List of calculateHashSum() Examples

Examples of calculateHashSum()

opennlp.tools.ml.model.HashSumEventStream.calculateHashSum()
Calculates the hash sum of the stream. The method must be called after the stream is completely consumed. @return the hash sum @throws IllegalStateException if the stream is not consumed completely,completely means that hasNext() returns false
opennlp.tools.util.HashSumEventStream.calculateHashSum()
Calculates the hash sum of the stream. The method must be called after the stream is completely consumed. @return the hash sum @throws IllegalStateException if the stream is not consumed completely,completely means that hasNext() returns false

Examples of opennlp.tools.ml.model.HashSumEventStream.calculateHashSum()

    HashSumEventStream hses = new HashSumEventStream(events);
    DataIndexer indexer = getDataIndexer(events);


    MaxentModel model = doTrain(indexer);


    addToReport("Training-Eventhash", hses.calculateHashSum().toString(16));
    addToReport(AbstractTrainer.TRAINER_TYPE_PARAM, EventTrainer.EVENT_VALUE);
    return model;
  }
}

View Full Code Here

Examples of opennlp.tools.util.HashSumEventStream.calculateHashSum()

      
      HashSumEventStream hses = new HashSumEventStream(eventStream);
      GISModel sentModel = GIS.trainModel(hses, iterations, cutoff);


      manifestInfoEntries.put(BaseModel.TRAINING_EVENTHASH_PROPERTY, 
          hses.calculateHashSum().toString(16));
      
      return new SentenceModel(languageCode, sentModel,
          useTokenEnd, abbreviations, manifestInfoEntries);
    }

View Full Code Here

Examples of opennlp.tools.util.HashSumEventStream.calculateHashSum()

    System.err.println("Training builder");
    opennlp.model.EventStream bes = new ParserEventStream(parseSamples, rules, ParserEventTypeEnum.BUILD, mdict);
    HashSumEventStream hsbes = new HashSumEventStream(bes);
    AbstractModel buildModel = train(hsbes, iterations, cut);
    manifestInfoEntries.put("Training-Builder-Eventhash", 
        hsbes.calculateHashSum().toString(16));
    
    parseSamples.reset();
    
    // tag
    POSModel posModel = POSTaggerME.train(languageCode, new PosSampleStream(parseSamples),

View Full Code Here

Examples of opennlp.tools.util.HashSumEventStream.calculateHashSum()

    System.err.println("Training checker");
    opennlp.model.EventStream kes = new ParserEventStream(parseSamples, rules, ParserEventTypeEnum.CHECK);
    HashSumEventStream hskes = new HashSumEventStream(kes);
    AbstractModel checkModel = train(hskes, iterations, cut);
    manifestInfoEntries.put("Training-Checker-Eventhash", 
        hskes.calculateHashSum().toString(16));
    
    // TODO: Remove cast for HeadRules
    return new ParserModel(languageCode, buildModel, checkModel,
        posModel, chunkModel, (opennlp.tools.parser.lang.en.HeadRules) rules,
        ParserType.CHUNKING, manifestInfoEntries);

View Full Code Here

Examples of opennlp.tools.util.HashSumEventStream.calculateHashSum()

    
    AbstractModel maxentModel = opennlp.maxent.GIS.trainModel(iterations, 
        new TwoPassDataIndexer(hses, cutoff));
    
    manifestInfoEntries.put(BaseModel.TRAINING_EVENTHASH_PROPERTY, 
        hses.calculateHashSum().toString(16));
    
    return new ChunkerModel(lang, maxentModel, manifestInfoEntries);
  }
  
  /**

View Full Code Here

Examples of opennlp.tools.util.HashSumEventStream.calculateHashSum()

         new DefaultNameContextGenerator(featureGenerator));
     HashSumEventStream hses = new HashSumEventStream(eventStream);
     AbstractModel nameFinderModel = GIS.trainModel(iterations, new TwoPassDataIndexer(hses, cutoff));
     
     manifestInfoEntries.put(BaseModel.TRAINING_EVENTHASH_PROPERTY, 
         hses.calculateHashSum().toString(16));
     
     return new TokenNameFinderModel(languageCode, nameFinderModel,
         resources, manifestInfoEntries);
   }

View Full Code Here

TOP

All source code are property of their respective owners. Java is a trademark of Sun Microsystems, Inc and owned by ORACLE Inc. Contact coftware#gmail.com.