List of readLearnerConstructionData() Examples

Examples of readLearnerConstructionData()

statechum.analysis.learning.observers.LearnerSimulator.readLearnerConstructionData()
Loads the current learner input parameters and initialises the internal data in the simulator. If possible, this also loads the configuration and uses it for all methods requiring a configuration.

Examples of statechum.analysis.learning.observers.LearnerSimulator.readLearnerConstructionData()

   */
  public void copyLogIntoAnotherLog(String logFileName)
  {
    try {
      final LearnerSimulator simulator = new LearnerSimulator(new java.io.FileInputStream(logFileName),true);
      final LearnerEvaluationConfiguration evalData = simulator.readLearnerConstructionData();
      final org.w3c.dom.Element nextElement = simulator.expectNextElement(StatechumXML.ELEM_INIT.name());
      final ProgressDecorator.InitialData initial = simulator.readInitialData(nextElement);
      simulator.setNextElement(nextElement);
  
      RPNILearner learner2 = new RPNIUniversalLearner(null,new LearnerEvaluationConfiguration(null,null,evalData.config,null,null))

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Examples of statechum.analysis.learning.observers.LearnerSimulator.readLearnerConstructionData()

    // now a simulator to a learner
    if (logFileName.contains(Configuration.LEARNER.LEARNER_BLUEFRINGE_DEC2007.name()))
      VertexID.comparisonKind = ComparisonKind.COMPARISON_LEXICOGRAPHIC_ORIG;// this is a major change in a configuration of learners, affecting the comparison between vertex IDs 


    final LearnerSimulator simulator = new LearnerSimulator(new java.io.FileInputStream(logFileName),true);
    final LearnerEvaluationConfiguration evalData = simulator.readLearnerConstructionData();


    // Now we need to choose learner parameters based on the kind of file we are given
    // (given the pace of Statechum evolution, I cannot expect all the correct options
    // to be stored in log files).
    if (logFileName.contains(Configuration.LEARNER.LEARNER_BLUEFRINGE_MAY2008.name()))

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Examples of statechum.analysis.learning.observers.LearnerSimulator.readLearnerConstructionData()

    final java.io.FileInputStream inputStream = new java.io.FileInputStream(argPTAFileName);
    final LearnerSimulator simulator = new LearnerSimulator(inputStream,true,converter);
    Configuration defaultConfig = configToUse.copy();
    //defaultConfig.setRejectPositivePairsWithScoresLessThan(1);
    assert converter != null : "we expect this methods to be used with large graphs and Array matrix types hence converter must be set";
    outcome.learnerInitConfiguration = simulator.readLearnerConstructionData(defaultConfig);
    outcome.learnerInitConfiguration.setLabelConverter(converter);
    
    final org.w3c.dom.Element nextElement = simulator.expectNextElement(StatechumXML.ELEM_INIT.name());
    outcome.initial = simulator.readInitialData(nextElement);
    inputStream.close();

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Examples of statechum.analysis.learning.observers.LearnerSimulator.readLearnerConstructionData()

    final java.io.FileInputStream inputStream = new java.io.FileInputStream(argPTAFileName);
    final LearnerSimulator simulator = new LearnerSimulator(inputStream,true,converter);
    Configuration defaultConfig = configToUse.copy();
    //defaultConfig.setRejectPositivePairsWithScoresLessThan(1);
    assert converter != null : "we expect this methods to be used with large graphs and Array matrix types hence converter must be set";
    outcome.learnerInitConfiguration = simulator.readLearnerConstructionData(defaultConfig);
    outcome.learnerInitConfiguration.setLabelConverter(converter);
    
    final org.w3c.dom.Element nextElement = simulator.expectNextElement(StatechumXML.ELEM_INIT.name());
    outcome.initial = simulator.readInitialData(nextElement);
    inputStream.close();

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Examples of statechum.analysis.learning.observers.LearnerSimulator.readLearnerConstructionData()

    final java.io.FileInputStream inputStream = new java.io.FileInputStream(argPTAFileName);
    final LearnerSimulator simulator = new LearnerSimulator(inputStream,true,converter);
    Configuration defaultConfig = configToUse.copy();
    //defaultConfig.setRejectPositivePairsWithScoresLessThan(1);
    assert converter != null : "we expect this methods to be used with large graphs and Array matrix types hence converter must be set";
    outcome.learnerInitConfiguration = simulator.readLearnerConstructionData(defaultConfig);
    outcome.learnerInitConfiguration.setLabelConverter(converter);
    
    final org.w3c.dom.Element nextElement = simulator.expectNextElement(StatechumXML.ELEM_INIT.name());
    outcome.initial = simulator.readInitialData(nextElement);
    inputStream.close();

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Examples of statechum.analysis.learning.observers.LearnerSimulator.readLearnerConstructionData()

 */
public class Test_CheckLearnerAgainstLog {
  public void check(String logFileName) throws FileNotFoundException
  {
    final LearnerSimulator simulator = new LearnerSimulator(new java.io.FileInputStream(logFileName),true);
    final LearnerEvaluationConfiguration eval1 = simulator.readLearnerConstructionData();
    final org.w3c.dom.Element nextElement = simulator.expectNextElement(ELEM_KINDS.ELEM_INIT.name());
    final ProgressDecorator.InitialData initial = simulator.readInitialData(nextElement);
    simulator.setNextElement(nextElement);
    RPNIBlueFringeLearner learner2 = new RPNIBlueFringeLearnerTestComponentOpt(null,eval1.config)
    {

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Examples of statechum.analysis.learning.observers.LearnerSimulator.readLearnerConstructionData()

    final java.io.FileInputStream inputStream = new java.io.FileInputStream(argPTAFileName);
    final LearnerSimulator simulator = new LearnerSimulator(inputStream,true,converter);
    Configuration defaultConfig = configToUse.copy();
    //defaultConfig.setRejectPositivePairsWithScoresLessThan(1);
    assert converter != null : "we expect this methods to be used with large graphs and Array matrix types hence converter must be set";
    outcome.learnerInitConfiguration = simulator.readLearnerConstructionData(defaultConfig);
    outcome.learnerInitConfiguration.setLabelConverter(converter);
    
    final org.w3c.dom.Element nextElement = simulator.expectNextElement(StatechumXML.ELEM_INIT.name());
    outcome.initial = simulator.readInitialData(nextElement);
    inputStream.close();

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Examples of statechum.analysis.learning.observers.LearnerSimulator.readLearnerConstructionData()

   // of Xerces objects used for recording execution traces that is not used in this test but takes
   // a lot of memory.
    final java.io.FileInputStream inputStream = new java.io.FileInputStream(argPTAFileName);
    final LearnerSimulator simulator = new LearnerSimulator(inputStream,true,converter);
    Configuration defaultConfig = Configuration.getDefaultConfiguration().copy();
    paper.learnerInitConfiguration = simulator.readLearnerConstructionData(defaultConfig);
    paper.learnerInitConfiguration.setLabelConverter(converter);
    final org.w3c.dom.Element nextElement = simulator.expectNextElement(StatechumXML.ELEM_INIT.name());
    ProgressDecorator.InitialData initial = simulator.readInitialData(nextElement);
    inputStream.close();
    return initial;

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Examples of statechum.analysis.learning.observers.LearnerSimulator.readLearnerConstructionData()

  {
    try {
      Configuration config = Configuration.getDefaultConfiguration().copy();
      final java.io.FileInputStream inputStream = new java.io.FileInputStream(logFileName);
      final LearnerSimulator simulator = new LearnerSimulator(inputStream,true,null);// not using a converter
      final LearnerEvaluationConfiguration evalData = simulator.readLearnerConstructionData(config);
      final org.w3c.dom.Element nextElement = simulator.expectNextElement(StatechumXML.ELEM_INIT.name());
      final ProgressDecorator.InitialData initial = simulator.readInitialData(nextElement);
      simulator.setNextElement(nextElement);
  
      RPNILearner learner2 = new RPNIUniversalLearner(null,new LearnerEvaluationConfiguration(null,null,evalData.config,null,null))

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Examples of statechum.analysis.learning.observers.LearnerSimulator.readLearnerConstructionData()


    final java.io.FileInputStream inputStream = new java.io.FileInputStream(logFileName);
    final LearnerSimulator simulator = new LearnerSimulator(inputStream,true,null);
    Configuration config = Configuration.getDefaultConfiguration().copy();
    config.setLegacyXML(true);
    final LearnerEvaluationConfiguration evalData = simulator.readLearnerConstructionData(config);
    evalData.config.setTransitionMatrixImplType(STATETREE.STATETREE_SLOWTREE);
    
    // Now we need to choose learner parameters based on the kind of file we are given
    // (given the pace of Statechum evolution, I cannot expect all the correct options
    // to be stored in log files).

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