org.apache.mahout.math.WeightedVector类的使用及代码示例

x33g5p2x  于2022-02-03 转载在 其他  
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本文整理了Java中org.apache.mahout.math.WeightedVector类的一些代码示例，展示了WeightedVector类的具体用法。这些代码示例主要来源于Github/Stackoverflow/Maven等平台，是从一些精选项目中提取出来的代码，具有较强的参考意义，能在一定程度帮忙到你。WeightedVector类的具体详情如下：
包路径：org.apache.mahout.math.WeightedVector
类名称：WeightedVector

WeightedVector介绍

[英]Decorates a vector with a floating point weight and an index.
[中]用浮点权重和索引装饰向量。

代码示例

代码示例来源：origin: apache/mahout

  1. public static WeightedVector project(Vector v, Vector projection, int index) {
  2.  return new WeightedVector(v, projection, index);
  3. }

代码示例来源：origin: apache/mahout

  1. public Centroid(WeightedVector original) {
  2.  super(original.getVector().like().assign(original), original.getWeight(), original.getIndex());
  3. }

代码示例来源：origin: apache/mahout

  1. public static WeightedVector project(Vector v, Vector projection) {
  2.  return project(v, projection, INVALID_INDEX);
  3. }

代码示例来源：origin: apache/mahout

  1. @Override
  2. public Vector like() {
  3.  return new WeightedVector(getVector().like(), weight, index);
  4. }

代码示例来源：origin: apache/mahout

  1. @Override
  2. public int compare(WeightedVector a, WeightedVector b) {
  3.  if (a == b) {
  4.   return 0;
  5.  }
  6.  double aWeight = a.getWeight();
  7.  double bWeight = b.getWeight();
  8.  int r = Double.compare(aWeight, bWeight);
  9.  if (r != 0 && Math.abs(aWeight - bWeight) >= DOUBLE_EQUALITY_ERROR) {
  10.   return r;
  11.  }
  12.  double diff = a.minus(b).norm(1);
  13.  if (diff < 1.0e-12) {
  14.   return 0;
  15.  }
  16.  for (Vector.Element element : a.all()) {
  17.   r = Double.compare(element.get(), b.get(element.index()));
  18.   if (r != 0) {
  19.    return r;
  20.   }
  21.  }
  22.  return 0;
  23. }

代码示例来源：origin: apache/mahout

  1. @Test
  2. public void testProjection() {
  3.  Vector v1 = new DenseVector(10).assign(Functions.random());
  4.  WeightedVector v2 = new WeightedVector(v1, v1, 31);
  5.  assertEquals(v1.dot(v1), v2.getWeight(), 1.0e-13);
  6.  assertEquals(31, v2.getIndex());
  7.  Matrix y = new DenseMatrix(10, 4).assign(Functions.random());
  8.  Matrix q = new QRDecomposition(y.viewPart(0, 10, 0, 3)).getQ();
  9.  Vector nullSpace = y.viewColumn(3).minus(q.times(q.transpose().times(y.viewColumn(3))));
  10.  WeightedVector v3 = new WeightedVector(q.viewColumn(0).plus(q.viewColumn(1)), nullSpace, 1);
  11.  assertEquals(0, v3.getWeight(), 1.0e-13);
  12.  Vector qx = q.viewColumn(0).plus(q.viewColumn(1)).normalize();
  13.  WeightedVector v4 = new WeightedVector(qx, q.viewColumn(0), 2);
  14.  assertEquals(Math.sqrt(0.5), v4.getWeight(), 1.0e-13);
  15.  WeightedVector v5 = WeightedVector.project(q.viewColumn(0), qx);
  16.  assertEquals(Math.sqrt(0.5), v5.getWeight(), 1.0e-13);
  17. }

代码示例来源：origin: org.apache.mahout/mahout-core

  1. int closestIndex = ((WeightedVector) closestPair.getValue()).getIndex();
  2. double closestDistance = closestPair.getWeight();
  3. closestCentroid.setWeight(closestCentroid.getWeight() + datapoint.getWeight());

代码示例来源：origin: apache/mahout

  1. public static Centroid create(int key, Vector initialValue) {
  2.  if (initialValue instanceof WeightedVector) {
  3.   return new Centroid(key, new DenseVector(initialValue), ((WeightedVector) initialValue).getWeight());
  4.  } else {
  5.   return new Centroid(key, new DenseVector(initialValue), 1);
  6.  }
  7. }

代码示例来源：origin: tdunning/anomaly-detection

  1. for (int i = 0; i < SAMPLES; i++) {
  2.   int offset = i * STEP;
  3.   WeightedVector row = new WeightedVector(new DenseVector(WINDOW), 1, i);
  4.   row.assign(trace.viewPart(offset, WINDOW));
  5.   row.assign(window, Functions.MULT);
  6.   row.assign(Functions.mult(1 / row.norm(2)));
  7.   r.add(row);
  8.   for (int i = 0; i + WINDOW < trace.size(); i += WINDOW / 2) {
  9.     WeightedVector row = new WeightedVector(new DenseVector(WINDOW), 1, i);
  10.     row.assign(trace.viewPart(i, WINDOW));
  11.     row.assign(window, Functions.MULT);
  12.     double scale = row.norm(2);
  13.     row.assign(Functions.mult(1 / scale));
  14.       out.format("%.3f\t%.3f\t%d\n", rx.get(j, 0), rx.get(j, 1), ((WeightedVector) cluster.getValue()).getIndex());

代码示例来源：origin: org.apache.mahout/mahout-mrlegacy

  1. Centroid c_1 = new Centroid(datapoints.get(selected).clone());
  2. c_1.setIndex(0);
  3.  double w = distanceMeasure.distance(c_1, row) * 2 * Math.log(1 + row.getWeight());
  4.  seedSelector.set(i, w);

代码示例来源：origin: apache/mahout

  1. @Test
  2. public void testOrdering() {
  3.  WeightedVector v1 = new WeightedVector(new DenseVector(new double[]{1, 2, 3}), 5.41, 31);
  4.  WeightedVector v2 = new WeightedVector(new DenseVector(new double[]{1, 2, 3}), 5.00, 31);
  5.  WeightedVector v3 = new WeightedVector(new DenseVector(new double[]{1, 3, 3}), 5.00, 31);
  6.  WeightedVector v4 = v1.clone();
  7.  WeightedVectorComparator comparator = new WeightedVectorComparator();
  8.  assertTrue(comparator.compare(v1, v2) > 0);
  9.  assertTrue(comparator.compare(v3, v1) < 0);
  10.  assertTrue(comparator.compare(v3, v2) > 0);
  11.  assertEquals(0, comparator.compare(v4, v1));
  12.  assertEquals(0, comparator.compare(v1, v1));
  13. }

代码示例来源：origin: org.apache.mahout/mahout-core

  1. for (WeightedVector testDatapoint : trainTestSplit.getSecond()) {
  2.  WeightedVector closest = (WeightedVector) centroids.searchFirst(testDatapoint, false).getValue();
  3.  closest.setWeight(closest.getWeight() + testDatapoint.getWeight());

代码示例来源：origin: org.apache.mahout/mahout-mrlegacy

  1. private static OnlineSummarizer evaluateStrategy(Matrix testData, BruteSearch ref,
  2.                          LocalitySensitiveHashSearch cut) {
  3.  OnlineSummarizer t1 = new OnlineSummarizer();
  4.  for (int i = 0; i < 100; i++) {
  5.   final Vector q = testData.viewRow(i);
  6.   List<WeightedThing<Vector>> v1 = cut.search(q, 150);
  7.   BitSet b1 = new BitSet();
  8.   for (WeightedThing<Vector> v : v1) {
  9.    b1.set(((WeightedVector)v.getValue()).getIndex());
  10.   }
  11.   List<WeightedThing<Vector>> v2 = ref.search(q, 100);
  12.   BitSet b2 = new BitSet();
  13.   for (WeightedThing<Vector> v : v2) {
  14.    b2.set(((WeightedVector)v.getValue()).getIndex());
  15.   }
  16.   b1.and(b2);
  17.   t1.add(b1.cardinality());
  18.  }
  19.  return t1;
  20. }

代码示例来源：origin: apache/mahout

  1. @Override
  2. public String toString() {
  3.  return String.format("index=%d, weight=%.2f, v=%s", index, weight, getVector());
  4. }

代码示例来源：origin: org.apache.mahout/mahout-mrlegacy

  1. @Override
  2.  public int hashCode() {
  3.   int result = super.hashCode();
  4.   result = 31 * result + (int) (hash ^ (hash >>> 32));
  5.   return result;
  6.  }
  7. }

代码示例来源：origin: org.apache.mahout/mahout-mr

  1. int closestIndex = ((WeightedVector) closestPair.getValue()).getIndex();
  2. double closestDistance = closestPair.getWeight();
  3. closestCentroid.setWeight(closestCentroid.getWeight() + datapoint.getWeight());

代码示例来源：origin: org.apache.mahout/mahout-mr

  1. /**
  2.   * Computes the total weight of the points in the given Vector iterable.
  3.   * @param data iterable of points
  4.   * @return total weight
  5.   */
  6.  public static double totalWeight(Iterable<? extends Vector> data) {
  7.   double sum = 0;
  8.   for (Vector row : data) {
  9.    Preconditions.checkNotNull(row);
  10.    if (row instanceof WeightedVector) {
  11.     sum += ((WeightedVector)row).getWeight();
  12.    } else {
  13.     sum++;
  14.    }
  15.   }
  16.   return sum;
  17.  }
  18. }

代码示例来源：origin: org.apache.mahout/mahout-math

  1. @Override
  2. public Vector like() {
  3.  return new WeightedVector(getVector().like(), weight, index);
  4. }

代码示例来源：origin: org.apache.mahout/mahout-mr

  1. Centroid c_1 = new Centroid(datapoints.get(selected).clone());
  2. c_1.setIndex(0);
  3.  double w = distanceMeasure.distance(c_1, row) * 2 * Math.log(1 + row.getWeight());
  4.  seedSelector.set(i, w);

代码示例来源：origin: org.apache.mahout/mahout-math

  1. @Override
  2. public int compare(WeightedVector a, WeightedVector b) {
  3.  if (a == b) {
  4.   return 0;
  5.  }
  6.  double aWeight = a.getWeight();
  7.  double bWeight = b.getWeight();
  8.  int r = Double.compare(aWeight, bWeight);
  9.  if (r != 0 && Math.abs(aWeight - bWeight) >= DOUBLE_EQUALITY_ERROR) {
  10.   return r;
  11.  }
  12.  double diff = a.minus(b).norm(1);
  13.  if (diff < 1.0e-12) {
  14.   return 0;
  15.  }
  16.  for (Vector.Element element : a.all()) {
  17.   r = Double.compare(element.get(), b.get(element.index()));
  18.   if (r != 0) {
  19.    return r;
  20.   }
  21.  }
  22.  return 0;
  23. }

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