Package statechum.analysis.learning.PrecisionRecall

Examples of statechum.analysis.learning.PrecisionRecall.ConfusionMatrix.BCR()

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            public void run() {
              for(int choice:SelectionChoices)
              {
                ConfusionMatrix matrix = DiffExperiments.classify(wMethod, graphReference,
                    new RPNIBlueFringe(learnerConfig,choice).learn(collectionOfTraces.get(UAVAllSeeds).tracesForUAVandFrame.get(UAVAllSeeds).get(frame),true));
                uas_outcome.add(new Pair<Integer,String>(frame,"S"),matrix.BCR());
                uas_S.add(frame,matrix.BCR());
              }
            }
           
          };
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              for(int choice:SelectionChoices)
              {
                ConfusionMatrix matrix = DiffExperiments.classify(wMethod, graphReference,
                    new RPNIBlueFringe(learnerConfig,choice).learn(collectionOfTraces.get(UAVAllSeeds).tracesForUAVandFrame.get(UAVAllSeeds).get(frame),true));
                uas_outcome.add(new Pair<Integer,String>(frame,"S"),matrix.BCR());
                uas_S.add(frame,matrix.BCR());
              }
            }
           
          };
          if (threadNumber > 1) outcomes.add(executorService.submit(interactiveRunner));else interactiveRunner.run();
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                for(int choice:SelectionChoices)
                {
                  ConfusionMatrix matrix = DiffExperiments.classify(wMethod, graphReference,
                      new RPNIBlueFringe(learnerConfig,choice).learn(tracesForThisSeed.tracesForUAVandFrame.get(UAVAll).get(frame),true));
                  uas_outcome.add(new Pair<Integer,String>(frame,"A"),matrix.BCR());
                  uas_A.add(frame,matrix.BCR());
                }
              }
             
            };
View Full Code Here
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                for(int choice:SelectionChoices)
                {
                  ConfusionMatrix matrix = DiffExperiments.classify(wMethod, graphReference,
                      new RPNIBlueFringe(learnerConfig,choice).learn(tracesForThisSeed.tracesForUAVandFrame.get(UAVAll).get(frame),true));
                  uas_outcome.add(new Pair<Integer,String>(frame,"A"),matrix.BCR());
                  uas_A.add(frame,matrix.BCR());
                }
              }
             
            };
            if (threadNumber > 1) outcomes.add(executorService.submit(interactiveRunner));else interactiveRunner.run();
View Full Code Here
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                  public void run() {
                    for(int choice:SelectionChoices)
                    {
                      ConfusionMatrix matrix = DiffExperiments.classify(wMethod, graphReference,
                          new RPNIBlueFringe(learnerConfig,choice).learn(collectionOfTraces.get(seed).tracesForUAVandFrame.get(UAV).get(frame),true));
                      uas_outcome.add(new Pair<Integer,String>(frame,"U"),matrix.BCR());
                      uas_U.add(frame,matrix.BCR());
                    }
                  }
                 
                };
View Full Code Here
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                    for(int choice:SelectionChoices)
                    {
                      ConfusionMatrix matrix = DiffExperiments.classify(wMethod, graphReference,
                          new RPNIBlueFringe(learnerConfig,choice).learn(collectionOfTraces.get(seed).tracesForUAVandFrame.get(UAV).get(frame),true));
                      uas_outcome.add(new Pair<Integer,String>(frame,"U"),matrix.BCR());
                      uas_U.add(frame,matrix.BCR());
                    }
                  }
                 
                };
                if (threadNumber > 1) outcomes.add(executorService.submit(interactiveRunner));else interactiveRunner.run();
View Full Code Here
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          public void run() {
            for(int choice:SelectionChoices)
            {
              Configuration tmpConf = learnerConfig.copy();tmpConf.setGeneralisationThreshold(arg);
              ConfusionMatrix matrix = DiffExperiments.classify(wMethod, graphReference,new RPNIBlueFringe(tmpConf,choice).learn(collectionOfTraces.get(UAVAllSeeds).tracesForUAVandFrame.get(UAVAllSeeds).get(maxFrameNumber),false));
              uas_threshold.add(arg, matrix.BCR());
            }
          }
         
        };
        if (threadNumber > 1)
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