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

Examples of org.apache.mahout.cf.taste.impl.model.GenericPreference

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        while ((line = reader.readLine()) != null) {
          String[] tokens = TasteHadoopUtils.splitPrefTokens(line);
          long userID = Long.parseLong(tokens[0]);
          long itemID = Long.parseLong(tokens[1]);
          float value = Float.parseFloat(tokens[2]);
          preferences.add(new GenericPreference(userID, itemID, value));
        }
      } finally {
        IOUtils.quietClose(in);
      }
    }
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    FastIDSet itemIDsFromUser456 = new FastIDSet();
    itemIDsFromUser456.add(1L);
    itemIDsFromUser456.add(2L);

    List<Preference> prefs = new ArrayList<Preference>();
    prefs.add(new GenericPreference(123L, 1L, 1.0f));
    prefs.add(new GenericPreference(456L, 1L, 1.0f));
    PreferenceArray preferencesForItem1 = new GenericItemPreferenceArray(prefs);

    DataModel dataModel = EasyMock.createMock(DataModel.class);
    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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    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);
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      while (userIDsIterator.hasNext()) {
        long userID = userIDsIterator.nextLong();
        userIDs.add(userID);
        for (Preference preference : dataModel.getPreferencesFromUser(userID)) {
          itemIDs.add(preference.getItemID());
          preferences.add(new GenericPreference(userID, preference.getItemID(), preference.getValue()));
        }
      }
    } catch (Exception e) {
      throw new IllegalStateException("Unable to create factorizable preferences!", e);
    }
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        Collection<Preference> userPrefs = userIDPrefMap.get(userID);
        if (userPrefs == null) {
          userPrefs = new ArrayList<Preference>(2);
          userIDPrefMap.put(userID, userPrefs);
        }
        userPrefs.add(new GenericPreference(userID, movieID, rating));
      }
    }
   
    return GenericDataModel.toDataMap(userIDPrefMap, true);
  }
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    Collection<Preference> prefs = new ArrayList<Preference>(count);
    for (int itemID = 1; itemID < jokePrefs.length; itemID++) { // yes skip first one, just a count
      String jokePref = jokePrefs[itemID];
      if (!"99".equals(jokePref)) {
        float jokePrefValue = Float.parseFloat(jokePref);
        prefs.add(new GenericPreference(userBeingRead, itemID, jokePrefValue));
      }
    }
    data.put(userBeingRead, prefs);
    userBeingRead++;
  }
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      for (String line : new FileLineIterable(movieFile, true)) {
        int firstComma = line.indexOf(',');
        Integer userID = Integer.valueOf(line.substring(0, firstComma));
        int secondComma = line.indexOf(',', firstComma + 1);
        float rating = Float.parseFloat(line.substring(firstComma + 1, secondComma));
        prefs.add(new GenericPreference(userID, itemID, rating));
      }
    } catch (IOException ioe) {
      throw new TasteException(ioe);
    }
    return new GenericItemPreferenceArray(prefs);
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        if (!exists) {
          if (prefs == null) {
            prefs = Lists.newArrayListWithCapacity(2);
            ((FastByIDMap<Collection<Preference>>) data).put(userID, prefs);
          }
          prefs.add(new GenericPreference(userID, itemID, preferenceValue));
        }

        addTimestamp(userID, itemID, timestampString, timestamps);

      }
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    List<Preference> oneUserTrainingPrefs = null;
    List<Preference> oneUserTestPrefs = null;
    PreferenceArray prefs = dataModel.getPreferencesFromUser(userID);
    int size = prefs.length();
    for (int i = 0; i < size; i++) {
      Preference newPref = new GenericPreference(userID, prefs.getItemID(i), prefs.getValue(i));
      if (random.nextDouble() < trainingPercentage) {
        if (oneUserTrainingPrefs == null) {
          oneUserTrainingPrefs = Lists.newArrayListWithCapacity(3);
        }
        oneUserTrainingPrefs.add(newPref);
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