Examples of de.jungblut.partition.BlockPartitioner

de.jungblut.partition.BlockPartitioner
This partitioner partitions connected ranges from 0 to numberOfRows into sizeOfCluster buckets. @author thomas.jungblut

      }
      particlePersonalBestCost[i] = f.evaluateCost(particlePositions[i])
          .getCost();
    }


    Set<Range> boundaries = new BlockPartitioner().partition(numThreads,
        numParticles).getBoundaries();


    // everything else will be seeded to the start position
    DoubleVector[] particlePersonalBestPositions = new DoubleVector[numParticles];
    Arrays.fill(particlePersonalBestPositions, pInput);

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    List<TrainingSplit> splits = new ArrayList<>(classifier.length);
    if (shuffle) {
      ArrayUtils.multiShuffle(features, outcome);
    }


    List<Range> partitions = new ArrayList<>(new BlockPartitioner().partition(
        classifier.length, features.length).getBoundaries());


    final int[] splitRanges = new int[classifier.length + 1];
    for (int i = 1; i < classifier.length; i++) {
      splitRanges[i] = partitions.get(i).getStart();

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    EvaluationResult averagedModel = new EvaluationResult();
    averagedModel.numLabels = numLabels;
    final int m = features.length;
    // compute the split ranges by blocks, so we have range from 0 to the next
    // partition index end that will be our testset, and so on.
    List<Range> partition = new ArrayList<>(new BlockPartitioner().partition(
        numFolds, m).getBoundaries());
    int[] splitRanges = new int[numFolds];
    for (int i = 1; i < numFolds; i++) {
      splitRanges[i] = partition.get(i).getEnd();
    }

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Related Classes of de.jungblut.partition.BlockPartitioner

de.jungblut.classification.eval.Evaluator

de.jungblut.classification.meta.Voter

de.jungblut.math.minimize.ParticleSwarmOptimization

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