Examples of MapredOutput

Examples of org.apache.mahout.classifier.df.mapreduce.MapredOutput

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   */
  protected static DecisionForest processOutput(TreeID[] keys, MapredOutput[] values) {
    List<Node> trees = Lists.newArrayList();

    for (int index = 0; index < keys.length; index++) {
      MapredOutput value = values[index];
      trees.add(value.getTree());
    }
   
    return new DecisionForest(trees);
  }
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Examples of org.apache.mahout.classifier.df.mapreduce.MapredOutput

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      Node tree = bagging.build(rng);
     
      key.set(partition, firstTreeId + treeId);
     
      if (isOutput()) {
        MapredOutput emOut = new MapredOutput(tree);
        context.write(key, emOut);
      }
    }
  }
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Examples of org.apache.mahout.classifier.df.mapreduce.MapredOutput

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    log.debug("Building...");
    Node tree = bagging.build(rng);
   
    if (isOutput()) {
      log.debug("Outputing...");
      MapredOutput mrOut = new MapredOutput(tree);
     
      context.write(key, mrOut);
    }
  }
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Examples of org.apache.mahout.classifier.df.mapreduce.MapredOutput

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   */
  private static DecisionForest processOutput(Map<Integer,MapredOutput> output) {
    List<Node> trees = Lists.newArrayList();
   
    for (Map.Entry<Integer,MapredOutput> entry : output.entrySet()) {
      MapredOutput value = entry.getValue();
      trees.add(value.getTree());
    }
   
    return new DecisionForest(trees);
  }
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Examples of org.apache.mahout.classifier.df.mapreduce.MapredOutput

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    // read all the outputs
    int index = 0;
    for (Path path : outfiles) {
      for (Pair<TreeID,MapredOutput> record : new SequenceFileIterable<TreeID, MapredOutput>(path, conf)) {
        TreeID key = record.getFirst();
        MapredOutput value = record.getSecond();
        if (keys != null) {
          keys[index] = key;
        }
        if (trees != null) {
          trees[index] = value.getTree();
        }
        index++;
      }
    }
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Examples of org.apache.mahout.classifier.df.mapreduce.MapredOutput

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      for (int treeId = 0; treeId < nbTrees; treeId++) {
        Node tree = new Leaf(rng.nextInt(100));

        keys[index] = new TreeID(partition, treeId);
        values[index] = new MapredOutput(tree, nextIntArray(rng, NUM_INSTANCES));

        index++;
      }
     
      firstIds[p] = firstId;
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Examples of org.apache.mahout.classifier.df.mapreduce.MapredOutput

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      for (int treeId = 0; treeId < nbTrees; treeId++) {
        Node tree = new Leaf(rng.nextInt(100));

        keys[index] = new TreeID(partition, treeId);
        values[index] = new MapredOutput(tree, nextIntArray(rng, NUM_INSTANCES));

        index++;
      }
     
      firstIds[p] = firstId;
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Examples of org.apache.mahout.df.mapreduce.MapredOutput

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    Path[] outfiles = DFUtils.listOutputFiles(fs, outputPath);
   
    // read all the outputs
    TreeID key = new TreeID();
    MapredOutput value = new MapredOutput();
   
    int index = 0;
    for (Path path : outfiles) {
      Reader reader = new Reader(fs, path, conf);
     
      try {
        while (reader.next(key, value)) {
          if (keys != null) {
            keys[index] = key.clone();
          }
         
          if (trees != null) {
            trees[index] = value.getTree();
          }
         
          processOutput(firstIds, key, value, callback);
         
          index++;
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Examples of org.apache.mahout.df.mapreduce.MapredOutput

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    Path[] outfiles = DFUtils.listOutputFiles(fs, outputPath);
   
    // import the InMemOutputs
    IntWritable key = new IntWritable();
    MapredOutput value = new MapredOutput();
   
    for (Path path : outfiles) {
      Reader reader = new Reader(fs, path, conf);
     
      try {
        while (reader.next(key, value)) {
          output.put(key.get(), value.clone());
        }
      } finally {
        reader.close();
      }
    }
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Examples of org.apache.mahout.df.mapreduce.MapredOutput

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   */
  private static DecisionForest processOutput(Map<Integer,MapredOutput> output, PredictionCallback callback) {
    List<Node> trees = new ArrayList<Node>();
   
    for (Map.Entry<Integer,MapredOutput> entry : output.entrySet()) {
      MapredOutput value = entry.getValue();
     
      trees.add(value.getTree());
     
      if (callback != null) {
        int[] predictions = value.getPredictions();
        for (int index = 0; index < predictions.length; index++) {
          callback.prediction(entry.getKey(), index, predictions[index]);
        }
      }
    }
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