Examples of MaxentModel

Examples of opennlp.tools.ml.model.MaxentModel

48
49
50
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
78
79
80
81
82
83
84
85
    StringReader smallReader = new StringReader(smallValues);
    ObjectStream<Event> smallEventStream = new RealBasicEventStream(
        new PlainTextByLineStream(smallReader));

    MaxentModel smallModel = GIS.trainModel(100,
        new OnePassRealValueDataIndexer(smallEventStream, 0), false);
    String[] contexts = smallTest.split(" ");
    float[] values = RealValueFileEventStream.parseContexts(contexts);
    double[] smallResults = smallModel.eval(contexts, values);

    String smallResultString = smallModel.getAllOutcomes(smallResults);
    System.out.println("smallResults: " + smallResultString);

    StringReader largeReader = new StringReader(largeValues);
    ObjectStream<Event> largeEventStream = new RealBasicEventStream(
        new PlainTextByLineStream(largeReader));

    MaxentModel largeModel = GIS.trainModel(100,
        new OnePassRealValueDataIndexer(largeEventStream, 0), false);
    contexts = largeTest.split(" ");
    values = RealValueFileEventStream.parseContexts(contexts);
    double[] largeResults = largeModel.eval(contexts, values);

    String largeResultString = smallModel.getAllOutcomes(largeResults);
    System.out.println("largeResults: " + largeResultString);

    assertEquals(smallResults.length, largeResults.length);
    for (int i = 0; i < smallResults.length; i++) {
      System.out.println(String.format(
          "classifiy with smallModel: %1$s = %2$f", smallModel.getOutcome(i),
          smallResults[i]));
      System.out.println(String.format(
          "classifiy with largeModel: %1$s = %2$f", largeModel.getOutcome(i),
          largeResults[i]));
      assertEquals(smallResults[i], largeResults[i], 0.01f);
    }
  }
View Full Code Here

Examples of opennlp.tools.ml.model.MaxentModel

48
49
50
51
52
53
54
55
56
57
  public void testQNOnPrepAttachDataWithParamsDefault() throws IOException {
   
    Map<String, String> trainParams = new HashMap<String, String>();
    trainParams.put(AbstractTrainer.ALGORITHM_PARAM, QNTrainer.MAXENT_QN_VALUE);
   
    MaxentModel model = TrainerFactory.getEventTrainer(trainParams, null)
                                      .train(createTrainingStream());
   
    testModel(model, 0.8115870264917059);
  }
View Full Code Here

Examples of opennlp.tools.ml.model.MaxentModel

65
66
67
68
69
70
71
72
73
74
        AbstractEventTrainer.DATA_INDEXER_TWO_PASS_VALUE);
    trainParams.put(AbstractTrainer.CUTOFF_PARAM, Integer.toString(1));
    trainParams.put(QNTrainer.L1COST_PARAM, Double.toString(0.25));
    trainParams.put(QNTrainer.L2COST_PARAM, Double.toString(1.0));
   
    MaxentModel model = TrainerFactory.getEventTrainer(trainParams, null)
                                      .train(createTrainingStream());
   
    testModel(model, 0.8229759841544937);
  }
View Full Code Here

Examples of opennlp.tools.ml.model.MaxentModel

82
83
84
85
86
87
88
89
90
91
        AbstractEventTrainer.DATA_INDEXER_TWO_PASS_VALUE);
    trainParams.put(AbstractTrainer.CUTOFF_PARAM, Integer.toString(1));
    trainParams.put(QNTrainer.L1COST_PARAM, Double.toString(1.0));
    trainParams.put(QNTrainer.L2COST_PARAM, Double.toString(0));
   
    MaxentModel model = TrainerFactory.getEventTrainer(trainParams, null)
                                      .train(createTrainingStream());
   
    testModel(model, 0.8180242634315424);
  }
View Full Code Here

Examples of opennlp.tools.ml.model.MaxentModel

99
100
101
102
103
104
105
106
107
108
        AbstractEventTrainer.DATA_INDEXER_TWO_PASS_VALUE);
    trainParams.put(AbstractTrainer.CUTOFF_PARAM, Integer.toString(1));
    trainParams.put(QNTrainer.L1COST_PARAM, Double.toString(0));
    trainParams.put(QNTrainer.L2COST_PARAM, Double.toString(1.0));
   
    MaxentModel model = TrainerFactory.getEventTrainer(trainParams, null)
                                      .train(createTrainingStream());
   
    testModel(model, 0.8227283981183461);
  }
View Full Code Here

Examples of opennlp.tools.ml.model.MaxentModel

112
113
114
115
116
117
118
119
120
121
   
    Map<String, String> trainParams = new HashMap<String, String>();
    trainParams.put(AbstractTrainer.ALGORITHM_PARAM, QNTrainer.MAXENT_QN_VALUE);
    trainParams.put("Threads", Integer.toString(2));
   
    MaxentModel model = TrainerFactory.getEventTrainer(trainParams, null)
                                      .train(createTrainingStream());
   
    testModel(model, 0.8115870264917059);
  }
View Full Code Here

Examples of opennlp.tools.ml.model.MaxentModel

62
63
64
65
66
67
68
69
70
    trainParams.put(AbstractTrainer.ALGORITHM_PARAM, GIS.MAXENT_VALUE);
    trainParams.put(AbstractEventTrainer.DATA_INDEXER_PARAM,
        AbstractEventTrainer.DATA_INDEXER_TWO_PASS_VALUE);
    trainParams.put(AbstractTrainer.CUTOFF_PARAM, Integer.toString(1));

    MaxentModel model = TrainUtil.train(createTrainingStream(), trainParams, null);

    testModel(model, 0.7997028967566229);
  }
View Full Code Here

Examples of opennlp.tools.ml.model.MaxentModel

73
74
75
76
77
78
79
80
81
  public void testMaxentOnPrepAttachDataWithParamsDefault() throws IOException {

    Map<String, String> trainParams = new HashMap<String, String>();
    trainParams.put(AbstractTrainer.ALGORITHM_PARAM, GIS.MAXENT_VALUE);

    MaxentModel model = TrainUtil.train(createTrainingStream(), trainParams, null);

    testModel(model, 0.8086159940579352 );
  }
View Full Code Here
TOP
Copyright © 2018 www.massapi.com. 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.