List of iterateNonZero() Examples

Examples of iterateNonZero()

de.jungblut.math.DoubleVector.iterateNonZero()
org.apache.mahout.math.DenseVector.iterateNonZero()
Returns an iterator that traverses this Vector from 0 to cardinality-1, in that order. @see Iterable#iterator
org.apache.mahout.math.RandomAccessSparseVector.iterateNonZero()
NOTE: this implementation reuses the Vector.Element instance for each call of next(). If you need to preserve the instance, you need to make a copy of it @return an {@link NonZeroIterator} over the Elements. @see #getElement(int)
org.apache.mahout.math.SequentialAccessSparseVector.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
org.apache.mahout.matrix.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 java.util.Iterator} over all non-zero elements

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

      predictionVector = predictionVector == null
          ? prefAndSimilarityColumn.getSimilarityColumn()
          : predictionVector.plus(prefAndSimilarityColumn.getSimilarityColumn());
    }


    Iterator<Vector.Element> predictions = predictionVector.iterateNonZero();
    List<RecommendedItem> recommendations = new ArrayList<RecommendedItem>();
    while (predictions.hasNext() && recommendations.size() < recommendationsPerUser) {
      Vector.Element prediction = predictions.next();
      /* NaN means the user already knows this item */
      if (!Double.isNaN(prediction.get())) {

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


    for (PrefAndSimilarityColumnWritable prefAndSimilarityColumn : values) {
      Vector simColumn = prefAndSimilarityColumn.getSimilarityColumn();
      float prefValue = prefAndSimilarityColumn.getPrefValue();
      /* count the number of items used for each prediction */
      Iterator<Vector.Element> usedItemsIterator = simColumn.iterateNonZero();
      while (usedItemsIterator.hasNext()) {
        int itemIDIndex = usedItemsIterator.next().index();
        numberOfSimilarItemsUsed.setQuick(itemIDIndex, numberOfSimilarItemsUsed.getQuick(itemIDIndex) + 1);
      }

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

      Vector v = generateRandomDoc(numWords, sparsity);
      LDAInference.InferredDocument doc = lda.infer(v);


      assertEquals("wordCounts", doc.getWordCounts(), v);
      assertNotNull("gamma", doc.getGamma());
      for (Iterator<Vector.Element> iter = v.iterateNonZero();
          iter.hasNext(); ) {
        int w = iter.next().index();
        for (int k = 0; k < NUM_TOPICS; ++k) {
          double logProb = doc.phi(k, w);
          assertTrue(k + " " + w + " logProb " + logProb, logProb <= 0.0);

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