Package org.apache.mahout.classifier.bayes

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

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  public void initClassifierContext() {
    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) {
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        throw new IllegalArgumentException(modelDir + " does not exist or is not a directory");
      }
     
      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
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    params.setBasePath(modelBasePath);

    log.info("Loading model from: {}", params.print());
   
    Algorithm algorithm;
    Datastore datastore;
   
    String classifierType = (String) cmdLine.getValue(typeOpt);
   
    String dataSource = (String) cmdLine.getValue(dataSourceOpt);
    if ("hdfs".equals(dataSource)) {
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    try {
      BayesParameters params = new BayesParameters(job.get("bayes.parameters", ""));
      log.info("Bayes Parameter {}", params.print());
      log.info("{}", params.print());
      Algorithm algorithm;
      Datastore datastore;
     
      if ("hdfs".equals(params.get("dataSource"))) {
        if ("bayes".equalsIgnoreCase(params.get("classifierType"))) {
          log.info("Testing Bayes Classifier");
          algorithm = new BayesAlgorithm();
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