Package opennlp.model

Examples of opennlp.model.MaxentModel

158
159
160
161
162
163
164
165
166
167
168
  public void testBestSequence() {
    String sequence[] = {"1", "2", "3", "2", "1"};
    BeamSearchContextGenerator<String> cg = new IdentityFeatureGenerator(sequence);
   
    String outcomes[] = new String[] {"1", "2", "3"};
    MaxentModel model = new IdentityModel(outcomes);
   
    BeamSearch<String> bs = new BeamSearch<String>(2, cg, model);
   
    Sequence seq = bs.bestSequence(sequence, null);
    assertNotNull(seq);
View Full Code Here
181
182
183
184
185
186
187
188
189
190
191
  public void testBestSequenceWithValidator() {
    String sequence[] = {"1", "2", "3", "2", "1"};
    BeamSearchContextGenerator<String> cg = new IdentityFeatureGenerator(sequence);
   
    String outcomes[] = new String[] {"1", "2", "3"};
    MaxentModel model = new IdentityModel(outcomes);
   
    BeamSearch<String> bs = new BeamSearch<String>(2, cg, model, new SequenceValidator<String>(){

      public boolean validSequence(int i, String[] inputSequence,
          String[] outcomesSequence, String outcome) {
View Full Code Here
121
122
123
124
125
126
127
128
129
130
131
   
    String sequence[] = new String[0];
    BeamSearchContextGenerator<String> cg = new IdentityFeatureGenerator(sequence);
   
    String outcomes[] = new String[] {"1", "2", "3"};
    MaxentModel model = new IdentityModel(outcomes);
   
    BeamSearch<String> bs = new BeamSearch<String>(3, cg, model);
   
    Sequence seq = bs.bestSequence(sequence, null);
    assertNotNull(seq);
View Full Code Here
139
140
141
142
143
144
145
146
147
148
149
  public void testBestSequenceOneElementInput() {
    String sequence[] = {"1"};
    BeamSearchContextGenerator<String> cg = new IdentityFeatureGenerator(sequence);
   
    String outcomes[] = new String[] {"1", "2", "3"};
    MaxentModel model = new IdentityModel(outcomes);
   
    BeamSearch<String> bs = new BeamSearch<String>(3, cg, model);
   
    Sequence seq = bs.bestSequence(sequence, null);
    assertNotNull(seq);
View Full Code Here
121
122
123
124
125
126
127
128
129
130
131
   
    String sequence[] = new String[0];
    BeamSearchContextGenerator<String> cg = new IdentityFeatureGenerator(sequence);
   
    String outcomes[] = new String[] {"1", "2", "3"};
    MaxentModel model = new IdentityModel(outcomes);
   
    BeamSearch<String> bs = new BeamSearch<String>(3, cg, model);
   
    Sequence seq = bs.bestSequence(sequence, null);
    assertNotNull(seq);
View Full Code Here
139
140
141
142
143
144
145
146
147
148
149
  public void testBestSequenceOneElementInput() {
    String sequence[] = {"1"};
    BeamSearchContextGenerator<String> cg = new IdentityFeatureGenerator(sequence);
   
    String outcomes[] = new String[] {"1", "2", "3"};
    MaxentModel model = new IdentityModel(outcomes);
   
    BeamSearch<String> bs = new BeamSearch<String>(3, cg, model);
   
    Sequence seq = bs.bestSequence(sequence, null);
    assertNotNull(seq);
View Full Code Here
158
159
160
161
162
163
164
165
166
167
168
  public void testBestSequence() {
    String sequence[] = {"1", "2", "3", "2", "1"};
    BeamSearchContextGenerator<String> cg = new IdentityFeatureGenerator(sequence);
   
    String outcomes[] = new String[] {"1", "2", "3"};
    MaxentModel model = new IdentityModel(outcomes);
   
    BeamSearch<String> bs = new BeamSearch<String>(2, cg, model);
   
    Sequence seq = bs.bestSequence(sequence, null);
    assertNotNull(seq);
View Full Code Here
181
182
183
184
185
186
187
188
189
190
191
  public void testBestSequenceWithValidator() {
    String sequence[] = {"1", "2", "3", "2", "1"};
    BeamSearchContextGenerator<String> cg = new IdentityFeatureGenerator(sequence);
   
    String outcomes[] = new String[] {"1", "2", "3"};
    MaxentModel model = new IdentityModel(outcomes);
   
    BeamSearch<String> bs = new BeamSearch<String>(2, cg, model, new SequenceValidator<String>(){

      public boolean validSequence(int i, String[] inputSequence,
          String[] outcomesSequence, String outcome) {
View Full Code Here
111
112
113
114
115
116
117
118
119
120
121
      modelFileName = args[ai++];
      dataFileName = args[ai++];

      ModelApplier predictor = null;
      try {
        MaxentModel m = new GenericModelReader(new File(modelFileName)).getModel();
        predictor = new ModelApplier(m);
      } catch (Exception e) {
        e.printStackTrace();
        System.exit(0);
      }
View Full Code Here
46
47
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
    StringReader smallReader = new StringReader(smallValues);
    EventStream smallEventStream = new RealBasicEventStream(
        new PlainTextByLineDataStream(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);
    EventStream largeEventStream = new RealBasicEventStream(
        new PlainTextByLineDataStream(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
TOP

Related Classes of opennlp.model.MaxentModel

  • opennlp.maxent.ModelApplier
  • opennlp.maxent.ScaleDoesntMatterTest
  • opennlp.tools.util.BeamSearchTest
  • org.apache.ctakes.constituency.parser.MaxentParserWrapper
  • Predict
    • 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.