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

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

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    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);
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  }

  private void addSomeOf(FastIDSet possibleItemIDs, FastIDSet itemIDs) {
    if (itemIDs.size() > maxItemsPerUser) {
      LongPrimitiveIterator it =
          new SamplingLongPrimitiveIterator(itemIDs.iterator(), (double) maxItemsPerUser / itemIDs.size());
      while (it.hasNext()) {
        possibleItemIDs.add(it.nextLong());
      }
    } else {
      possibleItemIDs.addAll(itemIDs);
    }
  }
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    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);
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  }

  private void addSomeOf(FastIDSet possibleItemIDs, FastIDSet itemIDs) {
    if (itemIDs.size() > maxItemsPerUser) {
      LongPrimitiveIterator it =
          new SamplingLongPrimitiveIterator(itemIDs.iterator(), (double) maxItemsPerUser / itemIDs.size());
      while (it.hasNext()) {
        possibleItemIDs.add(it.nextLong());
      }
    } else {
      possibleItemIDs.addAll(itemIDs);
    }
  }
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    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);
    }
    while (preferredItemIDsIterator.hasNext()) {
      long itemID = preferredItemIDsIterator.nextLong();
      PreferenceArray prefs = dataModel.getPreferencesForItem(itemID);
      int prefsLength = prefs.length();
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  }
 
  private void addSomeOf(FastIDSet possibleItemIDs, FastIDSet itemIDs) {
    if (itemIDs.size() > maxItemsPerUser) {
      LongPrimitiveIterator it =
          new SamplingLongPrimitiveIterator(itemIDs.iterator(), (double) maxItemsPerUser / itemIDs.size());
      while (it.hasNext()) {
        possibleItemIDs.add(it.nextLong());
      }
    } else {
      possibleItemIDs.addAll(itemIDs);
    }
  }
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    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);
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  }

  private void addSomeOf(FastIDSet possibleItemIDs, FastIDSet itemIDs) {
    if (itemIDs.size() > maxItemsPerUser) {
      LongPrimitiveIterator it =
          new SamplingLongPrimitiveIterator(itemIDs.iterator(), (double) maxItemsPerUser / itemIDs.size());
      while (it.hasNext()) {
        possibleItemIDs.add(it.nextLong());
      }
    } else {
      possibleItemIDs.addAll(itemIDs);
    }
  }
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Related Classes of org.apache.mahout.cf.taste.impl.common.SamplingLongPrimitiveIterator

  • org.apache.commons.math3.distribution.PascalDistribution
  • org.apache.mahout.cf.taste.impl.recommender.SamplingCandidateItemsStrategy
  • java.util.NoSuchElementException
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