Package org.apache.mahout.common

Examples of org.apache.mahout.common.Parameters

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  }
 
  @Override
  protected void setup(Context context) throws IOException, InterruptedException {
    super.setup(context);
    Parameters params = Parameters.fromString(context.getConfiguration().get("job.parameters", ""));
    maxTransactionLength = Integer.valueOf(params.get("maxTransactionLength", "100"));
  }
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  }
 
  @Override
  protected void setup(Context context) throws IOException, InterruptedException {
    super.setup(context);
    Parameters params = Parameters.fromString(context.getConfiguration().get("job.parameters", ""));
    splitter = Pattern.compile(params.get("splitPattern", "[ \t]*\t[ \t]*"));
   
    int selectedFieldCount = Integer.valueOf(params.get("selectedFieldCount", "0"));
    selectedFields = new int[selectedFieldCount];
    for (int i = 0; i < selectedFieldCount; i++) {
      selectedFields[i] = Integer.valueOf(params.get("field" + i, "0"));
    }
   
    int groupingFieldCount = Integer.valueOf(params.get("groupingFieldCount", "0"));
    groupingFields = new int[groupingFieldCount];
    for (int i = 0; i < groupingFieldCount; i++) {
      groupingFields[i] = Integer.valueOf(params.get("gfield" + i, "0"));
    }
   
  }
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      String vocabCountString = stringifier.toString(vocabCount);
      vocabCountString = job.get("cnaivebayes.vocabCount", vocabCountString);
      vocabCount = stringifier.fromString(vocabCountString);
     
      Parameters params = Parameters.fromString(job.get("bayes.parameters", ""));
      alphaI = Double.valueOf(params.get("alpha_i", "1.0"));
     
    } catch (IOException ex) {
      log.warn(ex.toString(), ex);
    }
  }
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  @Override
  public void configure(JobConf job) {
    try {
      log.info("Bayes Parameter {}", job.get("bayes.parameters"));
      Parameters params = Parameters.fromString(job.get("bayes.parameters", ""));
      log.info("{}", params.print());
      Algorithm algorithm;
      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);
        } else {
          throw new IllegalArgumentException("Unrecognized classifier type: " + params.get("classifierType"));
        }
       
      } else {
        throw new IllegalArgumentException("Unrecognized dataSource type: " + params.get("dataSource"));
      }
      classifier = new ClassifierContext(algorithm, datastore);
      classifier.initialize();
     
      defaultCategory = params.get("defaultCat");
      gramSize = Integer.valueOf(params.get("gramSize"));
    } catch (IOException ex) {
      log.warn(ex.toString(), ex);
    } catch (InvalidDatastoreException e) {
      log.error(e.toString(), e);
    }
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      if (cmdLine.hasOption(helpOpt)) {
        CommandLineUtil.printHelp(group);
        return;
      }
     
      Parameters params = new Parameters();
     
      if (cmdLine.hasOption(minSupportOpt)) {
        String minSupportString = (String) cmdLine.getValue(minSupportOpt);
        params.set("minSupport", minSupportString);
      }
      if (cmdLine.hasOption(maxHeapSizeOpt)) {
        String maxHeapSizeString = (String) cmdLine.getValue(maxHeapSizeOpt);
        params.set("maxHeapSize", maxHeapSizeString);
      }
      if (cmdLine.hasOption(numGroupsOpt)) {
        String numGroupsString = (String) cmdLine.getValue(numGroupsOpt);
        params.set("numGroups", numGroupsString);
      }
     
      if (cmdLine.hasOption(treeCacheOpt)) {
        String numTreeCacheString = (String) cmdLine.getValue(treeCacheOpt);
        params.set("treeCacheSize", numTreeCacheString);
      }
     
      if (cmdLine.hasOption(recordSplitterOpt)) {
        String patternString = (String) cmdLine.getValue(recordSplitterOpt);
        params.set("splitPattern", patternString);
      }
     
      String encoding = "UTF-8";
      if (cmdLine.hasOption(encodingOpt)) {
        encoding = (String) cmdLine.getValue(encodingOpt);
      }
      params.set("encoding", encoding);
      Path inputDir = new Path(cmdLine.getValue(inputDirOpt).toString());
      Path outputDir = new Path(cmdLine.getValue(outputOpt).toString());
     
      params.set("input", inputDir.toString());
      params.set("output", outputDir.toString());
     
      String classificationMethod = (String) cmdLine.getValue(methodOpt);
      if (classificationMethod.equalsIgnoreCase("sequential")) {
        runFPGrowth(params);
      } else if (classificationMethod.equalsIgnoreCase("mapreduce")) {
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  @Override
  protected void setup(Context context) throws IOException, InterruptedException {
   
    super.setup(context);
    Parameters params = Parameters.fromString(context.getConfiguration().get(PFPGrowth.PFP_PARAMETERS, ""));
   
    int i = 0;
    for (Pair<String,Long> e : PFPGrowth.deserializeList(params, PFPGrowth.F_LIST, context.getConfiguration())) {
      featureReverseMap.add(e.getFirst());
      fMap.put(e.getFirst(), i++);
     
    }
   
    Map<String,Long> gList = PFPGrowth.deserializeMap(params, PFPGrowth.G_LIST, context.getConfiguration());
   
    for (Entry<String,Long> entry : gList.entrySet()) {
      IntArrayList groupList = groupFeatures.get(entry.getValue());
      Integer itemInteger = fMap.get(entry.getKey());
      if (groupList != null) {
        groupList.add(itemInteger);
      } else {
        groupList = new IntArrayList();
        groupList.add(itemInteger);
        groupFeatures.put(entry.getValue(), groupList);
      }
     
    }
    maxHeapSize = Integer.valueOf(params.get(PFPGrowth.MAX_HEAPSIZE, "50"));
    minSupport = Integer.valueOf(params.get(PFPGrowth.MIN_SUPPORT, "3"));
    FPTreeDepthCache.setFirstLevelCacheSize(Integer.valueOf(params.get(PFPGrowth.TREE_CACHE_SIZE, Integer
        .toString(FPTreeDepthCache.getFirstLevelCacheSize()))));
  }
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  }
 
  @Override
  protected void setup(Context context) throws IOException, InterruptedException {
    super.setup(context);
    Parameters params = Parameters.fromString(context.getConfiguration().get(PFPGrowth.PFP_PARAMETERS, ""));
   
    OpenObjectIntHashMap<String> fMap = new OpenObjectIntHashMap<String>();
    int i = 0;
    for (Pair<String,Long> e : PFPGrowth.deserializeList(params, PFPGrowth.F_LIST, context.getConfiguration())) {
      fMap.put(e.getFirst(), i++);
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  }
 
  @Override
  protected void setup(Context context) throws IOException, InterruptedException {
    super.setup(context);
    Parameters params = Parameters.fromString(context.getConfiguration().get("pfp.parameters", ""));
    maxHeapSize = Integer.valueOf(params.get("maxHeapSize", "50"));
   
  }
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  }
 
  @Override
  protected void setup(Context context) throws IOException, InterruptedException {
    super.setup(context);
    Parameters params = Parameters.fromString(context.getConfiguration().get(PFPGrowth.PFP_PARAMETERS, ""));
   
    int i = 0;
    for (Pair<String,Long> e : PFPGrowth.deserializeList(params, PFPGrowth.F_LIST, context.getConfiguration())) {
      fMap.put(e.getFirst(), i++);
    }
   
    splitter = Pattern.compile(params.get(PFPGrowth.SPLIT_PATTERN, PFPGrowth.SPLITTER.toString()));
   
  }
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  }
 
  @Override
  protected void setup(Context context) throws IOException, InterruptedException {
    super.setup(context);
    Parameters params = Parameters.fromString(context.getConfiguration().get(PFPGrowth.PFP_PARAMETERS, ""));
    splitter = Pattern.compile(params.get(PFPGrowth.SPLIT_PATTERN, PFPGrowth.SPLITTER.toString()));
  }
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  • org.apache.mahout.classifier.bayes.mapreduce.bayes.BayesThetaNormalizerReducer
  • org.apache.mahout.classifier.bayes.mapreduce.cbayes.CBayesThetaNormalizerMapper
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  • org.apache.mahout.classifier.bayes.mapreduce.common.BayesFeatureMapper
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