Package org.apache.mahout.classifier.bayes.datastore

Examples of org.apache.mahout.classifier.bayes.datastore.InMemoryBayesDatastore

37
38
39
40
41
42
43
44
45
46
47
  public void setUp() throws Exception {
    super.setUp();
    algorithm = new CBayesAlgorithm();
    BayesParameters bayesParams = new BayesParameters();
    bayesParams.setGramSize(1);
    store = new InMemoryBayesDatastore(bayesParams);
    // String[] labels = new String[]{"a", "b", "c", "d", "e"};
    // long[] labelCounts = new long[]{6, 20, 60, 100, 200};
    // String[] features = new String[]{"aa", "bb", "cc", "dd", "ee"};
    store.setSigmaJSigmaK(500.0);
   
View Full Code Here
79
80
81
82
83
84
85
86
87
88
89
    params.set("defaultCat", "unknown");
    params.set("encoding", "UTF-8");
    params.set("alpha_i", "1.0");
   
    Algorithm algorithm = new BayesAlgorithm();
    Datastore datastore = new InMemoryBayesDatastore(params);
    ClassifierContext classifier = new ClassifierContext(algorithm, datastore);
    classifier.initialize();
    ResultAnalyzer resultAnalyzer = new ResultAnalyzer(classifier.getLabels(), params.get("defaultCat"));
   
    for (String[] entry : ClassifierData.DATA) {
View Full Code Here
130
131
132
133
134
135
136
137
138
139
140
    params.set("defaultCat", "unknown");
    params.set("encoding", "UTF-8");
    params.set("alpha_i", "1.0");
   
    Algorithm algorithm = new CBayesAlgorithm();
    Datastore datastore = new InMemoryBayesDatastore(params);
    ClassifierContext classifier = new ClassifierContext(algorithm, datastore);
    classifier.initialize();
    ResultAnalyzer resultAnalyzer = new ResultAnalyzer(classifier.getLabels(), params.get("defaultCat"));
    for (String[] entry : ClassifierData.DATA) {
      List<String> document = new NGrams(entry[1], params.getGramSize()).generateNGramsWithoutLabel();
View Full Code Here
37
38
39
40
41
42
43
44
45
46
47
  public void setUp() throws Exception {
    super.setUp();
    algorithm = new BayesAlgorithm();
    BayesParameters bayesParams = new BayesParameters();
    bayesParams.setGramSize(1);
    store = new InMemoryBayesDatastore(bayesParams);
    // String[] labels = new String[]{"a", "b", "c", "d", "e"};
    // long[] labelCounts = new long[]{6, 20, 60, 100, 200};
    // String[] features = new String[]{"aa", "bb", "cc", "dd", "ee"};
    store.setSigmaJSigmaK(100.0);
   
View Full Code Here
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
   
    if ("hdfs".equals(params.get("dataSource"))) {
      if ("bayes".equalsIgnoreCase(params.get("classifierType"))) {
        log.info("Testing Bayes Classifier");
        algorithm = new BayesAlgorithm();
        datastore = new InMemoryBayesDatastore(params);
      } else if ("cbayes".equalsIgnoreCase(params.get("classifierType"))) {
        log.info("Testing Complementary Bayes Classifier");
        algorithm = new CBayesAlgorithm();
        datastore = new InMemoryBayesDatastore(params);
      } else {
        throw new IllegalArgumentException("Unrecognized classifier type: " + params.get("classifierType"));
      }
     
    } else {
View Full Code Here
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
     
      if ("hdfs".equals(params.get("dataSource"))) {
        if ("bayes".equalsIgnoreCase(params.get("classifierType"))) {
          log.info("Testing Bayes Classifier");
          algorithm = new BayesAlgorithm();
          datastore = new InMemoryBayesDatastore(params);
        } else if ("cbayes".equalsIgnoreCase(params.get("classifierType"))) {
          log.info("Testing Complementary Bayes Classifier");
          algorithm = new CBayesAlgorithm();
          datastore = new InMemoryBayesDatastore(params);
        } else {
          throw new IllegalArgumentException("Unrecognized classifier type: " + params.get("classifierType"));
        }
       
      } else {
View Full Code Here
TOP

Related Classes of org.apache.mahout.classifier.bayes.datastore.InMemoryBayesDatastore

  • org.apache.hadoop.conf.Configuration
  • org.apache.hadoop.fs.Path
  • org.apache.mahout.classifier.bayes.BayesClassifierSelfTest
  • org.apache.mahout.classifier.bayes.BayesClassifierTest
  • org.apache.mahout.classifier.bayes.CBayesClassifierTest
  • org.apache.mahout.classifier.bayes.mapreduce.bayes.BayesClassifierMapper
  • org.apache.mahout.classifier.bayes.TestClassifier
  • org.apache.mahout.classifier.Classify
  • org.apache.mahout.classifier.bayes.exceptions.InvalidDatastoreException
    • 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.