Package org.apache.mahout.df

Examples of org.apache.mahout.df.Bagging

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  protected void cleanup(Context context) throws IOException, InterruptedException {
    // prepare the data
    log.debug("partition: {} numInstances: {}", partition, instances.size());
   
    Data data = new Data(getDataset(), instances);
    Bagging bagging = new Bagging(getTreeBuilder(), data);
   
    TreeID key = new TreeID();
   
    log.debug("Building {} trees", nbTrees);
    SingleTreePredictions callback = null;
    int[] predictions = null;
    for (int treeId = 0; treeId < nbTrees; treeId++) {
      log.debug("Building tree number : {}", treeId);
      if (isOobEstimate() && !isNoOutput()) {
        callback = new SingleTreePredictions(data.size());
        predictions = callback.getPredictions();
      }
     
      Node tree = bagging.build(treeId, rng, callback);
     
      key.set(partition, firstTreeId + treeId);
     
      if (!isNoOutput()) {
        MapredOutput emOut = new MapredOutput(tree, predictions);
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   * @param data
   *          training data
   */
  public SequentialBuilder(Random rng, TreeBuilder treeBuilder, Data data) {
    this.rng = rng;
    bagging = new Bagging(treeBuilder, data);
  }
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    log.info("Loading the data...");
    data = loadData(conf, getDataset());
    log.info("Data loaded : {} instances", data.size());
   
    bagging = new Bagging(getTreeBuilder(), data);
  }
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      throw new IllegalStateException("Exception caught while loading the data: "
                                      + StringUtils.stringifyException(e));
    }
    log.info("Data loaded : {} instances", data.size());
   
    bagging = new Bagging(getTreeBuilder(), data);
  }
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  public void close() throws IOException {
    // prepare the data
    log.debug("partition: {} numInstances: {}", partition, instances.size());
   
    Data data = new Data(getDataset(), instances);
    Bagging bagging = new Bagging(getTreeBuilder(), data);
   
    TreeID key = new TreeID();
   
    log.debug("Building {} trees", nbTrees);
    SingleTreePredictions callback = null;
    int[] predictions = null;
    for (int treeId = 0; treeId < nbTrees; treeId++) {
      log.debug("Building tree number: {}", treeId);
      if (isOobEstimate() && !isNoOutput()) {
        callback = new SingleTreePredictions(data.size());
        predictions = callback.getPredictions();
      }
     
      Node tree = bagging.build(treeId, rng, callback);
     
      key.set(partition, firstTreeId + treeId);
     
      if (!isNoOutput()) {
        MapredOutput emOut = new MapredOutput(tree, predictions);
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    log.info("Loading the data...");
    data = loadData(conf, getDataset());
    log.info("Data loaded : {} instances", data.size());
   
    bagging = new Bagging(getTreeBuilder(), data);
  }
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  protected void cleanup(Context context) throws IOException, InterruptedException {
    // prepare the data
    log.debug("partition: {} numInstances: {}", partition, instances.size());
   
    Data data = new Data(getDataset(), instances);
    Bagging bagging = new Bagging(getTreeBuilder(), data);
   
    TreeID key = new TreeID();
   
    log.debug("Building {} trees", nbTrees);
    SingleTreePredictions callback = null;
    int[] predictions = null;
    for (int treeId = 0; treeId < nbTrees; treeId++) {
      log.debug("Building tree number : {}", treeId);
      if (isOobEstimate() && !isNoOutput()) {
        callback = new SingleTreePredictions(data.size());
        predictions = callback.getPredictions();
      }
     
      Node tree = bagging.build(treeId, rng, callback);
     
      key.set(partition, firstTreeId + treeId);
     
      if (!isNoOutput()) {
        MapredOutput emOut = new MapredOutput(tree, predictions);
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   * @param data
   *          training data
   */
  public SequentialBuilder(Random rng, TreeBuilder treeBuilder, Data data) {
    this.rng = rng;
    bagging = new Bagging(treeBuilder, data);
  }
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   * @param treeBuilder tree builder
   * @param data training data
   */
  public SequentialBuilder(Random rng, TreeBuilder treeBuilder, Data data) {
    this.rng = rng;
    bagging = new Bagging(treeBuilder, data);
  }
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    log.info("Loading the data...");
    data = loadData(conf, getDataset());
    log.info("Data loaded : " + data.size() + " instances");

    bagging = new Bagging(getTreeBuilder(), data);
  }
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Related Classes of org.apache.mahout.df.Bagging

  • org.apache.mahout.df.data.Data
  • org.apache.mahout.df.mapred.inmem.InMemMapper
  • org.apache.mahout.df.mapred.partial.Step1Mapper
  • org.apache.mahout.df.mapreduce.inmem.InMemMapper
  • org.apache.mahout.df.mapreduce.partial.Step1Mapper
  • org.apache.mahout.df.node.Node
  • org.apache.mahout.df.ref.SequentialBuilder
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