Examples of VectorWritable

de.jungblut.clustering.model.VectorWritable
Writable and comparable wrapper for dense vectors.
@author thomas.jungblut @deprecated use de.jungblut.writable.VectorWritable instead, but it is notcompatible to this class here.
de.jungblut.writable.VectorWritable
New and updated VectorWritable class that has all the other fancy combinations of vectors that are possible in my math library.
This class is not compatible to the one in the clustering package that has a totally different byte alignment in binary files. @author thomas.jungblut
org.apache.hama.commons.io.VectorWritable
Writable for dense vectors.
org.apache.hama.ml.writable.VectorWritable
Writable for dense vectors.
org.apache.mahout.math.VectorWritable

Examples of org.apache.mahout.math.VectorWritable

      VectorModelDistribution.class);
    VectorModelDistribution factory = cl.newInstance();
    
    Class<? extends Vector> vcl = ccl.loadClass(modelPrototype).asSubclass(Vector.class);
    Constructor<? extends Vector> v = vcl.getConstructor(int.class);
    factory.setModelPrototype(new VectorWritable(v.newInstance(prototypeSize)));
    return new DirichletState<VectorWritable>(factory, numModels, alpha_0);
  }

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Examples of org.apache.mahout.math.VectorWritable

                     OutputCollector<Text,DirichletCluster<VectorWritable>> output,
                     Reporter reporter) throws IOException {
    int k = Integer.parseInt(key.toString());
    Model<VectorWritable> model = newModels[k];
    while (values.hasNext()) {
      VectorWritable v = values.next();
      model.observe(v);
    }
    model.computeParameters();
    DirichletCluster<VectorWritable> cluster = state.getClusters().get(k);
    cluster.setModel(model);

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Examples of org.apache.mahout.math.VectorWritable

  
  @Override
  public void close() throws IOException {
    for (Canopy canopy : canopies) {
      Vector centroid = canopy.computeCentroid();
      VectorWritable vw = new VectorWritable();
      vw.set(centroid);
      outputCollector.collect(new Text("centroid"), vw);
    }
    super.close();
  }

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Examples of org.apache.mahout.math.VectorWritable

                     OutputCollector<WritableComparable<?>,VectorWritable> output,
                     Reporter reporter) throws IOException {
    
    Vector vector = new RandomAccessSparseVector(key.toString(), dimension, 10);
    while (values.hasNext()) {
      VectorWritable value = values.next();
      value.get().addTo(vector);
    }
    if (normPower != PartialVectorMerger.NO_NORMALIZING) {
      vector = vector.normalize(normPower);
    }
    if (sequentialAccess) {

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Examples of org.apache.mahout.math.VectorWritable

                                          OutputCollector<Text,VectorWritable> collector,
                                          Reporter reporter) throws IOException {
    double minDist = Double.MAX_VALUE;
    Canopy closest = null;
    boolean isCovered = false;
    VectorWritable vw = new VectorWritable();
    for (Canopy canopy : canopies) {
      double dist = measure.distance(canopy.getCenter().getLengthSquared(), canopy.getCenter(), point);
      if (dist < t1) {
        isCovered = true;
        vw.set(point);
        collector.collect(new Text(canopy.getIdentifier()), vw);
        reporter.setStatus("Emit Canopy ID:" + canopy.getIdentifier());
      } else if (dist < minDist) {
        minDist = dist;
        closest = canopy;
      }
    }
    // if the point is not contained in any canopies (due to canopy centroid
    // clustering), emit the point to the closest covering canopy.
    vw.set(point);
    if (!isCovered) {
      collector.collect(new Text(closest.getIdentifier()), vw);
      reporter.setStatus("Emit Closest Canopy ID:" + closest.getIdentifier());
    }
  }

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