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

      prefDelta = value;
    }
    super.setPreference(userID, itemID, value);
    try {
      buildAveragesLock.writeLock().lock();
      RunningAverage average = itemAverages.get(itemID);
      if (average == null) {
        RunningAverage newAverage = new FullRunningAverage();
        newAverage.addDatum(prefDelta);
        itemAverages.put(itemID, newAverage);
      } else {
        average.changeDatum(prefDelta);
      }
    } finally {

View Full Code Here

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

    Float oldPref = dataModel.getPreferenceValue(userID, itemID);
    super.removePreference(userID, itemID);
    if (oldPref != null) {
      try {
        buildAveragesLock.writeLock().lock();
        RunningAverage average = itemAverages.get(itemID);
        if (average == null) {
          throw new IllegalStateException("No preferences exist for item ID: " + itemID);
        } else {
          average.removeDatum(oldPref);
        }
      } finally {
        buildAveragesLock.writeLock().unlock();
      }
    }

View Full Code Here

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

      this.rescorer = rescorer;
    }
    
    @Override
    public double estimate(Long itemID) throws TasteException {
      RunningAverage average = new FullRunningAverage();
      for (long toItemID : toItemIDs) {
        LongPair pair = new LongPair(toItemID, itemID);
        if ((rescorer != null) && rescorer.isFiltered(pair)) {
          continue;
        }
        double estimate = similarity.itemSimilarity(toItemID, itemID);
        if (rescorer != null) {
          estimate = rescorer.rescore(pair, estimate);
        }
        average.addDatum(estimate);
      }
      return average.getAverage();
    }

View Full Code Here

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);

View Full Code Here

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();

View Full Code Here

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) {

View Full Code Here

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);

View Full Code Here

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

      }
    }
  }
  
  private double getAveragePreference() throws TasteException {
    RunningAverage average = new FullRunningAverage();
    DataModel dataModel = getDataModel();
    LongPrimitiveIterator it = dataModel.getUserIDs();
    while (it.hasNext()) {
      for (Preference pref : dataModel.getPreferencesFromUser(it.nextLong())) {
        average.addDatum(pref.getValue());
      }
    }
    return average.getAverage();
  }

View Full Code Here

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

    }
    
    @Override
    public double estimate(Long itemID) throws TasteException {
      DataModel dataModel = getDataModel();
      RunningAverage average = new FullRunningAverage();
      LongPrimitiveIterator it = cluster.iterator();
      while (it.hasNext()) {
        Float pref = dataModel.getPreferenceValue(it.next(), itemID);
        if (pref != null) {
          average.addDatum(pref);
        }
      }
      return average.getAverage();
    }

View Full Code Here

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

  }
  
  private float doEstimatePreference(long itemID) {
    buildAveragesLock.readLock().lock();
    try {
      RunningAverage average = itemAverages.get(itemID);
      return average == null ? Float.NaN : (float) average.getAverage();
    } finally {
      buildAveragesLock.readLock().unlock();
    }
  }

View Full Code Here

0 1 2 3 4 5

TOP

All source code are property of their respective owners. Java is a trademark of Sun Microsystems, Inc and owned by ORACLE Inc. Contact coftware#gmail.com.