
        {
          questionNumber.addAndGet(1);
          return new Pair<Integer,String>(graph.paths.tracePathPrefixClosed(question),null);
        }
      }
      , graph);
      sMinus = rpg.getAllSequencesPercentageInterval(1);

      learn(l,sMinus);
      result = result + l.getResult();
    }
View Full Code Here
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      config.setMinCertaintyThreshold(2);
      //config.setAskQuestions(false);
      //config.setKlimit(2);
      //config.setLearnerScoreMode(Configuration.ScoreMode.KTAILS);
      config.setLearnerScoreMode(Configuration.ScoreMode.CONVENTIONAL);
      Learner l = new AccuracyTrackerDecorator(new RPNIUniversalLearner(null,new LearnerEvaluationConfiguration(null,null,config,null,null))
      {
        @Override
        public Pair<Integer,String> CheckWithEndUser(
            @SuppressWarnings("unused")  LearnerGraph model,
            List<String> question, @SuppressWarnings("unused") int valueForNoRestart,
            @SuppressWarnings("unused") final Object [] moreOptions)
        {
          questionNumber.addAndGet(1);
          return new Pair<Integer,String>(graph.paths.tracePath(question),null);
        }
      }
      , graph);
      sMinus = rpg.getAllSequencesPercentageInterval(1);

      learn(l,sMinus);
      result = result + l.getResult();
    }
View Full Code Here
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      config.setMinCertaintyThreshold(2);
      //config.setAskQuestions(false);
      //config.setKlimit(2);
      //config.setLearnerScoreMode(Configuration.ScoreMode.KTAILS);
      config.setLearnerScoreMode(Configuration.ScoreMode.CONVENTIONAL);
      Learner l = new AccuracyTrackerDecorator(new RPNIUniversalLearner(null,new LearnerEvaluationConfiguration(null,null,config,null,null))
      {
        @Override
        public Pair<Integer,String> CheckWithEndUser(
            @SuppressWarnings("unused")  LearnerGraph model,
            List<String> question, @SuppressWarnings("unused") int valueForNoRestart,
            @SuppressWarnings("unused") List<Boolean> acceptedElements,
            @SuppressWarnings("unused") PairScore pairBeingMerged,
            @SuppressWarnings("unused") final Object [] moreOptions)
        {
          questionNumber.addAndGet(1);
          return new Pair<Integer,String>(graph.paths.tracePathPrefixClosed(question),null);
        }
      }
      , graph);
      sMinus = rpg.getAllSequencesPercentageInterval(1);

      learn(l,sMinus);
      result = result + l.getResult();
    }
View Full Code Here
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Related Classes of statechum.analysis.learning.observers.AccuracyTrackerDecorator

  • statechum.analysis.learning.experiments.IterativeEvaluatorExperiment$IterativeEvaluator
  • statechum.analysis.learning.experiments.PosNegPrecisionRecall
  • statechum.analysis.learning.PrecisionRecall.PosNegPrecisionRecall
  • java.util.Random
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