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

Examples of org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray$PreferenceView

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    EasyMock.expect(dataModel.getPreferencesForItem(1L)).andReturn(preferencesForItem1);
    EasyMock.expect(dataModel.getItemIDsFromUser(123L)).andReturn(itemIDsFromUser123);
    EasyMock.expect(dataModel.getItemIDsFromUser(456L)).andReturn(itemIDsFromUser456);

    PreferenceArray prefArrayOfUser123 =
        new GenericUserPreferenceArray(Arrays.asList(new GenericPreference(123L, 1L, 1.0f)));

    CandidateItemsStrategy strategy = new PreferredItemsNeighborhoodCandidateItemsStrategy();

    EasyMock.replay(dataModel);
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  @Before
  public void setUp() throws Exception {
    super.setUp();
    FastByIDMap<PreferenceArray> userData = new FastByIDMap<PreferenceArray>();

    userData.put(1L, new GenericUserPreferenceArray(Arrays.asList(new GenericPreference(1L, 1L, 5.0f),
                                                                  new GenericPreference(1L, 2L, 5.0f),
                                                                  new GenericPreference(1L, 3L, 2.0f))));

    userData.put(2L, new GenericUserPreferenceArray(Arrays.asList(new GenericPreference(2L, 1L, 2.0f),
                                                                  new GenericPreference(2L, 3L, 3.0f),
                                                                  new GenericPreference(2L, 4L, 5.0f))));

    userData.put(3L, new GenericUserPreferenceArray(Arrays.asList(new GenericPreference(3L, 2L, 5.0f),
                                                                  new GenericPreference(3L, 4L, 3.0f))));

    userData.put(4L, new GenericUserPreferenceArray(Arrays.asList(new GenericPreference(4L, 1L, 3.0f),
                                                                  new GenericPreference(4L, 4L, 5.0f))));

    dataModel = new GenericDataModel(userData);
    factorizer = new ALSWRFactorizer(dataModel, 3, 0.065, 10);
  }
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    ItemSimilarity itemSimilarity = EasyMock.createMock(ItemSimilarity.class);
    CandidateItemsStrategy candidateItemsStrategy = EasyMock.createMock(CandidateItemsStrategy.class);
    MostSimilarItemsCandidateItemsStrategy mostSimilarItemsCandidateItemsStrategy =
        EasyMock.createMock(MostSimilarItemsCandidateItemsStrategy.class);

    PreferenceArray preferencesFromUser = new GenericUserPreferenceArray(
        Arrays.asList(new GenericPreference(1L, 1L, 5.0f), new GenericPreference(1L, 2L, 4.0f)));

    EasyMock.expect(dataModel.getMinPreference()).andReturn(Float.NaN);
    EasyMock.expect(dataModel.getMaxPreference()).andReturn(Float.NaN);

    EasyMock.expect(dataModel.getPreferencesFromUser(1L)).andReturn(preferencesFromUser);
    EasyMock.expect(candidateItemsStrategy.getCandidateItems(1L, preferencesFromUser, dataModel))
        .andReturn(new FastIDSet(new long[] { 3L, 4L }));

    EasyMock.expect(itemSimilarity.itemSimilarities(3L, preferencesFromUser.getIDs()))
        .andReturn(new double[] { 0.5, 0.3 });
    EasyMock.expect(itemSimilarity.itemSimilarities(4L, preferencesFromUser.getIDs()))
        .andReturn(new double[] { 0.4, 0.1 });

    EasyMock.replay(dataModel, itemSimilarity, candidateItemsStrategy, mostSimilarItemsCandidateItemsStrategy);

    Recommender recommender = new GenericItemBasedRecommender(dataModel, itemSimilarity,
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    long userID = Long.parseLong(tokens[0]);
    int ratingsLeftToRead = Integer.parseInt(tokens[1]);
    int ratingsRead = 0;

    PreferenceArray currentUserPrefs = new GenericUserPreferenceArray(ratingsLeftToRead);
    long[] timestamps = new long[ratingsLeftToRead];

    while (ratingsLeftToRead > 0) {

      line = lineIterator.next();

      // Then a data line. May be 1-4 tokens depending on whether preference info is included (it's not in test data)
      // or whether date info is included (not inluded in track 2). Item ID is always first, and date is the last
      // two fields if it exists.
      tokens = TAB_PATTERN.split(line);
      boolean hasPref = tokens.length == 2 || tokens.length == 4;
      boolean hasDate = tokens.length > 2;

      long itemID = Long.parseLong(tokens[0]);

      currentUserPrefs.setUserID(0, userID);
      currentUserPrefs.setItemID(ratingsRead, itemID);
      if (hasPref) {
        float preference = Float.parseFloat(tokens[1]);
        currentUserPrefs.setValue(ratingsRead, preference);
      }

      if (hasDate) {
        long timestamp;
        if (hasPref) {
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          }
          if (exists) {
            if (length == 1) {
              data.remove(userID);
            } else {
              PreferenceArray newPrefs = new GenericUserPreferenceArray(length - 1);
              for (int i = 0, j = 0; i < length; i++, j++) {
                if (prefs.getItemID(i) == itemID) {
                  j--;
                } else {
                  newPrefs.set(j, prefs.get(i));
                }
              }
              ((FastByIDMap<PreferenceArray>) data).put(userID, newPrefs);
            }
          }
        }

        removeTimestamp(userID, itemID, timestamps);

      } else {

        float preferenceValue = Float.parseFloat(preferenceValueString);

        boolean exists = false;
        if (prefs != null) {
          for (int i = 0; i < prefs.length(); i++) {
            if (prefs.getItemID(i) == itemID) {
              exists = true;
              prefs.setValue(i, preferenceValue);
              break;
            }
          }
        }

        if (!exists) {
          if (prefs == null) {
            prefs = new GenericUserPreferenceArray(1);
          } else {
            PreferenceArray newPrefs = new GenericUserPreferenceArray(prefs.length() + 1);
            for (int i = 0, j = 1; i < prefs.length(); i++, j++) {
              newPrefs.set(j, prefs.get(i));
            }
            prefs = newPrefs;
          }
          prefs.setUserID(0, userID);
          prefs.setItemID(0, itemID);
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        }
        oneUserTestPrefs.add(newPref);
      }
    }
    if (oneUserTrainingPrefs != null) {
      trainingPrefs.put(userID, new GenericUserPreferenceArray(oneUserTrainingPrefs));
      if (oneUserTestPrefs != null) {
        testPrefs.put(userID, new GenericUserPreferenceArray(oneUserTestPrefs));
      }
    }
  }
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      List<HColumn<Long,Float>> itemIDColumns = result.getColumns();
      if (itemIDColumns.isEmpty()) {
        throw new NoSuchUserException(userID);
      }
      int size = itemIDColumns.size();
      PreferenceArray prefs = new GenericUserPreferenceArray(size);
      prefs.setUserID(0, userID);
      for (int i = 0; i < size; i++) {
        HColumn<Long,Float> itemIDColumn = itemIDColumns.get(i);
        prefs.setItemID(i, itemIDColumn.getName());
        prefs.setValue(i, itemIDColumn.getValue());
      }
      return prefs;
    }
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          }
        }
        if (exists) {
          rawData.remove(userID);
          if (length > 1) {
            PreferenceArray newPrefs = new GenericUserPreferenceArray(length - 1);
            for (int i = 0, j = 0; i < length; i++, j++) {
              if (prefs.getItemID(i) == itemID) {
                j--;
              } else {
                newPrefs.set(j, prefs.get(i));
              }
            }
            rawData.put(userID, newPrefs);
          }
          log.info("Removing userID: {} itemID: {}", userID, itemID);
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          }
        }
      }
      if (!exists) {
        if (prefs == null) {
          prefs = new GenericUserPreferenceArray(1);
        } else {
          PreferenceArray newPrefs = new GenericUserPreferenceArray(prefs.length() + 1);
          for (int i = 0, j = 1; i < prefs.length(); i++, j++) {
            newPrefs.set(j, prefs.get(i));
          }
          prefs = newPrefs;
        }
        prefs.setUserID(0, userID);
        prefs.setItemID(0, itemID);
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    if (result.isEmpty()) {
      throw new NoSuchUserException(userID);
    }

    SortedMap<byte[], byte[]> families = result.getFamilyMap(ITEMS_CF);
    PreferenceArray prefs = new GenericUserPreferenceArray(families.size());
    prefs.setUserID(0, userID);
    int i = 0;
    for (Map.Entry<byte[], byte[]> entry : families.entrySet()) {
      prefs.setItemID(i, Bytes.toLong(entry.getKey()));
      prefs.setValue(i, Bytes.toFloat(entry.getValue()));
      i++;
    }
    return prefs;
  }
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