public void run()

in opennlp-tools/src/main/java/opennlp/tools/cmdline/namefind/TokenNameFinderTrainerTool.java [120:199]
60 lines of code
10 McCabe index (conditional complexity)

  public void run(String format, String[] args) {
    super.run(format, args);

    mlParams = CmdLineUtil.loadTrainingParameters(params.getParams(), true);
    if (mlParams == null) {
      mlParams = new TrainingParameters();
    }

    File modelOutFile = params.getModel();

    byte[] featureGeneratorBytes = openFeatureGeneratorBytes(params.getFeaturegen());

    // TODO: Support Custom resources:
    //       Must be loaded into memory, or written to tmp file until descriptor
    //       is loaded which defines parses when model is loaded

    Map<String, Object> resources;
    try {
      resources = loadResources(params.getResources(), params.getFeaturegen());
    }
    catch (IOException e) {
      throw new TerminateToolException(-1, e.getMessage(), e);
    }

    CmdLineUtil.checkOutputFile("name finder model", modelOutFile);

    if (params.getNameTypes() != null) {
      String[] nameTypes = params.getNameTypes().split(",");
      sampleStream = new NameSampleTypeFilter(nameTypes, sampleStream);
    }

    String sequenceCodecImplName = params.getSequenceCodec();

    if ("BIO".equals(sequenceCodecImplName)) {
      sequenceCodecImplName = BioCodec.class.getName();
    }
    else if ("BILOU".equals(sequenceCodecImplName)) {
      sequenceCodecImplName = BilouCodec.class.getName();
    }

    SequenceCodec<String> sequenceCodec;
    try {
      sequenceCodec = TokenNameFinderFactory.instantiateSequenceCodec(sequenceCodecImplName);
    } catch (InvalidFormatException e) {
      throw new TerminateToolException(-1, e.getMessage(), e);
    }

    TokenNameFinderFactory nameFinderFactory;
    try {
      nameFinderFactory = TokenNameFinderFactory.create(params.getFactory(),
          featureGeneratorBytes, resources, sequenceCodec);
    } catch (InvalidFormatException e) {
      throw new TerminateToolException(-1, e.getMessage(), e);
    }

    NameSampleCountersStream counters = new NameSampleCountersStream(sampleStream);
    sampleStream = counters;

    TokenNameFinderModel model;
    try {
      model = opennlp.tools.namefind.NameFinderME.train(
          params.getLang(), params.getType(), sampleStream, mlParams,
          nameFinderFactory);
    }
    catch (IOException e) {
      throw createTerminationIOException(e);
    }
    finally {
      try {
        sampleStream.close();
      } catch (IOException e) {
        // sorry that this can fail
      }
    }

    counters.printSummary();

    CmdLineUtil.writeModel("name finder", modelOutFile, model);

  }