Package opennlp.tools.cmdline

Examples of opennlp.tools.cmdline.BasicTrainingParameters

47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
    if (args.length < 8) {
      System.out.println(getHelp());
      throw new TerminateToolException(1);
    }
   
    BasicTrainingParameters parameters = new BasicTrainingParameters(args);
   
    // Load model to be updated
    File modelFile = new File(CmdLineUtil.getParameter("-model", args));
    ParserModel originalParserModel = new ParserModelLoader().load(modelFile);

    ObjectStream<Parse> parseSamples = ParserTrainerTool.openTrainingData(new File(CmdLineUtil.getParameter("-data", args)),
        parameters.getEncoding());
   
    ParserModel updatedParserModel;
    try {
      updatedParserModel = trainAndUpdate(originalParserModel,
          parseSamples, parameters);
View Full Code Here
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
    if (args.length < 8) {
      System.out.println(getHelp());
      throw new TerminateToolException(1);
    }
   
    BasicTrainingParameters parameters = new BasicTrainingParameters(args);
   
    if(!parameters.isValid()) {
      System.out.println(getHelp());
      throw new TerminateToolException(1);
    }
   
    File trainingDataInFile = new File(CmdLineUtil.getParameter("-data", args));
    File modelOutFile = new File(CmdLineUtil.getParameter("-model", args));

    CmdLineUtil.checkOutputFile("sentence detector model", modelOutFile);
    ObjectStream<ChunkSample> sampleStream =
      openSampleData("Training", trainingDataInFile, parameters.getEncoding());
   
    ChunkerModel model;
    try {
      model = ChunkerME.train(parameters.getLanguage(), sampleStream,
          parameters.getCutoff(), parameters.getNumberOfIterations());
    } catch (IOException e) {
      CmdLineUtil.printTrainingIoError(e);
      throw new TerminateToolException(-1);
    }
    finally {
View Full Code Here
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
    if (args.length < 6) {
      System.out.println(getHelp());
      throw new TerminateToolException(1);
    }
   
    BasicTrainingParameters parameters = new BasicTrainingParameters(args);
   
    if(!parameters.isValid()) {
      System.out.println(getHelp());
      throw new TerminateToolException(1);
    }
   
    File trainingDataInFile = new File(CmdLineUtil.getParameter("-data", args));
    CmdLineUtil.checkInputFile("Training Data", trainingDataInFile);
   
    ObjectStream<ChunkSample> sampleStream =
        ChunkerTrainerTool.openSampleData("Training Data",
        trainingDataInFile, parameters.getEncoding());
   
    ChunkerCrossValidator validator =
        new ChunkerCrossValidator(
            parameters.getLanguage(), parameters.getCutoff(), parameters.getNumberOfIterations());
     
    try {
      validator.evaluate(sampleStream, 10);
    }
    catch (IOException e) {
View Full Code Here
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
    if (args.length < 8) {
      System.out.println(getHelp());
      throw new TerminateToolException(1);
    }
   
    BasicTrainingParameters parameters = new BasicTrainingParameters(args);
   
    if(!parameters.isValid()) {
      System.out.println(getHelp());
      throw new TerminateToolException(1);
    }
   
    File trainingDataInFile = new File(CmdLineUtil.getParameter("-data", args));
    File modelOutFile = new File(CmdLineUtil.getParameter("-model", args));

    CmdLineUtil.checkOutputFile("document categorizer model", modelOutFile);
    ObjectStream<DocumentSample> sampleStream =
        openSampleData("Training", trainingDataInFile, parameters.getEncoding());
   
    DoccatModel model;
    try {
      model = DocumentCategorizerME.train(parameters.getLanguage(), sampleStream,
          parameters.getCutoff(), parameters.getNumberOfIterations());
    } catch (IOException e) {
      CmdLineUtil.printTrainingIoError(e);
      throw new TerminateToolException(-1);
    }
    finally {
View Full Code Here
TOP

Related Classes of opennlp.tools.cmdline.BasicTrainingParameters

  • opennlp.tools.cmdline.chunker.ChunkerCrossValidatorTool
  • opennlp.tools.cmdline.chunker.ChunkerTrainerTool
  • opennlp.tools.cmdline.doccat.DoccatTrainerTool
  • opennlp.tools.cmdline.parser.ModelUpdaterTool
    • Copyright © 2018 www.massapicom. All rights reserved.
    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.