Examples of EventStream

com.espertech.esper.view.EventStream
A streams is a conduct for incoming events. Incoming data is placed into streams for consumption by queries.
com.saasovation.common.event.sourcing.EventStream
opennlp.maxent.EventStream
opennlp.model.EventStream
A object which can deliver a stream of training events for the GIS procedure (or others such as IIS if and when they are implemented). EventStreams don't need to use opennlp.maxent.DataStreams, but doing so would provide greater flexibility for producing events from data stored in different formats.
opennlp.tools.ml.model.EventStream
A object which can deliver a stream of training events for the GIS procedure (or others such as IIS if and when they are implemented). EventStreams don't need to use opennlp.tools.ml.maxent.DataStreams, but doing so would provide greater flexibility for producing events from data stored in different formats.
org.persvr.remote.EventStream
This represents a stream of events. You can subscribe to the event stream with addCallback and publish events with the fire method. @author Kris

Examples of opennlp.model.EventStream

      return new Event(obs.substring(lastSpace+1),contexts,values);
    }
  }


  public static void main(String[] args) throws java.io.IOException {
    EventStream es = new RealBasicEventStream(new PlainTextByLineDataStream(new java.io.FileReader(args[0])));
    while (es.hasNext()) {
      System.out.println(es.next());
    }
  }

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Examples of opennlp.model.EventStream

      throws IOException {
    Factory factory = new Factory();


    Map<String, String> manifestInfoEntries = new HashMap<String, String>();


    EventStream eventStream = new TokSpanEventStream(samples,
        useAlphaNumericOptimization, factory.getAlphanumeric(languageCode),
        factory.createTokenContextGenerator(languageCode,
            getAbbreviations(abbreviations)));


    AbstractModel maxentModel = TrainUtil.train(eventStream,

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Examples of opennlp.model.EventStream

      String modelFileName =
        dataFileName.substring(0,dataFileName.lastIndexOf('.'))
        + "Model.txt";
      try {
        FileReader datafr = new FileReader(new File(dataFileName));
        EventStream es;
        if (!real) { 
          es = new BasicEventStream(new PlainTextByLineDataStream(datafr));
        }
        else {
          es = new RealBasicEventStream(new PlainTextByLineDataStream(datafr));

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Examples of opennlp.model.EventStream

       featureGenerator = createFeatureGenerator();
     
     AbstractModel nameFinderModel;
     
     if (!TrainUtil.isSequenceTraining(trainParams.getSettings())) {
       EventStream eventStream = new NameFinderEventStream(samples, type,
           new DefaultNameContextGenerator(featureGenerator));
       
       nameFinderModel = TrainUtil.train(eventStream, trainParams.getSettings(), manifestInfoEntries);
     }
     else {

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Examples of opennlp.model.EventStream

  public static final void main(String[] args) throws java.io.IOException {
    if (args.length != 0) {
      System.err.println("Usage: NameFinderEventStream < training files");
      System.exit(1);
    }
    EventStream es = new NameFinderEventStream(new NameSampleDataStream(
        new PlainTextByLineStream(new java.io.InputStreamReader(System.in))));
    while (es.hasNext()) {
      System.out.println(es.next());
    }
  }

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Examples of opennlp.model.EventStream

    
    AbstractModel posModel;
    
    if (!TrainUtil.isSequenceTraining(trainParams.getSettings())) {
      
      EventStream es = new POSSampleEventStream(samples, contextGenerator);
      
      posModel = TrainUtil.train(es, trainParams.getSettings(), manifestInfoEntries);
    }
    else {
      POSSampleSequenceStream ss = new POSSampleSequenceStream(samples, contextGenerator);

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Examples of opennlp.model.EventStream

      ChunkerContextGenerator contextGenerator, TrainingParameters mlParams)
  throws IOException {
    
    Map<String, String> manifestInfoEntries = new HashMap<String, String>();
    
    EventStream es = new ChunkerEventStream(in, contextGenerator);
    
    AbstractModel maxentModel = TrainUtil.train(es, mlParams.getSettings(), manifestInfoEntries);
    
    return new ChunkerModel(lang, maxentModel, manifestInfoEntries);
  }

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Examples of opennlp.model.EventStream

  public static ChunkerModel train(String lang, ObjectStream<ChunkSample> in,
      TrainingParameters mlParams, ChunkerFactory factory) throws IOException {


    Map<String, String> manifestInfoEntries = new HashMap<String, String>();


    EventStream es = new ChunkerEventStream(in, factory.getContextGenerator());


    AbstractModel maxentModel = TrainUtil.train(es, mlParams.getSettings(),
        manifestInfoEntries);


    return new ChunkerModel(lang, maxentModel, manifestInfoEntries, factory);

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Examples of opennlp.model.EventStream

      ChunkerContextGenerator contextGenerator, TrainingParameters mlParams)
  throws IOException {
    
    Map<String, String> manifestInfoEntries = new HashMap<String, String>();
    
    EventStream es = new ChunkerEventStream(in, contextGenerator);
    
    AbstractModel maxentModel = TrainUtil.train(es, mlParams.getSettings(), manifestInfoEntries);
    
    return new ChunkerModel(lang, maxentModel, manifestInfoEntries);
  }

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Examples of opennlp.model.EventStream

        + "Model.txt";
      File outputFile = new File(modelFileName);
      AbstractModelWriter writer = null;
      try {
        FileReader datafr = new FileReader(new File(dataFileName));
        EventStream es;
        if (!real) { 
          es = new BasicEventStream(new PlainTextByLineDataStream(datafr));
        }
        else {
          es = new RealBasicEventStream(new PlainTextByLineDataStream(datafr));

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