Examples of RunningAverage

freenet.support.math.RunningAverage
A running average. That is, something that takes reports as numbers and generates a current value. Synchronized class, including clone().
org.apache.mahout.cf.taste.impl.common.RunningAverage

Interface for classes that can keep track of a running average of a series of numbers. One can add to or remove from the series, as well as update a datum in the series. The class does not actually keep track of the series of values, just its running average, so it doesn't even matter if you remove/change a value that wasn't added.
org.jredis.test.util.RunningAverage

Examples of org.apache.mahout.cf.taste.impl.common.RunningAverage

  }


  static class AverageRatingMapper extends Mapper<IntWritable,VectorWritable,IntWritable,VectorWritable> {
    @Override
    protected void map(IntWritable r, VectorWritable v, Context ctx) throws IOException, InterruptedException {
      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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Examples of org.jredis.test.util.RunningAverage

    // we'll need the ClusterSpec to get the nodes
    
    ClusterSpec clusterSpec = provider.getSpec();
    assertNotNull(clusterSpec, "cluster spec must not be null");
    
    RunningAverage avg = new RunningAverage();
    int nodeCnt = clusterSpec.getNodeSpecs().size();
    Number[] data = new Number[nodeCnt];
    int i = 0;
    for(ClusterNodeSpec n : clusterSpec.getNodeSpecs()){
      Long cnt = distribution.get(n);
      avg.onMeasure(cnt);
      data[i++] = cnt;
    }
    assertTrue(avg.getMin() > 0, "No node should have zero keys assigned to it");
    assertTrue(avg.getMax() > 0, "No node should have zero keys assigned to it");
    Log.log("Distributed %d keys in a %d node cluster:\n\t Key/node distribution -- AVG: %d - MIN: %d - MAX: %d\n", keycnt, nodeCnt, avg.get(), avg.getMin(), avg.getMax());
  }

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