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

Class statechum.model.testset.PTA_computePrecisionRecall

Examples of statechum.model.testset.PTA_computePrecisionRecall.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.

        new String[] {"a","a","a","a","a","b","c"}, // +
        new String[] {"a","b"}, // +
        new String[] {"a","a","a","b","c"}, // +
      },config));
    PTA_computePrecisionRecall precComputer = new PTA_computePrecisionRecall(fsm);
    precComputer.crossWith(engine);
    assertEquals("true negatives",0, precComputer.resultTN);assertEquals("true positives",3, precComputer.resultTP);
    assertEquals("false negatives",0, precComputer.resultFN);assertEquals("false positives",0, precComputer.resultFP);
    assertEquals("positives relevant",3, precComputer.pos_Rel);assertEquals("negatives relevant",0, precComputer.neg_Rel);
    assertEquals("positives retrieved",3, precComputer.pos_Ret);assertEquals("negatives retrieved",0, precComputer.neg_Ret);
  }

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    SequenceSet partialPTA = engine.new SequenceSet();partialPTA.setIdentity();
    partialPTA = partialPTA.cross(TestFSMAlgo.buildSet(new String[][] {
        new String[] {"a"}, // +
      },config));
    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

View Full Code Here

    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
      },config));
    precComputer.crossWith(engine);
    assertEquals("true negatives",0, precComputer.resultTN);assertEquals("true positives",0, precComputer.resultTP);
    assertEquals("false negatives",1, precComputer.resultFN);assertEquals("false positives",0, precComputer.resultFP);
    assertEquals("positives relevant",1, precComputer.pos_Rel);assertEquals("negatives relevant",0, precComputer.neg_Rel);
    assertEquals("positives retrieved",0, precComputer.pos_Ret);assertEquals("negatives retrieved",1, precComputer.neg_Ret);
  }

View Full Code Here

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

View Full Code Here

    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
      },config));
    precComputer.crossWith(engine);
    assertEquals("true negatives",0, precComputer.resultTN);assertEquals("true positives",0, precComputer.resultTP);
    assertEquals("false negatives",0, precComputer.resultFN);assertEquals("false positives",0, precComputer.resultFP);
    assertEquals("positives relevant",0, precComputer.pos_Rel);assertEquals("negatives relevant",0, precComputer.neg_Rel);
    assertEquals("positives retrieved",0, precComputer.pos_Ret);assertEquals("negatives retrieved",0, precComputer.neg_Ret);
  }

View Full Code Here

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

View Full Code Here

    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
      },config));
    precComputer.crossWith(engine);
    assertEquals("true negatives",0, precComputer.resultTN);assertEquals("true positives",0, precComputer.resultTP);
    assertEquals("false negatives",1, precComputer.resultFN);assertEquals("false positives",0, precComputer.resultFP);
    assertEquals("positives relevant",1, precComputer.pos_Rel);assertEquals("negatives relevant",0, precComputer.neg_Rel);
    assertEquals("positives retrieved",0, precComputer.pos_Ret);assertEquals("negatives retrieved",1, precComputer.neg_Ret);
  }

View Full Code Here

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

View Full Code Here

    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
      },config));
    precComputer.crossWith(engine);
    assertEquals("true negatives",0, precComputer.resultTN);assertEquals("true positives",0, precComputer.resultTP);
    assertEquals("false negatives",1, precComputer.resultFN);assertEquals("false positives",0, precComputer.resultFP);
    assertEquals("positives relevant",1, precComputer.pos_Rel);assertEquals("negatives relevant",0, precComputer.neg_Rel);
    assertEquals("positives retrieved",0, precComputer.pos_Ret);assertEquals("negatives retrieved",1, precComputer.neg_Ret);
  }

View Full Code Here

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

View Full Code Here

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