Examples of org.apache.mahout.math.Vector.iterateNonZero()

org.apache.mahout.math.Vector.iterateNonZero()
Iterates over all non-zero elements.
NOTE: Implementations may choose to reuse the Element returned for performance reasons, so if you need a copy of it, you should call {@link #getElement} for the given index @return An {@link Iterator} over all non-zero elements

        Vector.Element elt = iter.next();
        result += Math.abs(elt.get());
      }
      
    } else {
      Iterator<Vector.Element> iter = res.iterateNonZero();
      while (iter.hasNext()) {
        Vector.Element elt = iter.next();
        result += Math.abs(elt.get() * getWeights().get(elt.index()));
      }
    }

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    long userID = key.get();
    if (usersToRecommendFor != null && !usersToRecommendFor.contains(userID)) {
      return;
    }
    Vector userVector = maybePruneUserVector(value.get());
    Iterator<Vector.Element> it = userVector.iterateNonZero();
    VarIntWritable itemIndexWritable = new VarIntWritable();
    VectorOrPrefWritable vectorOrPref = new VectorOrPrefWritable();
    while (it.hasNext()) {
      Vector.Element e = it.next();
      itemIndexWritable.set(e.index());

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                    Reporter reporter) throws IOException {
      boolean firstIsOutFrag =  ((VectorWritable)v.get(0)).get().size() == outCardinality;
      Vector outFrag = firstIsOutFrag ? ((VectorWritable)v.get(0)).get() : ((VectorWritable)v.get(1)).get();
      Vector multiplier = firstIsOutFrag ? ((VectorWritable)v.get(1)).get() : ((VectorWritable)v.get(0)).get();


      Iterator<Vector.Element> it = multiplier.iterateNonZero();
      while (it.hasNext()) {
        Vector.Element e = it.next();
        row.set(e.index());
        VectorWritable outVector = new VectorWritable(outFrag.times(e.get()));
        out.collect(row, outVector);

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    Iterator<VectorWritable> it = values.iterator();
    if (!it.hasNext()) {
      return;
    }
    Vector value = it.next().get();
    Iterator<Vector.Element> it1 = value.iterateNonZero();
    Vector vector = new RandomAccessSparseVector((int) featureCount, value.getNumNondefaultElements());
    while (it1.hasNext()) {
      Vector.Element e = it1.next();
      if (!dictionary.containsKey(e.index())) {
        continue;

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  @Override
  protected void map(WritableComparable<?> key, VectorWritable value, Context context)
    throws IOException, InterruptedException {
    Vector vector = value.get();
    Iterator<Vector.Element> it = vector.iterateNonZero();


    while (it.hasNext()) {
      Vector.Element e = it.next();
      context.write(new IntWritable(e.index()), ONE);
    }

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      boolean firstIsOutFrag =  ((VectorWritable)v.get(0)).get().size() == outCardinality;
      Vector outFrag = firstIsOutFrag ? ((VectorWritable)v.get(0)).get() : ((VectorWritable)v.get(1)).get();
      Vector multiplier = firstIsOutFrag ? ((VectorWritable)v.get(1)).get() : ((VectorWritable)v.get(0)).get();


      VectorWritable outVector = new VectorWritable();
      Iterator<Vector.Element> it = multiplier.iterateNonZero();
      while (it.hasNext()) {
        Vector.Element e = it.next();
        row.set(e.index());
        outVector.set(outFrag.times(e.get()));
        out.collect(row, outVector);

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    Iterator<VectorWritable> it = values.iterator();
    if (!it.hasNext()) {
      return;
    }
    Vector value = it.next().get();
    Iterator<Vector.Element> it1 = value.iterateNonZero();
    Vector vector = new RandomAccessSparseVector((int) featureCount, value.getNumNondefaultElements());
    while (it1.hasNext()) {
      Vector.Element e = it1.next();
      if (!dictionary.containsKey(e.index())) {
        continue;

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  @Override
  protected void map(WritableComparable<?> key, VectorWritable value,
      Context context) throws IOException, InterruptedException {
    Vector probabilities = classifier.classify(value.get());
    Vector selections = policy.select(probabilities);
    for (Iterator<Element> it = selections.iterateNonZero(); it.hasNext();) {
      Element el = it.next();
      classifier.train(el.index(), value.get(), el.get());
    }
  }

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      row = row.normalize(1);
      if (stayingProbability != 1.0) {
        row.assign(Functions.MULT, stayingProbability);
      }


      Iterator<Vector.Element> it = row.iterateNonZero();
      while (it.hasNext()) {
        Vector.Element e = it.next();
        RandomAccessSparseVector tmp = new RandomAccessSparseVector(numVertices, 1);
        tmp.setQuick(rowIndex, e.get());
        r.set(e.index());

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        for (int i = 0; i < vecSize; i++) {
          extendAColIfNeeded(i, aRowCount + 1);
          aCols[i].setQuick(aRowCount, vec.getQuick(i));
        }
      } else if (vec.size() > 0) {
        for (Iterator<Vector.Element> vecIter = vec.iterateNonZero(); vecIter.hasNext();) {
          Vector.Element vecEl = vecIter.next();
          int i = vecEl.index();
          extendAColIfNeeded(i, aRowCount + 1);
          aCols[i].setQuick(aRowCount, vecEl.get());
        }

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