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

Examples of org.apache.mahout.cf.taste.impl.common.LongPrimitiveArrayIterator.nextLong()

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      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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      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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//      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();
      if (prefsLength > maxUsersPerItem) {
        Iterator<Preference> sampledPrefs =
            new FixedSizeSamplingIterator<Preference>(maxUsersPerItem, prefs.iterator());
View Full Code Here
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      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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