Package org.apache.mahout.math

Examples of org.apache.mahout.math.RandomAccessSparseVector$NonZeroIterator

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      }

      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());
        ctx.write(r, new VectorWritable(tmp));
      }
    }
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    ToolRunner.run(new RandomWalkWithRestartJob(), args);
  }

  @Override
  protected Vector createDampingVector(int numVertices, double stayingProbability) {
    Vector dampingVector = new RandomAccessSparseVector(numVertices, 1);
    dampingVector.set(sourceVertexIndex, 1.0 - stayingProbability);
    return dampingVector;
  }
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  private FileSystem fs;

  private static List<VectorWritable> getPointsWritable() {
    List<VectorWritable> points = Lists.newArrayList();
    for (double[] fr : RAW) {
      Vector vec = new RandomAccessSparseVector(fr.length);
      vec.assign(fr);
      points.add(new VectorWritable(vec));
    }
    return points;
  }
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  }

  private static List<Vector> getPoints() {
    List<Vector> points = Lists.newArrayList();
    for (double[] fr : RAW) {
      Vector vec = new RandomAccessSparseVector(fr.length);
      vec.assign(fr);
      points.add(vec);
    }
    return points;
  }
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  protected AbstractCluster() {}
 
  protected AbstractCluster(Vector point, int id2) {
    this.setNumPoints(0);
    this.setCenter(new RandomAccessSparseVector(point));
    this.setRadius(point.like());
    this.id = id2;
  }
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    this.id = id2;
  }
 
  protected AbstractCluster(Vector center2, Vector radius2, int id2) {
    this.setNumPoints(0);
    this.setCenter(new RandomAccessSparseVector(center2));
    this.setRadius(new RandomAccessSparseVector(radius2));
    this.id = id2;
  }
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      String[] tokens = TasteHadoopUtils.splitPrefTokens(line.toString());
      int userID = Integer.parseInt(tokens[0]);
      int itemID = Integer.parseInt(tokens[1]);
      float rating = Float.parseFloat(tokens[2]);

      Vector ratings = new RandomAccessSparseVector(Integer.MAX_VALUE, 1);
      ratings.set(userID, rating);

      ctx.write(new IntWritable(itemID), new VectorWritable(ratings, true));
    }
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      RunningAverage avg = new FullRunningAverage();
      Iterator<Vector.Element> elements = v.get().iterateNonZero();
      while (elements.hasNext()) {
        avg.addDatum(elements.next().get());
      }
      Vector vector = new RandomAccessSparseVector(Integer.MAX_VALUE, 1);
      vector.setQuick(r.get(), avg.getAverage());
      ctx.write(new IntWritable(0), new VectorWritable(vector));
    }
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  private FileSystem fs;
 
  private static List<VectorWritable> getPoints() {
    List<VectorWritable> points = Lists.newArrayList();
    for (double[] fr : RAW) {
      Vector vec = new RandomAccessSparseVector(fr.length);
      vec.assign(fr);
      points.add(new VectorWritable(vec));
    }
    return points;
  }
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    assertEquals(m, mtt, EPSILON);
  }

  @Test
  public void testMatrixTimesVector() throws Exception {
    Vector v = new RandomAccessSparseVector(50);
    v.assign(1.0);
    Matrix m = SolverTest.randomSequentialAccessSparseMatrix(100, 90, 50, 20, 1.0);
    DistributedRowMatrix dm = randomDistributedMatrix(100, 90, 50, 20, 1.0, false);

    Vector expected = m.times(v);
    Vector actual = dm.times(v);
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