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

Package org.apache.mahout.cf.taste.impl.common

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

org.apache.mahout.cf.taste.impl.common.LongPrimitiveIterator
Adds notion of iterating over long primitives in the style of an {@link Iterator} -- asopposed to iterating over {@link Long}. Implementations of this interface however also implement {@link Iterator} and {@link Iterable} over {@link Long} for convenience.

    assertNotNull("pref is null and it shouldn't be", pref);
    assertEquals("pref Size: " + pref.length() + " is not: " + 3, 3, pref.length());
  }


  public void testGetItems() throws Exception {
    LongPrimitiveIterator it = model.getItemIDs();
    assertNotNull(it);
    assertTrue(it.hasNext());
    assertEquals(123, it.nextLong());
    assertTrue(it.hasNext());
    assertEquals(234, it.nextLong());
    assertTrue(it.hasNext());
    assertEquals(456, it.nextLong());
    assertTrue(it.hasNext());
    assertEquals(654, it.nextLong());
    assertTrue(it.hasNext());
    assertEquals(789, it.nextLong());
    assertFalse(it.hasNext());
    try {
      it.next();
      fail("Should throw NoSuchElementException");
    } catch (NoSuchElementException nsee) {
      // good
    }
  }

View Full Code Here

      entry.getValue().sortByUser();
    }
    
    this.userIDs = new long[userData.size()];
    int i = 0;
    LongPrimitiveIterator it = userData.keySetIterator();
    while (it.hasNext()) {
      userIDs[i++] = it.next();
    }
    Arrays.sort(userIDs);
  }

View Full Code Here

    return (FastByIDMap<PreferenceArray>) (FastByIDMap<?>) data;
  }
  
  private static FastByIDMap<PreferenceArray> toDataMap(DataModel dataModel) throws TasteException {
    FastByIDMap<PreferenceArray> data = new FastByIDMap<PreferenceArray>(dataModel.getNumUsers());
    LongPrimitiveIterator it = dataModel.getUserIDs();
    while (it.hasNext()) {
      long userID = it.nextLong();
      data.put(userID, dataModel.getPreferencesFromUser(userID));
    }
    return data;
  }

View Full Code Here

        
      } else {
        
        List<FastIDSet> clusters = new LinkedList<FastIDSet>();
        // Begin with a cluster for each user:
        LongPrimitiveIterator it = model.getUserIDs();
        while (it.hasNext()) {
          FastIDSet newCluster = new FastIDSet();
          newCluster.add(it.nextLong());
          clusters.add(newCluster);
        }
        
        boolean done = false;
        while (!done) {

View Full Code Here

  
  private FastByIDMap<List<RecommendedItem>> computeTopRecsPerUserID(Iterable<FastIDSet> clusters) throws TasteException {
    FastByIDMap<List<RecommendedItem>> recsPerUser = new FastByIDMap<List<RecommendedItem>>();
    for (FastIDSet cluster : clusters) {
      List<RecommendedItem> recs = computeTopRecsForCluster(cluster);
      LongPrimitiveIterator it = cluster.iterator();
      while (it.hasNext()) {
        recsPerUser.put(it.next(), recs);
      }
    }
    return recsPerUser;
  }

View Full Code Here

  
  private List<RecommendedItem> computeTopRecsForCluster(FastIDSet cluster) throws TasteException {
    
    DataModel dataModel = getDataModel();
    FastIDSet possibleItemIDs = new FastIDSet();
    LongPrimitiveIterator it = cluster.iterator();
    while (it.hasNext()) {
      possibleItemIDs.addAll(dataModel.getItemIDsFromUser(it.next()));
    }
    
    TopItems.Estimator<Long> estimator = new Estimator(cluster);
    
    List<RecommendedItem> topItems = TopItems.getTopItems(NUM_CLUSTER_RECS,

View Full Code Here

  }
  
  private static FastByIDMap<FastIDSet> computeClustersPerUserID(Collection<FastIDSet> clusters) {
    FastByIDMap<FastIDSet> clustersPerUser = new FastByIDMap<FastIDSet>(clusters.size());
    for (FastIDSet cluster : clusters) {
      LongPrimitiveIterator it = cluster.iterator();
      while (it.hasNext()) {
        clustersPerUser.put(it.next(), cluster);
      }
    }
    return clustersPerUser;
  }

View Full Code Here

    
    @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

    log.info("Building average diffs...");
    try {
      buildAverageDiffsLock.writeLock().lock();
      averageDiffs.clear();
      long averageCount = 0L;
      LongPrimitiveIterator it = dataModel.getUserIDs();
      while (it.hasNext()) {
        averageCount = processOneUser(averageCount, it.nextLong());
      }
      
      pruneInconsequentialDiffs();
      updateAllRecommendableItems();

View Full Code Here

  
  private void updateAllRecommendableItems() throws TasteException {
    FastIDSet ids = new FastIDSet(dataModel.getNumItems());
    for (Map.Entry<Long,FastByIDMap<RunningAverage>> entry : averageDiffs.entrySet()) {
      ids.add(entry.getKey());
      LongPrimitiveIterator it = entry.getValue().keySetIterator();
      while (it.hasNext()) {
        ids.add(it.next());
      }
    }
    allRecommendableItemIDs.clear();
    allRecommendableItemIDs.addAll(ids);
    allRecommendableItemIDs.rehash();

View Full Code Here

0 1 2 3 4 5 6 7 8 9

TOP

Related Classes of org.apache.mahout.cf.taste.impl.common.LongPrimitiveIterator

mia.recommender.ch02.ItemBaseRecommender

mia.recommender.ch02.UserBaseRecommender

net.myrrix.client.CLI

net.myrrix.client.translating.TranslatingClientRecommender

net.myrrix.common.collection.FastIDSetTest

net.myrrix.common.math.MatrixUtils

net.myrrix.common.random.RandomUtils

net.myrrix.online.factorizer.als.AlternatingLeastSquares

net.myrrix.online.generation.GenerationLoader

net.myrrix.online.generation.GenerationSerializer

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.