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

    try {
      buildAverageDiffsLock.readLock().lock();
      for (Map.Entry<Long,FastByIDMap<RunningAverage>> entry : averageDiffs.entrySet()) {
        boolean matchesItemID1 = itemID == entry.getKey();
        for (Map.Entry<Long,RunningAverage> entry2 : entry.getValue().entrySet()) {
          RunningAverage average = entry2.getValue();
          if (matchesItemID1) {
            if (remove) {
              average.removeDatum(prefDelta);
            } else {
              average.changeDatum(-prefDelta);
            }
          } else if (itemID == entry2.getKey()) {
            if (remove) {
              average.removeDatum(-prefDelta);
            } else {
              average.changeDatum(prefDelta);
            }
          }
        }
      }
      RunningAverage itemAverage = averageItemPref.get(itemID);
      if (itemAverage != null) {
        itemAverage.changeDatum(prefDelta);
      }
    } finally {
      buildAverageDiffsLock.readLock().unlock();
    }
  }

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

    Iterator<Map.Entry<Long,FastByIDMap<RunningAverage>>> it1 = averageDiffs.entrySet().iterator();
    while (it1.hasNext()) {
      FastByIDMap<RunningAverage> map = it1.next().getValue();
      Iterator<Map.Entry<Long,RunningAverage>> it2 = map.entrySet().iterator();
      while (it2.hasNext()) {
        RunningAverage average = it2.next().getValue();
        if (average.getCount() <= 1) {
          it2.remove();
        }
      }
      if (map.isEmpty()) {
        it1.remove();

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

        averageDiffs.put(itemIDA, aMap);
      }
      for (int j = i + 1; j < length; j++) {
        // This is a performance-critical block
        long itemIDB = userPreferences.getItemID(j);
        RunningAverage average = aMap.get(itemIDB);
        if ((average == null) && (averageCount < maxEntries)) {
          average = buildRunningAverage();
          aMap.put(itemIDB, average);
          averageCount++;
        }
        if (average != null) {
          average.addDatum(userPreferences.getValue(j) - prefAValue);
        }
      }
      RunningAverage itemAverage = averageItemPref.get(itemIDA);
      if (itemAverage == null) {
        itemAverage = buildRunningAverage();
        averageItemPref.put(itemIDA, itemAverage);
      }
      itemAverage.addDatum(prefAValue);
    }
    return averageCount;
  }

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

    FastByIDMap<RunningAverage> level1Map = averageDiffs.get(itemID1);
    if (level1Map == null) {
      level1Map = new FastByIDMap<RunningAverage>();
      averageDiffs.put(itemID1, level1Map);
    }
    RunningAverage average = level1Map.get(itemID2);
    if ((average == null) && (averageCount < maxEntries)) {
      average = new FullRunningAverage();
      level1Map.put(itemID2, average);
      averageCount++;
    }
    if (average != null) {
      average.addDatum(diff);
    }
    
    allRecommendableItemIDs.add(itemID1);
    allRecommendableItemIDs.add(itemID2);

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

    Iterator<Map.Entry<Long,FastByIDMap<RunningAverage>>> it1 = averageDiffs.entrySet().iterator();
    while (it1.hasNext()) {
      FastByIDMap<RunningAverage> map = it1.next().getValue();
      Iterator<Map.Entry<Long,RunningAverage>> it2 = map.entrySet().iterator();
      while (it2.hasNext()) {
        RunningAverage average = it2.next().getValue();
        if (average.getCount() <= 1) {
          it2.remove();
        }
      }
      if (map.isEmpty()) {
        it1.remove();

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

      buildAverageDiffsLock.readLock().lock();
      level2Map = averageDiffs.get(itemID1);
    } finally {
      buildAverageDiffsLock.readLock().unlock();
    }
    RunningAverage average = null;
    if (level2Map != null) {
      average = level2Map.get(itemID2);
    }
    if (inverted) {
      if (average == null) {

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

    try {
      buildAverageDiffsLock.readLock().lock();
      for (Map.Entry<Long,FastByIDMap<RunningAverage>> entry : averageDiffs.entrySet()) {
        boolean matchesItemID1 = itemID == entry.getKey();
        for (Map.Entry<Long,RunningAverage> entry2 : entry.getValue().entrySet()) {
          RunningAverage average = entry2.getValue();
          if (matchesItemID1) {
            if (remove) {
              average.removeDatum(prefDelta);
            } else {
              average.changeDatum(-prefDelta);
            }
          } else if (itemID == entry2.getKey()) {
            if (remove) {
              average.removeDatum(-prefDelta);
            } else {
              average.changeDatum(prefDelta);
            }
          }
        }
      }
      // RunningAverage itemAverage = averageItemPref.get(itemID);

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

    info.append(MathHelper.nice(Ak));
    info.append('\n');


    log.info(info.toString());


    RunningAverage avg = new FullRunningAverage();
    Iterator<MatrixSlice> sliceIterator = preferences.iterateAll();
    while (sliceIterator.hasNext()) {
      MatrixSlice slice = sliceIterator.next();
      Iterator<Vector.Element> elementIterator = slice.vector().iterateNonZero();
      while (elementIterator.hasNext()) {
        Vector.Element e = elementIterator.next();
        if (!Double.isNaN(e.get())) {
          double pref = e.get();
          double estimate = u.viewRow(slice.index()).dot(m.viewRow(e.index()));
          double err = pref - estimate;
          avg.addDatum(err * err);
          log.info("Comparing preference of user [{}] towards item [{}], was [{}] estimate is [{}]",
                   new Object[] { slice.index(), e.index(), pref, estimate });
        }
      }
    }
    double rmse = Math.sqrt(avg.getAverage());
    log.info("RMSE: {}", rmse);


    assertTrue(rmse < 0.2);
  }

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

    info.append(MathHelper.nice(Ak));
    info.append('\n');


    log.info(info.toString());


    RunningAverage avg = new FullRunningAverage();
    Iterator<MatrixSlice> sliceIterator = preferences.iterateAll();
    while (sliceIterator.hasNext()) {
      MatrixSlice slice = sliceIterator.next();
      for (Vector.Element e : slice.vector()) {
        if (!Double.isNaN(e.get())) {
          double pref = e.get();
          double estimate = u.viewRow(slice.index()).dot(m.viewRow(e.index()));
          double confidence = 1 + alpha * observations.getQuick(slice.index(), e.index());
          double err = confidence * (pref - estimate) * (pref - estimate);
          avg.addDatum(err);
          log.info("Comparing preference of user [{}] towards item [{}], was [{}] with confidence [{}] " +
                       "estimate is [{}]", new Object[]{slice.index(), e.index(), pref, confidence, estimate});
        }
      }
    }
    double rmse = Math.sqrt(avg.getAverage());
    log.info("RMSE: {}", rmse);


    assertTrue(rmse < 0.4);
  }

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


    return 0;
  }


  protected double computeRmse(Path errors) {
    RunningAverage average = new FullRunningAverage();
    for (Pair<DoubleWritable,NullWritable> entry :
      new SequenceFileDirIterable<DoubleWritable, NullWritable>(errors, PathType.LIST, PathFilters.logsCRCFilter(),
          getConf())) {
      DoubleWritable error = entry.getFirst();
      average.addDatum(error.get() * error.get());
    }


    return Math.sqrt(average.getAverage());
  }

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