Package org.apache.mahout.classifier.df

Examples of org.apache.mahout.classifier.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);
    for (int treeId = 0; treeId < nbTrees; treeId++) {
      log.debug("Building tree number : {}", treeId);
     
      Node tree = bagging.build(rng);
     
      key.set(partition, firstTreeId + treeId);
     
      if (isOutput()) {
        MapredOutput emOut = new MapredOutput(tree);
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    log.info("Loading the data...");
    Data data = loadData(conf, getDataset());
    log.info("Data loaded : {} instances", data.size());
   
    bagging = new Bagging(getTreeBuilder(), data);
  }
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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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  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);
    for (int treeId = 0; treeId < nbTrees; treeId++) {
      log.debug("Building tree number : {}", treeId);
     
      Node tree = bagging.build(rng);
     
      key.set(partition, firstTreeId + treeId);
     
      if (isOutput()) {
        MapredOutput emOut = new MapredOutput(tree);
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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);
    for (int treeId = 0; treeId < nbTrees; treeId++) {
      log.debug("Building tree number : {}", treeId);
     
      Node tree = bagging.build(rng);
     
      key.set(partition, firstTreeId + treeId);
     
      if (!isNoOutput()) {
        MapredOutput emOut = new MapredOutput(tree);
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    log.info("Loading the data...");
    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);
    for (int treeId = 0; treeId < nbTrees; treeId++) {
      log.debug("Building tree number : {}", treeId);
     
      Node tree = bagging.build(rng);
     
      key.set(partition, firstTreeId + treeId);
     
      if (isOutput()) {
        MapredOutput emOut = new MapredOutput(tree);
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Related Classes of org.apache.mahout.classifier.df.Bagging

  • org.apache.mahout.classifier.df.data.Data
  • org.apache.mahout.classifier.df.mapreduce.inmem.InMemMapper
  • org.apache.mahout.classifier.df.mapreduce.partial.Step1Mapper
  • org.apache.mahout.classifier.df.ref.SequentialBuilder
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