List of learnMachine() Examples

Examples of learnMachine()

statechum.analysis.learning.ErlangOracleLearner.learnMachine()
statechum.analysis.learning.Learner.learnMachine()
Learns the machine. When different learning events occur, the learner calls its listeners (which are the decorators); these listeners are given a chance to inspect the arguments, do something and pass the call further or not pass. At the bottom level, there is default processing performed by the learner itself.
For internal use only. @param topLevelDecorator the first listener in a chain of them.
statechum.analysis.learning.RPNIBlueFringeLearnerTestComponentOpt.learnMachine()
statechum.analysis.learning.RPNIUniversalLearner.learnMachine()
statechum.analysis.learning.experiments.PairSelection.ASE2014.EDSM_MarkovLearner.learnMachine()
statechum.analysis.learning.experiments.PairSelection.Cav2014.KTailsReferenceLearner.learnMachine()
statechum.analysis.learning.experiments.PairSelection.Cav2014.LearnerMarkovPassive.learnMachine()
statechum.analysis.learning.experiments.PairSelection.PairQualityLearner.LearnerThatCanClassifyPairs.learnMachine()
statechum.analysis.learning.experiments.PairSelection.PairQualityLearner.ReferenceLearner.learnMachine()
statechum.analysis.learning.observers.AutoAnswers.learnMachine()
statechum.analysis.learning.observers.Learner.learnMachine()
Learns the machine. When different learning events occur, the learner calls its listeners (which are the decorators); these listeners are given a chance to inspect the arguments, do something and pass the call further or not pass. At the bottom level, there is default processing performed by the learner itself.
For internal use only. @param topLevelDecorator the first listener in a chain of them.
statechum.analysis.learning.observers.LearningConvergenceObserver.learnMachine()
statechum.analysis.learning.observers.QuestionAndRestartCounter.learnMachine()
statechum.analysis.learning.observers.RecordProgressDecorator.learnMachine()

Examples of statechum.analysis.learning.Learner.learnMachine()

    //l.setCertaintyThreshold(5);
    testConfig.setLearnerIdMode(IDMode.POSITIVE_NEGATIVE);
    LearnerGraph learntStructureA = new LearnerGraph(l.learnMachine(buildSet(plus,testConfig,getLabelConverter()), buildSet(minus,testConfig,getLabelConverter())),expected.config);
    // Now do the same with ptasets instead of real sets
    PTASequenceSet plusPTA = new PTASequenceSet();plusPTA.addAll(buildSet(plus,testConfig,getLabelConverter()));PTASequenceSet minusPTA = new PTASequenceSet();minusPTA.addAll(buildSet(minus,testConfig,getLabelConverter()));
    LearnerGraph learntStructureB = new LearnerGraph(l.learnMachine(plusPTA, minusPTA),expected.config);
    Assert.assertNull(WMethod.checkM(learntStructureA, learntStructureB));
    LearnerGraph learntMachineNoRejects = new LearnerGraph(expected.config);
    AbstractPathRoutines.removeRejectStates(learntStructureA,learntMachineNoRejects);
    /*
    if (null != WMethod.checkM(learntMachineNoRejects, expected))

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Examples of statechum.analysis.learning.Learner.learnMachine()

        innerLearner.addObserver(PickNegativesVisualiser.this);
        Learner mainDecorator = new AutoAnswers(innerLearner);
        if (conf.labelDetails != null)
          mainDecorator = new SmtLearnerDecorator(mainDecorator,conf.labelDetails);
            if (whomToNotify != null) whomToNotify.threadStarted();
            LearnerGraph graph = mainDecorator.learnMachine(sPlus, sMinus);
            if (graph != null)
            {
              DirectedSparseGraph learnt = graph.pathroutines.getGraph();
              if(conf.config.isGenerateTextOutput())
                OutputUtil.generateTextOutput(learnt,"textOutput.txt");

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Examples of statechum.analysis.learning.Learner.learnMachine()

        innerLearner.addObserver(PickNegativesVisualiser.this);
        Learner mainDecorator = new AutoAnswers(innerLearner);
        if (conf.labelDetails != null)
          mainDecorator = new SmtLearnerDecorator(mainDecorator,conf.labelDetails);
            if (whomToNotify != null) whomToNotify.threadStarted();
            LearnerGraph graph = mainDecorator.learnMachine(sPlus, sMinus);
            if (graph != null)
            {
              try
              {
                DirectedSparseGraph learnt = graph.pathroutines.getGraph();

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Examples of statechum.analysis.learning.RPNIBlueFringeLearnerTestComponentOpt.learnMachine()

    PTASequenceEngine sPlus = null, sMinus = null;int percent = 10;
    sPlus = rpg.getExtraSequences(percent/10-1);sMinus = rpg.getAllSequences(percent/10-1);


    int ptaSize = sMinus.numberOfLeafNodes();
    l.init(sMinus, ptaSize,ptaSize);// our imaginary positives are prefixes of negatives.
    DirectedSparseGraph learningOutcome = l.learnMachine();
    l.setQuestionCounter(0);
    LearnerGraph learned = new LearnerGraph(learningOutcome,config);
    PTA_computePrecisionRecall precRec = new PTA_computePrecisionRecall(learned);
    PTASequenceEngine engine = new PTA_FSMStructure(graph);
    precRec.crossWith(sMinus);

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Examples of statechum.analysis.learning.RPNIBlueFringeLearnerTestComponentOpt.learnMachine()

      int ptaElements = pta.numberOfLeafNodes();


      stats = stats+"Instance: "+instanceID+", learner: "+this+", pta: "+ptaElements+" tests: "+tests.size()+ "\n";
      l.init(pta, ptaElements/2,ptaElements/2);


      learningOutcome = l.learnMachine();
      result = result+l.getQuestionCounter()+FS+computeAccuracy(learningOutcome, graph.paths.getGraph(),tests);
      System.out.print(computeAccuracy(learningOutcome, graph.paths.getGraph(),tests)+",");
      //System.out.println(instanceID+","+result);
      //updateFrame(g,learningOutcome);
      l.setQuestionCounter(0);

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Examples of statechum.analysis.learning.RPNIUniversalLearner.learnMachine()

                            if (learnerInitConfiguration.graph != null)
                            {
                              learnerInitConfiguration.graph.clearColours();learnerInitConfiguration.graph.getInit().setColour(JUConstants.RED);
                              LearnerGraph.copyGraphs(learnerInitConfiguration.graph,learner.getTentativeAutomaton());
                            }
                            LearnerGraph graphLearnt = learner.learnMachine();
                            outcome = new OtpErlangTuple(new OtpErlangObject[]{ref,msgOk,  constructFSM(graphLearnt)});
                          }
                          catch(AskedToTerminateException e)
                          {
                            outcome = new OtpErlangTuple(new OtpErlangObject[]{ref,msgTerminate});

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Examples of statechum.analysis.learning.RPNIUniversalLearner.learnMachine()

                            if (learnerInitConfiguration.graph != null)
                            {
                              learnerInitConfiguration.graph.clearColours();learnerInitConfiguration.graph.getInit().setColour(JUConstants.RED);
                              LearnerGraph.copyGraphs(learnerInitConfiguration.graph,learner.getTentativeAutomaton());
                            }
                            LearnerGraph graphLearnt = learner.learnMachine(new LinkedList<List<Label>>(),new LinkedList<List<Label>>());
                            outcome = new OtpErlangTuple(new OtpErlangObject[]{ref,msgOk,  constructFSM(graphLearnt)});
                          }
                          catch(AskedToTerminateException e)
                          {
                            outcome = new OtpErlangTuple(new OtpErlangObject[]{ref,msgTerminate});

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Examples of statechum.analysis.learning.RPNIUniversalLearner.learnMachine()

                              
                            };
                            if (learnerInitConfiguration.config.getAskQuestions()) // only generate initial traces if we are permited to ask questions.
                              learner.init(learner.GenerateInitialTraces(learnerInitConfiguration.config.getErlangInitialTraceLength()),0,0);
                            System.out.println("random trace generation complete");
                            LearnerGraph graphLearnt = learner.learnMachine(),
                                graphWithTrimmedLabels = new LearnerGraph(learnerInitConfiguration.config);
                            
                            if (learnerInitConfiguration.config.getErlangStripModuleNamesFromFunctionsInNonGenModules())
                              convertLabelsToStrings(graphLearnt,graphWithTrimmedLabels);
                            else

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Examples of statechum.analysis.learning.RPNIUniversalLearner.learnMachine()

                            if (learnerInitConfiguration.graph != null)
                            {
                              learnerInitConfiguration.graph.clearColours();learnerInitConfiguration.graph.getInit().setColour(JUConstants.RED);
                              LearnerGraph.copyGraphs(learnerInitConfiguration.graph,learner.getTentativeAutomaton());
                            }
                            LearnerGraph graphLearnt = learner.learnMachine();
                            outcome = new OtpErlangTuple(new OtpErlangObject[]{ref,msgOk,  constructFSM(graphLearnt)});
                          }
                          catch(AskedToTerminateException e)
                          {
                            outcome = new OtpErlangTuple(new OtpErlangObject[]{ref,msgTerminate});

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Examples of statechum.analysis.learning.RPNIUniversalLearner.learnMachine()

                            if (learnerInitConfiguration.graph != null)
                            {
                              learnerInitConfiguration.graph.clearColours();learnerInitConfiguration.graph.getInit().setColour(JUConstants.RED);
                              LearnerGraph.copyGraphs(learnerInitConfiguration.graph,learner.getTentativeAutomaton());
                            }
                            LearnerGraph graphLearnt = learner.learnMachine(new LinkedList<List<Label>>(),new LinkedList<List<Label>>());
                            outcome = new OtpErlangTuple(new OtpErlangObject[]{ref,msgOk,  constructFSM(graphLearnt)});
                          }
                          catch(AskedToTerminateException e)
                          {
                            outcome = new OtpErlangTuple(new OtpErlangObject[]{ref,msgTerminate});

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