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

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

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    return result;
  }
 
  @Override
  public LongPrimitiveArrayIterator getItemIDs() {
    return new LongPrimitiveArrayIterator(itemIDs);
  }
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    return this.preferenceForItems;
  }

  @Override
  public LongPrimitiveArrayIterator getUserIDs() {
    return new LongPrimitiveArrayIterator(userIDs);
  }
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    return result;
  }
 
  @Override
  public LongPrimitiveArrayIterator getItemIDs() {
    return new LongPrimitiveArrayIterator(itemIDs);
  }
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    return this.preferenceForItems;
  }
 
  @Override
  public LongPrimitiveArrayIterator getUserIDs() {
    return new LongPrimitiveArrayIterator(userIDs);
  }
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    return itemIDs;
  }
 
  @Override
  public LongPrimitiveArrayIterator getItemIDs() {
    return new LongPrimitiveArrayIterator(itemIDs);
  }
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    return max > MAX_LIMIT ? MAX_LIMIT : (int) max;
  }

  @Override
  protected FastIDSet doGetCandidateItems(long[] preferredItemIDs, DataModel dataModel) throws TasteException {
    LongPrimitiveIterator preferredItemIDsIterator = new LongPrimitiveArrayIterator(preferredItemIDs);
    if (preferredItemIDs.length > maxItems) {
      double samplingRate = (double) maxItems / preferredItemIDs.length;
//      log.info("preferredItemIDs.length {}, samplingRate {}", preferredItemIDs.length, samplingRate);
      preferredItemIDsIterator =
          new SamplingLongPrimitiveIterator(preferredItemIDsIterator, samplingRate);
    }
    FastIDSet possibleItemsIDs = new FastIDSet();
    while (preferredItemIDsIterator.hasNext()) {
      long itemID = preferredItemIDsIterator.nextLong();
      PreferenceArray prefs = dataModel.getPreferencesForItem(itemID);
      int prefsLength = prefs.length();
      if (prefsLength > maxUsersPerItem) {
        Iterator<Preference> sampledPrefs =
            new FixedSizeSamplingIterator<Preference>(maxUsersPerItem, prefs.iterator());
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  public void testTopItems() throws Exception {
    long[] ids = new long[100];
    for (int i = 0; i < 100; i++) {
      ids[i] = i;
    }
    LongPrimitiveIterator possibleItemIds = new LongPrimitiveArrayIterator(ids);
    TopItems.Estimator<Long> estimator = new TopItems.Estimator<Long>() {
      @Override
      public double estimate(Long thing) {
        return thing;
      }
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  public void testTopItemsRandom() throws Exception {
    long[] ids = new long[100];
    for (int i = 0; i < 100; i++) {
      ids[i] = i;
    }
    LongPrimitiveIterator possibleItemIds = new LongPrimitiveArrayIterator(ids);
    final Random random = RandomUtils.getRandom();
    TopItems.Estimator<Long> estimator = new TopItems.Estimator<Long>() {
      @Override
      public double estimate(Long thing) {
        return random.nextDouble();
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  public void testTopUsers() throws Exception {
    long[] ids = new long[100];
    for (int i = 0; i < 100; i++) {
      ids[i] = i;
    }
    LongPrimitiveIterator possibleItemIds = new LongPrimitiveArrayIterator(ids);
    TopItems.Estimator<Long> estimator = new TopItems.Estimator<Long>() {
      @Override
      public double estimate(Long thing) {
        return thing;
      }
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    return data;
  }

  @Override
  public LongPrimitiveArrayIterator getUserIDs() {
    return new LongPrimitiveArrayIterator(userIDs);
  }
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Related Classes of org.apache.mahout.cf.taste.impl.common.LongPrimitiveArrayIterator

  • org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel
  • org.apache.mahout.cf.taste.impl.model.GenericDataModel
  • org.apache.mahout.cf.taste.impl.recommender.SamplingCandidateItemsStrategy
  • org.apache.mahout.cf.taste.impl.recommender.TopItemsTest
  • java.util.NoSuchElementException
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