Examples of BayesAlgorithm

Examples of org.apache.mahout.classifier.bayes.BayesAlgorithm

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    try {
      //<start id="mahout.bayes.setup"/>
      BayesParameters p = new BayesParameters();
      p.set("basePath", modelDir.getCanonicalPath());
      Datastore ds = new InMemoryBayesDatastore(p);
      Algorithm a  = new BayesAlgorithm();
      ClassifierContext ctx = new ClassifierContext(a,ds);
      ctx.initialize();
      //<end id="mahout.bayes.setup"/>
      synchronized (swapContext) {
          this.ctx = ctx; // swap upon successful load.
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Examples of org.apache.mahout.classifier.bayes.BayesAlgorithm

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      }
     
      BayesParameters p = new BayesParameters();
      p.set("basePath", modelDir.getCanonicalPath());
      Datastore ds = new InMemoryBayesDatastore(p);
      Algorithm a  = new BayesAlgorithm();
      ClassifierContext ctx = new ClassifierContext(a,ds);
      ctx.initialize();
     
      //TODO: make the analyzer configurable
      StandardAnalyzer analyzer = new StandardAnalyzer(Version.LUCENE_36);
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Examples of org.apache.mahout.classifier.bayes.BayesAlgorithm

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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);
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Examples of org.apache.mahout.classifier.bayes.BayesAlgorithm

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      Datastore datastore;
     
      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);
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Examples of org.apache.mahout.classifier.bayes.algorithm.BayesAlgorithm

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    Datastore datastore;
   
    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"));
      }
     
    } else if (params.get("dataSource").equals("hbase")) {
      if (params.get("classifierType").equalsIgnoreCase("bayes")) {
        log.info("Testing Bayes Classifier");
        algorithm = new BayesAlgorithm();
        datastore = new HBaseBayesDatastore(params.get("basePath"), params);
      } else if (params.get("classifierType").equalsIgnoreCase("cbayes")) {
        log.info("Testing Complementary Bayes Classifier");
        algorithm = new CBayesAlgorithm();
        datastore = new HBaseBayesDatastore(params.get("basePath"), params);
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Examples of org.apache.mahout.classifier.bayes.algorithm.BayesAlgorithm

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    String dataSource = (String) cmdLine.getValue(dataSourceOpt);
    if (dataSource.equals("hdfs")) {
      if (classifierType.equalsIgnoreCase("bayes")) {
        log.info("Using Bayes Classifier");
        algorithm = new BayesAlgorithm();
        datastore = new InMemoryBayesDatastore(params);
      } else if (classifierType.equalsIgnoreCase("cbayes")) {
        log.info("Using Complementary Bayes Classifier");
        algorithm = new CBayesAlgorithm();
        datastore = new InMemoryBayesDatastore(params);
      } else {
        throw new IllegalArgumentException("Unrecognized classifier type: " + classifierType);
      }
     
    } else if (dataSource.equals("hbase")) {
      if (classifierType.equalsIgnoreCase("bayes")) {
        log.info("Using Bayes Classifier");
        algorithm = new BayesAlgorithm();
        datastore = new HBaseBayesDatastore(modelBasePath, params);
      } else if (classifierType.equalsIgnoreCase("cbayes")) {
        log.info("Using Complementary Bayes Classifier");
        algorithm = new CBayesAlgorithm();
        datastore = new HBaseBayesDatastore(modelBasePath, params);
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Examples of org.apache.mahout.classifier.bayes.algorithm.BayesAlgorithm

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  private InMemoryBayesDatastore store;
 
  @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.setSigmaJSigmaK(100.0);
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Examples of org.apache.mahout.classifier.bayes.algorithm.BayesAlgorithm

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    params.set("dataSource", "hdfs");
    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"));
   
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Examples of org.apache.mahout.classifier.bayes.algorithm.BayesAlgorithm

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      Datastore datastore;
     
      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"));
        }
       
      } else if (params.get("dataSource").equals("hbase")) {
        if (params.get("classifierType").equalsIgnoreCase("bayes")) {
          log.info("Testing Bayes Classifier");
          algorithm = new BayesAlgorithm();
          datastore = new HBaseBayesDatastore(params.get("basePath"), params);
        } else if (params.get("classifierType").equalsIgnoreCase("cbayes")) {
          log.info("Testing Complementary Bayes Classifier");
          algorithm = new CBayesAlgorithm();
          datastore = new HBaseBayesDatastore(params.get("basePath"), params);
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Examples of org.apache.mahout.classifier.bayes.algorithm.BayesAlgorithm

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      Datastore datastore;
     
      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"));
        }
       
      } else if (params.get("dataSource").equals("hbase")) {
        if (params.get("classifierType").equalsIgnoreCase("bayes")) {
          log.info("Testing Bayes Classifier");
          algorithm = new BayesAlgorithm();
          datastore = new HBaseBayesDatastore(params.get("basePath"), params);
        } else if (params.get("classifierType").equalsIgnoreCase("cbayes")) {
          log.info("Testing Complementary Bayes Classifier");
          algorithm = new CBayesAlgorithm();
          datastore = new HBaseBayesDatastore(params.get("basePath"), params);
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