List of crossWith() Examples

Examples of crossWith()

statechum.model.testset.PTA_computePrecisionRecall.crossWith()
Calculates precision/recall when supplied with a specific set of sequences (such as a test set, backed by an FSM). When we record sequences, non-existing transitions at the ends are recorded too, however if we have a long non-existing path, only the first non-existing transition is being recorded. This is in compliance with the training data which only has one non-existing transition at the end of every non-existing path (by construction, we do not build long paths with multiple non-existing transitions). @param pc the set of sequences.

Examples of statechum.model.testset.PTA_computePrecisionRecall.crossWith()

    SequenceSet partialPTA = engine.new SequenceSet();partialPTA.setIdentity();
    partialPTA = partialPTA.cross(TestFSMAlgo.buildSet(new String[][] {
        new String[] {"a","b","b","c","c","c","c"}, // +
      },mainConfiguration,converter));
    PTA_computePrecisionRecall precComputer = new PTA_computePrecisionRecall(fsm);
    precComputer.crossWith(engine);


    engine = new PTA_FSMStructure(mach,null);
    partialPTA = engine.new SequenceSet();partialPTA.setIdentity();
    partialPTA = partialPTA.cross(TestFSMAlgo.buildSet(new String[][] {
        new String[] {"a","b","b","c","c"}, // +, FN

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Examples of statechum.model.testset.PTA_computePrecisionRecall.crossWith()

      sPlus = rpg.getExtraSequences(percent/10-1);sMinus = rpg.getAllSequences(percent/10-1);


      LearnerGraph learnt = learn(l,sMinus);
      PTA_computePrecisionRecall precRec = new PTA_computePrecisionRecall(learnt);
      PTASequenceEngine engine = new PTA_FSMStructure(graph,null);
      precRec.crossWith(sMinus);PosNegPrecisionRecall ptaPR = precRec.getPosNegPrecisionRecallNum(); 
      SequenceSet ptaTestSet = engine.new SequenceSet();ptaTestSet.setIdentity();
      ptaTestSet = ptaTestSet.cross(graph.wmethod.getFullTestSet(1));
      precRec.crossWith(engine);PosNegPrecisionRecall prNeg = precRec.getPosNegPrecisionRecallNum(); 
      
      assert questionNumber.get() == l.getQuestionCounter();

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Examples of statechum.model.testset.PTA_computePrecisionRecall.crossWith()

      PTA_computePrecisionRecall precRec = new PTA_computePrecisionRecall(learnt);
      PTASequenceEngine engine = new PTA_FSMStructure(graph,null);
      precRec.crossWith(sMinus);PosNegPrecisionRecall ptaPR = precRec.getPosNegPrecisionRecallNum(); 
      SequenceSet ptaTestSet = engine.new SequenceSet();ptaTestSet.setIdentity();
      ptaTestSet = ptaTestSet.cross(graph.wmethod.getFullTestSet(1));
      precRec.crossWith(engine);PosNegPrecisionRecall prNeg = precRec.getPosNegPrecisionRecallNum(); 
      
      assert questionNumber.get() == l.getQuestionCounter();
      
      // Column 0 is the name of the learner. 
      // Columns 3 and 4

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Examples of statechum.model.testset.PTA_computePrecisionRecall.crossWith()

    */
    PTA_computePrecisionRecall precRec = null;
    
    {
      precRec = new PTA_computePrecisionRecall(markovD);
      precRec.crossWith(generator.getAllSequences(0));PosNegPrecisionRecall result = precRec.getPosNegPrecisionRecallNum(); 
      System.out.println("Markov: precision "+result.getPosprecision()+" recall: "+result.getPosrecall());
    }


    {
      precRec = new PTA_computePrecisionRecall(edsm);

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Examples of statechum.model.testset.PTA_computePrecisionRecall.crossWith()

      System.out.println("Markov: precision "+result.getPosprecision()+" recall: "+result.getPosrecall());
    }


    {
      precRec = new PTA_computePrecisionRecall(edsm);
      precRec.crossWith(generator.getAllSequences(0));PosNegPrecisionRecall result = precRec.getPosNegPrecisionRecallNum(); 
      System.out.println("EDSM: precision "+result.getPosprecision()+" recall: "+result.getPosrecall());
    }
    
    //Visualiser.updateFrame(edsm, null);
    //Visualiser.waitForKey();

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Examples of statechum.model.testset.PTA_computePrecisionRecall.crossWith()

    */
    PTA_computePrecisionRecall precRec = null;
    
    {
      precRec = new PTA_computePrecisionRecall(markovD);
      precRec.crossWith(generator.getAllSequences(0));PosNegPrecisionRecall result = precRec.getPosNegPrecisionRecallNum(); 
      System.out.println("Markov: precision "+result.getPosprecision()+" recall: "+result.getPosrecall());
    }


    {
      precRec = new PTA_computePrecisionRecall(edsm);

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Examples of statechum.model.testset.PTA_computePrecisionRecall.crossWith()

      System.out.println("Markov: precision "+result.getPosprecision()+" recall: "+result.getPosrecall());
    }


    {
      precRec = new PTA_computePrecisionRecall(edsm);
      precRec.crossWith(generator.getAllSequences(0));PosNegPrecisionRecall result = precRec.getPosNegPrecisionRecallNum(); 
      System.out.println("EDSM: precision "+result.getPosprecision()+" recall: "+result.getPosrecall());
    }
    
    //Visualiser.updateFrame(edsm, null);
    //Visualiser.waitForKey();

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Examples of statechum.model.testset.PTA_computePrecisionRecall.crossWith()

      sPlus = rpg.getExtraSequences(percent/10-1);sMinus = rpg.getAllSequences(percent/10-1);


      LearnerGraph learnt = learn(l,sMinus);
      PTA_computePrecisionRecall precRec = new PTA_computePrecisionRecall(learnt);
      PTASequenceEngine engine = new PTA_FSMStructure(graph,null);
      precRec.crossWith(sMinus);PosNegPrecisionRecall ptaPR = precRec.getPosNegPrecisionRecallNum(); 
      SequenceSet ptaTestSet = engine.new SequenceSet();ptaTestSet.setIdentity();
      ptaTestSet = ptaTestSet.cross(graph.wmethod.getFullTestSet(1));
      precRec.crossWith(engine);PosNegPrecisionRecall prNeg = precRec.getPosNegPrecisionRecallNum(); 
      
      assert questionNumber.get() == l.getQuestionCounter();

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Examples of statechum.model.testset.PTA_computePrecisionRecall.crossWith()

      PTA_computePrecisionRecall precRec = new PTA_computePrecisionRecall(learnt);
      PTASequenceEngine engine = new PTA_FSMStructure(graph,null);
      precRec.crossWith(sMinus);PosNegPrecisionRecall ptaPR = precRec.getPosNegPrecisionRecallNum(); 
      SequenceSet ptaTestSet = engine.new SequenceSet();ptaTestSet.setIdentity();
      ptaTestSet = ptaTestSet.cross(graph.wmethod.getFullTestSet(1));
      precRec.crossWith(engine);PosNegPrecisionRecall prNeg = precRec.getPosNegPrecisionRecallNum(); 
      
      assert questionNumber.get() == l.getQuestionCounter();
      
      // Column 0 is the name of the learner. 
      // Columns 3 and 4

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Examples of statechum.model.testset.PTA_computePrecisionRecall.crossWith()

        */
        
        double bcrA = 0., bcrB= 0.;
        {
          PTA_computePrecisionRecall precRec = new PTA_computePrecisionRecall(stateToCorrespondingGraph.get(stateA).graph);
          if (testSequencesB != null) precRec.crossWith(testSequencesB);
          bcrA=precRec.getBCR();
        }
        {
          PTA_computePrecisionRecall precRec = new PTA_computePrecisionRecall(stateToCorrespondingGraph.get(stateB).graph);
          if (testSequencesA != null) precRec.crossWith(testSequencesA);

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