Package org.apache.mahout.math

Examples of org.apache.mahout.math.SequentialAccessSparseVector$DenseElement

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    @Override
    protected void reduce(WritableComparable<?> key, Iterable<VectorWritable> values, Context ctx)
      throws IOException, InterruptedException {
      Vector sum = ALS.sum(values.iterator());
      result.set(new SequentialAccessSparseVector(sum));
      ctx.write(key, result);
    }
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    @Override
    public void reduce(WritableComparable<?> key, Iterable<VectorWritable> vectors, Context ctx)
      throws IOException, InterruptedException {
      Vector merged = VectorWritable.merge(vectors.iterator()).get();
      result.set(new SequentialAccessSparseVector(merged));
      ctx.write(key, result);
      ctx.getCounter(Stats.NUM_USERS).increment(1);
    }
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    Vector xi = new DenseVector(n);

    double muAmplitude = 50.0;
    for (int i = 0; i < m; i++) {
      Vector dv = new SequentialAccessSparseVector(n);
      for (int j = 0; j < n * percent / 100; j++) {
        dv.setQuick(rnd.nextInt(n), muAmplitude * (rnd.nextDouble() - 0.25));
      }
      roww.set(i);
      vw.set(dv);
      w.append(roww, vw);
      xi.assign(dv, Functions.PLUS);
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public final class VectorHelperTest extends MahoutTestCase {

  @Test
  public void testJsonFormatting() throws Exception {
    Vector v = new SequentialAccessSparseVector(10);
    v.set(2, 3.1);
    v.set(4, 1.0);
    v.set(6, 8.1);
    v.set(7, -100);
    v.set(9, 12.2);
    String UNUSED = "UNUSED";
    String[] dictionary = {
        UNUSED, UNUSED, "two", UNUSED, "four", UNUSED, "six", "seven", UNUSED, "nine"
    };
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        VectorHelper.vectorToJson(v, dictionary, 2, false));
  }

  @Test
  public void testTopEntries() throws Exception {
    Vector v = new SequentialAccessSparseVector(10);
    v.set(2, 3.1);
    v.set(4, 1.0);
    v.set(6, 8.1);
    v.set(7, -100);
    v.set(9, 12.2);
    v.set(1, 0.0);
    v.set(3, 0.0);
    v.set(8, 2.7);
    // check if sizeOFNonZeroElementsInVector = maxEntries
    assertEquals(6, VectorHelper.topEntries(v, 6).size());
    // check if sizeOfNonZeroElementsInVector < maxEntries
    assertTrue(VectorHelper.topEntries(v, 9).size() < 9);
    // check if sizeOfNonZeroElementsInVector > maxEntries
    assertTrue(VectorHelper.topEntries(v, 5).size() < Iterables.size(v.nonZeroes()));
  }
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    assertTrue(VectorHelper.topEntries(v, 5).size() < Iterables.size(v.nonZeroes()));
  }

  @Test
  public void testTopEntriesWhenAllZeros() throws Exception {
    Vector v = new SequentialAccessSparseVector(10);
    v.set(2, 0.0);
    v.set(4, 0.0);
    v.set(6, 0.0);
    v.set(7, 0);
    v.set(9, 0.0);
    v.set(1, 0.0);
    v.set(3, 0.0);
    v.set(8, 0.0);
    assertEquals(0, VectorHelper.topEntries(v, 6).size());
  }
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    }

    Preconditions.checkArgument((vA != null || vB != null) || (vOut != null));

    if (vOut == null) {
      vOut = new SequentialAccessSparseVector(dimsA + dimsB);
      if (isNamed) {
        vOut = new NamedVector(vOut, name);
      }
    }
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    VectorWritable vw = new VectorWritable();
    IntWritable roww = new IntWritable();

    double muAmplitude = 50.0;
    for (int i = 0; i < m; i++) {
      Vector dv = new SequentialAccessSparseVector(n);
      for (int j = 0; j < n * percent / 100; j++) {
        dv.setQuick(rnd.nextInt(n), muAmplitude * (rnd.nextDouble() - 0.5));
      }
      roww.set(i);
      vw.set(dv);
      w.append(roww, vw);
    }
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  static double distributedSimilarity(double[] one,
                                      double[] two,
                                      Class<? extends VectorSimilarityMeasure> similarityMeasureClass) {
    double rand = computeSimilarity(one, two, similarityMeasureClass, new RandomAccessSparseVector(one.length));
    double seq = computeSimilarity(one, two, similarityMeasureClass, new SequentialAccessSparseVector(one.length));
    double dense = computeSimilarity(one, two, similarityMeasureClass, new DenseVector(one.length));
    assertEquals(seq, rand, 1.0e-10);
    assertEquals(seq, dense, 1.0e-10);
    assertEquals(dense, rand, 1.0e-10);
    return seq;
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  public abstract void readFields(DataInput in) throws IOException;
 
  @Override
  public Vector select(Vector probabilities) {
    int maxValueIndex = probabilities.maxValueIndex();
    Vector weights = new SequentialAccessSparseVector(probabilities.size());
    weights.set(maxValueIndex, 1.0);
    return weights;
  }
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