Examples of nbInstances()


Examples of org.apache.mahout.classifier.df.data.Dataset.nbInstances()

    Path dataPath = new Path(dataStr);
    FileSystem ifs = dataPath.getFileSystem(conf);
    FSDataInputStream input = ifs.open(dataPath);
    Scanner scanner = new Scanner(input);
    DataConverter converter = new DataConverter(dataset);
    int nbInstances = dataset.nbInstances();
   
    int id = 0;
    while (scanner.hasNextLine()) {
      if (id % 1000 == 0) {
        log.info("progress : {} / {}", id, nbInstances);
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Examples of org.apache.mahout.df.data.Dataset.nbInstances()

    Path dataPath = new Path(dataStr);
    FileSystem ifs = dataPath.getFileSystem(conf);
    FSDataInputStream input = ifs.open(dataPath);
    Scanner scanner = new Scanner(input);
    DataConverter converter = new DataConverter(dataset);
    int nbInstances = dataset.nbInstances();
   
    int id = 0;
    while (scanner.hasNextLine()) {
      if (id % 1000 == 0) {
        log.info(String.format("progress : %d / %d", id, nbInstances));
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Examples of org.apache.mahout.df.data.Dataset.nbInstances()

    DefaultTreeBuilder treeBuilder = new DefaultTreeBuilder();
    treeBuilder.setM(m);
   
    Dataset dataset = Dataset.load(getConf(), datasetPath);
   
    ForestPredictions callback = isOob ? new ForestPredictions(dataset.nbInstances(), dataset.nblabels())
        : null;
   
    Builder forestBuilder;
   
    if (isPartial) {
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Examples of org.apache.mahout.df.data.Dataset.nbInstances()

    DefaultTreeBuilder treeBuilder = new DefaultTreeBuilder();
    treeBuilder.setM(m);
   
    Dataset dataset = Dataset.load(getConf(), datasetPath);
   
    ForestPredictions callback = isOob ? new ForestPredictions(dataset.nbInstances(), dataset.nblabels())
        : null;
   
    Builder forestBuilder;
   
    if (isPartial) {
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Examples of org.apache.mahout.df.data.Dataset.nbInstances()

    DefaultTreeBuilder treeBuilder = new DefaultTreeBuilder();
    treeBuilder.setM(m);
   
    Dataset dataset = Dataset.load(getConf(), datasetPath);
   
    ForestPredictions callback = isOob ? new ForestPredictions(dataset.nbInstances(), dataset.nblabels())
        : null;
   
    Builder forestBuilder;
   
    if (isPartial) {
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Examples of org.apache.mahout.df.data.Dataset.nbInstances()

    DefaultTreeBuilder treeBuilder = new DefaultTreeBuilder();
    treeBuilder.setM(m);
   
    Dataset dataset = Dataset.load(getConf(), datasetPath);
   
    ForestPredictions callback = isOob ? new ForestPredictions(dataset.nbInstances(), dataset.nblabels())
        : null;
   
    Builder forestBuilder;
   
    if (isPartial) {
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Examples of org.apache.mahout.df.data.Dataset.nbInstances()

    Path dataPath = new Path(dataStr);
    FileSystem ifs = dataPath.getFileSystem(conf);
    FSDataInputStream input = ifs.open(dataPath);
    Scanner scanner = new Scanner(input);
    DataConverter converter = new DataConverter(dataset);
    int nbInstances = dataset.nbInstances();
   
    int id = 0;
    while (scanner.hasNextLine()) {
      if (id % 1000 == 0) {
        log.info("progress : {} / {}", id, nbInstances);
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Examples of org.apache.mahout.df.data.Dataset.nbInstances()

    DefaultTreeBuilder treeBuilder = new DefaultTreeBuilder();
    treeBuilder.setM(m);

   Dataset dataset = Dataset.load(getConf(), datasetPath);

    ForestPredictions callback = (isOob) ? new ForestPredictions(dataset
        .nbInstances(), dataset.nblabels()) : null;

    Builder forestBuilder;

    if (isPartial) {
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Examples of org.apache.mahout.df.data.Dataset.nbInstances()

    DefaultTreeBuilder treeBuilder = new DefaultTreeBuilder();
    treeBuilder.setM(m);

    Dataset dataset = Dataset.load(getConf(), datasetPath);

    ForestPredictions callback = (isOob) ? new ForestPredictions(dataset
        .nbInstances(), dataset.nblabels()) : null;

    Builder forestBuilder;

    if (isPartial) {
View Full Code Here

Examples of org.apache.mahout.df.data.Dataset.nbInstances()

    DefaultTreeBuilder treeBuilder = new DefaultTreeBuilder();
    treeBuilder.setM(m);
   
    Dataset dataset = Dataset.load(getConf(), datasetPath);
   
    ForestPredictions callback = isOob ? new ForestPredictions(dataset.nbInstances(), dataset.nblabels())
        : null;
   
    Builder forestBuilder;
   
    if (isPartial) {
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