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

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

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    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], Integer.parseInt(params.get("gramSize")))
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    String dataSource = (String) cmdLine.getValue(dataSourceOpt);
    if ("hdfs".equals(dataSource)) {
      if ("bayes".equalsIgnoreCase(classifierType)) {
        log.info("Using Bayes Classifier");
        algorithm = new BayesAlgorithm();
        datastore = new InMemoryBayesDatastore(params);
      } else if ("cbayes".equalsIgnoreCase(classifierType)) {
        log.info("Using Complementary Bayes Classifier");
        algorithm = new CBayesAlgorithm();
        datastore = new InMemoryBayesDatastore(params);
      } else {
        throw new IllegalArgumentException("Unrecognized classifier type: " + classifierType);
      }
     
    } else if ("hbase".equals(dataSource)) {
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  @Override
  @Before
  public void setUp() throws Exception {
    super.setUp();
    algorithm = new BayesAlgorithm();
    store = new InMemoryBayesDatastore(new BayesParameters(1));
    // 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);
   
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  @Override
  @Before
  public void setUp() throws Exception {
    super.setUp();
    algorithm = new CBayesAlgorithm();
    store = new InMemoryBayesDatastore(new BayesParameters(1));
    // 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);
   
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      if (params.get("dataSource").equals("hdfs")) {
        if (params.get("classifierType").equalsIgnoreCase("bayes")) {
          log.info("Testing Bayes Classifier");
          algorithm = new BayesAlgorithm();
          datastore = new InMemoryBayesDatastore(params);
        } else if (params.get("classifierType").equalsIgnoreCase("cbayes")) {
          log.info("Testing Complementary Bayes Classifier");
          algorithm = new CBayesAlgorithm();
          datastore = new InMemoryBayesDatastore(params);
        } else {
          throw new IllegalArgumentException("Unrecognized classifier type: "
              + params.get("classifierType"));
        }
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  @Override
  protected void setUp() throws Exception {
    super.setUp();
    algorithm = new BayesAlgorithm();
    store = new InMemoryBayesDatastore(new BayesParameters(1));
    // 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.setSigma_jSigma_k(100.0);
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  @Override
  protected void setUp() throws Exception {
    super.setUp();
    algorithm = new CBayesAlgorithm();
    store = new InMemoryBayesDatastore(new BayesParameters(1));
    //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.setSigma_jSigma_k(500.0);
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    if (params.get("dataSource").equals("hdfs")) {
      if (params.get("classifierType").equalsIgnoreCase("bayes")) {
        log.info("Testing Bayes Classifier");
        algorithm = new BayesAlgorithm();
        datastore = new InMemoryBayesDatastore(params);
      } else if (params.get("classifierType").equalsIgnoreCase("cbayes")) {
        log.info("Testing Complementary Bayes Classifier");
        algorithm = new CBayesAlgorithm();
        datastore = new InMemoryBayesDatastore(params);
      } else {
        throw new IllegalArgumentException("Unrecognized classifier type: "
            + params.get("classifierType"));
      }
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    String dataSource = (String) cmdLine.getValue(dataSourceOpt);
    if (dataSource.equals("hdfs")) {
      if (classifierType.equalsIgnoreCase("bayes")) {
        log.info("Testing Bayes Classifier");
        algorithm = new BayesAlgorithm();
        datastore = new InMemoryBayesDatastore(params);
      } else if (classifierType.equalsIgnoreCase("cbayes")) {
        log.info("Testing Complementary Bayes Classifier");
        algorithm = new CBayesAlgorithm();
        datastore = new InMemoryBayesDatastore(params);
      } else {
        throw new IllegalArgumentException("Unrecognized classifier type: "
            + classifierType);
      }
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    String dataSource = (String) cmdLine.getValue(dataSourceOpt);
    if ("hdfs".equals(dataSource)) {
      if ("bayes".equalsIgnoreCase(classifierType)) {
        log.info("Using Bayes Classifier");
        algorithm = new BayesAlgorithm();
        datastore = new InMemoryBayesDatastore(params);
      } else if ("cbayes".equalsIgnoreCase(classifierType)) {
        log.info("Using Complementary Bayes Classifier");
        algorithm = new CBayesAlgorithm();
        datastore = new InMemoryBayesDatastore(params);
      } else {
        throw new IllegalArgumentException("Unrecognized classifier type: " + classifierType);
      }
     
    } else {
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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
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