Package opennlp.perceptron

Examples of opennlp.perceptron.PerceptronTrainer

114
115
116
117
118
119
120
121
122
123
124
  writer = new SuffixSensitiveGISModelWriter(model, outputFile);

      } else if (type.equals("perceptron")) {
        //System.err.println("Perceptron training");
        model = new PerceptronTrainer().trainModel(maxit, new OnePassDataIndexer(es, cutoff), cutoff);

  writer = new SuffixSensitivePerceptronModelWriter(model, outputFile);

      } else {
        throw new RuntimeException("Unknown model type: " + type);
View Full Code Here
101
102
103
104
105
106
107
108
109
110
111
            model = GIS.trainModel(100, new OnePassRealValueDataIndexer(es,0), USE_SMOOTHING);
          }
        }
        else if (type.equals("perceptron")){
          System.err.println("Perceptron training");
          model = new PerceptronTrainer().trainModel(10, new OnePassDataIndexer(es,0),0);
        }
        else {
          System.err.println("Unknown model type: "+type);
          model = null;
        }
View Full Code Here
106
107
108
109
110
111
112
113
114
115
116
          }
          writer =  new SuffixSensitiveGISModelWriter(model, outputFile);
        }
        else if (type.equals("perceptron")){
          System.err.println("Perceptron training");
          model = new PerceptronTrainer().trainModel(10, new OnePassDataIndexer(es,0),0);
          writer = new SuffixSensitivePerceptronModelWriter(model, outputFile);
        }
        else {
          System.err.println("Unknown model type: "+type);
          model = null;
View Full Code Here
113
114
115
116
117
118
119
120
121
122
123
  writer = new SuffixSensitiveGISModelWriter(model, outputFile);

      } else if (type.equals("perceptron")) {
        //System.err.println("Perceptron training");
        model = new PerceptronTrainer().trainModel(maxit, new OnePassDataIndexer(es, cutoff), cutoff);

  writer = new SuffixSensitivePerceptronModelWriter(model, outputFile);

      } else {
        throw new RuntimeException("Unknown model type: " + type);
View Full Code Here
103
104
105
106
107
108
109
110
111
112
113
          model = GIS.trainModel(maxit, new OnePassRealValueDataIndexer(es, 0),
              USE_SMOOTHING);
        }
      } else if (type.equals("perceptron")) {
        System.err.println("Perceptron training");
        model = new PerceptronTrainer().trainModel(10, new OnePassDataIndexer(
            es, 0), 0);
      } else {
        System.err.println("Unknown model type: " + type);
        model = null;
      }
View Full Code Here
TOP

Related Classes of opennlp.perceptron.PerceptronTrainer

  • CreateModel
  • opennlp.maxent.ModelTrainer
  • opennlp.model.EvalParameters
  • opennlp.model.MutableContext
    • 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.