@Override
  public void processDocument(Document doc) {
    doc.addFeatureSet(FEATURE_SET, usedForClassification);
    clusters.forEach(
        (i, c) -> {
          DoubleStream stream =
              c.stream()
                  .mapToDouble(
                      (fn) -> doc.getFeature(fn) == null ? 0 : doc.getFeature(fn).doubleValue());
          Double v = 0.0;
          if (isMaxCombiner) {
            v = stream.max().orElse(0);
          } else { // if isSumCombiner
            v = stream.sum();
          }

          if (v > 0) {
            doc.getFeatureSet(FEATURE_SET).add(i.toString(), v);
          }
        });
  }
Exemplo n.º 2
0
  public static void main(String[] args) {

    // Page 45
    // ========

    IntStream.iterate(1, i -> i * 2).limit(10).forEachOrdered(System.out::println);

    IntStream.range(1, 6).forEach(System.out::print); // prints 123456

    // Page 46
    // ========

    List<Integer> intList = Arrays.asList(1, 2, 3);

    OptionalDouble maxDistance =
        intList.stream().map(i -> new Point(i % 3, i / 3)).mapToDouble(p -> p.distance(0, 0)).max();

    DoubleStream ds =
        intList.stream().map(i -> new Point(i % 3, i / 3)).mapToDouble(p -> p.distance(0, 0));

    OptionalDouble maxDistance1 = ds.max();

    // Page 48
    // ========

    Optional<Integer> max =
        Arrays.asList(1, 2, 3, 4, 5).stream().map(i -> i + 1).max(Integer::compareTo);

    // Page 49
    // ========

    OptionalInt max1 = IntStream.rangeClosed(1, 5).map(i -> i + 1).max();

    DoubleStream ds1 = IntStream.rangeClosed(1, 10).asDoubleStream();

    Stream<Integer> is = IntStream.rangeClosed(1, 10).boxed();

    Stream<Integer> integerStream = Stream.of(1, 2);
    IntStream is1 = integerStream.mapToInt(Integer::intValue);
  }