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

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

142
143
144
145
146
147
148
149
150
151
152
 
  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
295
296
297
298
299
300
301
302
303
304
305
        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
239
240
241
242
243
244
245
246
247
248
249
      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
132
133
134
135
136
137
138
139
140
141
142
    try {
      buildAveragesLock.writeLock().lock();
      DataModel dataModel = getDataModel();
      LongPrimitiveIterator it = dataModel.getUserIDs();
      while (it.hasNext()) {
        long userID = it.nextLong();
        PreferenceArray prefs = dataModel.getPreferencesFromUser(userID);
        int size = prefs.length();
        for (int i = 0; i < size; i++) {
          long itemID = prefs.getItemID(i);
          float value = prefs.getValue(i);
View Full Code Here
282
283
284
285
286
287
288
289
290
291
292
        List<FastIDSet> newClusters = new ArrayList<FastIDSet>(numUsers);
        // Begin with a cluster for each user:
        LongPrimitiveIterator it = model.getUserIDs();
        while (it.hasNext()) {
          FastIDSet newCluster = new FastIDSet();
          newCluster.add(it.nextLong());
          newClusters.add(newCluster);
        }
        if (numUsers > 1) {
          findClusters(newClusters);
        }
View Full Code Here
119
120
121
122
123
124
125
126
127
128
129
    try {
      buildAveragesLock.writeLock().lock();
      DataModel dataModel = getDataModel();
      LongPrimitiveIterator it = dataModel.getUserIDs();
      while (it.hasNext()) {
        PreferenceArray prefs = dataModel.getPreferencesFromUser(it.nextLong());
        int size = prefs.length();
        for (int i = 0; i < size; i++) {
          long itemID = prefs.getItemID(i);
          RunningAverage average = itemAverages.get(itemID);
          if (average == null) {
View Full Code Here
80
81
82
83
84
85
86
87
88
89
90
    userMap = new FastByIDMap<Integer>(numUsers);
   
    int idx = 0;
    LongPrimitiveIterator userIterator = dataModel.getUserIDs();
    while (userIterator.hasNext()) {
      userMap.put(userIterator.nextLong(), idx++);
    }
   
    int numItems = dataModel.getNumItems();
    itemMap = new FastByIDMap<Integer>(numItems);
   
View Full Code Here
89
90
91
92
93
94
95
96
97
98
99
    itemMap = new FastByIDMap<Integer>(numItems);
   
    idx = 0;
    LongPrimitiveIterator itemIterator = dataModel.getItemIDs();
    while (itemIterator.hasNext()) {
      itemMap.put(itemIterator.nextLong(), idx++);
    }
   
    double average = getAveragePreference();
    double defaultValue = Math.sqrt((average - 1.0) / numFeatures);
   
View Full Code Here
117
118
119
120
121
122
123
124
125
126
127
  private void recachePreferences() throws TasteException {
    cachedPreferences.clear();
    DataModel dataModel = getDataModel();
    LongPrimitiveIterator it = dataModel.getUserIDs();
    while (it.hasNext()) {
      for (Preference pref : dataModel.getPreferencesFromUser(it.nextLong())) {
        cachedPreferences.add(pref);
      }
    }
  }
 
View Full Code Here
128
129
130
131
132
133
134
135
136
137
138
  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
TOP
Copyright © 2018 www.massapi.com. All rights reserved.
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.