public override void SetUp()
{
base.SetUp();
FastByIDMap <IPreferenceArray> userData = new FastByIDMap <IPreferenceArray>();
userData.Put(1L, new GenericUserPreferenceArray(new List <IPreference>()
{
new GenericPreference(1L, 1L, 5.0f),
new GenericPreference(1L, 2L, 5.0f),
new GenericPreference(1L, 3L, 2.0f)
}));
userData.Put(2L, new GenericUserPreferenceArray(new List <IPreference>()
{
new GenericPreference(2L, 1L, 2.0f),
new GenericPreference(2L, 3L, 3.0f),
new GenericPreference(2L, 4L, 5.0f)
}));
userData.Put(3L, new GenericUserPreferenceArray(new List <IPreference>()
{
new GenericPreference(3L, 2L, 5.0f),
new GenericPreference(3L, 4L, 3.0f)
}));
userData.Put(4L, new GenericUserPreferenceArray(new List <IPreference>()
{
new GenericPreference(4L, 1L, 3.0f),
new GenericPreference(4L, 4L, 5.0f)
}));
dataModel = new GenericDataModel(userData);
factorizer = new ALSWRFactorizer(dataModel, 3, 0.065, 10);
}
public void testStrategy()
{
List <IPreference> prefsOfUser123 = new List <IPreference>();
prefsOfUser123.Add(new GenericPreference(123L, 1L, 1.0f));
List <IPreference> prefsOfUser456 = new List <IPreference>();
prefsOfUser456.Add(new GenericPreference(456L, 1L, 1.0f));
prefsOfUser456.Add(new GenericPreference(456L, 2L, 1.0f));
List <IPreference> prefsOfUser789 = new List <IPreference>();
prefsOfUser789.Add(new GenericPreference(789L, 1L, 0.5f));
prefsOfUser789.Add(new GenericPreference(789L, 3L, 1.0f));
IPreferenceArray prefArrayOfUser123 = new GenericUserPreferenceArray(prefsOfUser123);
FastByIDMap <IPreferenceArray> userData = new FastByIDMap <IPreferenceArray>();
userData.Put(123L, prefArrayOfUser123);
userData.Put(456L, new GenericUserPreferenceArray(prefsOfUser456));
userData.Put(789L, new GenericUserPreferenceArray(prefsOfUser789));
IDataModel dataModel = new GenericDataModel(userData);
ICandidateItemsStrategy strategy =
new SamplingCandidateItemsStrategy(1, 1, 1, dataModel.GetNumUsers(), dataModel.GetNumItems());
FastIDSet candidateItems = strategy.GetCandidateItems(123L, prefArrayOfUser123, dataModel);
Assert.True(candidateItems.Count() <= 1);
Assert.False(candidateItems.Contains(1L));
}
public void ProcessOtherUser(long userID,
FastIDSet relevantItemIDs,
FastByIDMap <IPreferenceArray> trainingUsers,
long otherUserID,
IDataModel dataModel)
{
IPreferenceArray prefs2Array = dataModel.GetPreferencesFromUser(otherUserID);
// If we're dealing with the very user that we're evaluating for precision/recall,
if (userID == otherUserID)
{
// then must remove all the test IDs, the "relevant" item IDs
List <IPreference> prefs2 = new List <IPreference>(prefs2Array.Length());
foreach (IPreference pref in prefs2Array)
{
if (!relevantItemIDs.Contains(pref.GetItemID()))
{
prefs2.Add(pref);
}
}
if (prefs2.Count > 0)
{
trainingUsers.Put(otherUserID, new GenericUserPreferenceArray(prefs2));
}
}
else
{
// otherwise just add all those other user's prefs
trainingUsers.Put(otherUserID, prefs2Array);
}
}
public void persistAndLoad()
{
FastByIDMap <int?> userIDMapping = new FastByIDMap <int?>();
FastByIDMap <int?> itemIDMapping = new FastByIDMap <int?>();
userIDMapping.Put(123, 0);
userIDMapping.Put(456, 1);
itemIDMapping.Put(12, 0);
itemIDMapping.Put(34, 1);
double[][] userFeatures = new double[][] { new double[] { 0.1, 0.2, 0.3 }, new double[] { 0.4, 0.5, 0.6 } };
double[][] itemFeatures = new double[][] { new double[] { 0.7, 0.8, 0.9 }, new double[] { 1.0, 1.1, 1.2 } };
Factorization original = new Factorization(userIDMapping, itemIDMapping, userFeatures, itemFeatures);
var storage = Path.Combine(Path.GetTempPath(), "storage.bin");
try {
IPersistenceStrategy persistenceStrategy = new FilePersistenceStrategy(storage);
Assert.IsNull(persistenceStrategy.Load());
persistenceStrategy.MaybePersist(original);
Factorization clone = persistenceStrategy.Load();
Assert.True(original.Equals(clone));
} finally {
if (File.Exists(storage))
{
try { File.Delete(storage); } catch { }
}
}
}
public void setUpToyData()
{
this.rank = 3;
this.lambda = 0.01;
this.numIterations = 1000;
FastByIDMap <IPreferenceArray> userData = new FastByIDMap <IPreferenceArray>();
userData.Put(1L, new GenericUserPreferenceArray(new List <IPreference>()
{
new GenericPreference(1L, 1L, 5.0f),
new GenericPreference(1L, 2L, 5.0f),
new GenericPreference(1L, 3L, 2.0f)
}));
userData.Put(2L, new GenericUserPreferenceArray(new List <IPreference>()
{
new GenericPreference(2L, 1L, 2.0f),
new GenericPreference(2L, 3L, 3.0f),
new GenericPreference(2L, 4L, 5.0f)
}));
userData.Put(3L, new GenericUserPreferenceArray(new List <IPreference>()
{
new GenericPreference(3L, 2L, 5.0f),
new GenericPreference(3L, 4L, 3.0f)
}));
userData.Put(4L, new GenericUserPreferenceArray(new List <IPreference>()
{
new GenericPreference(4L, 1L, 3.0f),
new GenericPreference(4L, 4L, 5.0f)
}));
dataModel = new GenericDataModel(userData);
}
public void testStrategy()
{
List<IPreference> prefsOfUser123 = new List<IPreference>();
prefsOfUser123.Add(new GenericPreference(123L, 1L, 1.0f));
List<IPreference> prefsOfUser456 = new List<IPreference>();
prefsOfUser456.Add(new GenericPreference(456L, 1L, 1.0f));
prefsOfUser456.Add(new GenericPreference(456L, 2L, 1.0f));
List<IPreference> prefsOfUser789 = new List<IPreference>();
prefsOfUser789.Add(new GenericPreference(789L, 1L, 0.5f));
prefsOfUser789.Add(new GenericPreference(789L, 3L, 1.0f));
IPreferenceArray prefArrayOfUser123 = new GenericUserPreferenceArray(prefsOfUser123);
FastByIDMap<IPreferenceArray> userData = new FastByIDMap<IPreferenceArray>();
userData.Put(123L, prefArrayOfUser123);
userData.Put(456L, new GenericUserPreferenceArray(prefsOfUser456));
userData.Put(789L, new GenericUserPreferenceArray(prefsOfUser789));
IDataModel dataModel = new GenericDataModel(userData);
ICandidateItemsStrategy strategy =
new SamplingCandidateItemsStrategy(1, 1, 1, dataModel.GetNumUsers(), dataModel.GetNumItems());
FastIDSet candidateItems = strategy.GetCandidateItems(123L, prefArrayOfUser123, dataModel);
Assert.True(candidateItems.Count() <= 1);
Assert.False(candidateItems.Contains(1L));
}
public void persistAndLoad()
{
FastByIDMap<int?> userIDMapping = new FastByIDMap<int?>();
FastByIDMap<int?> itemIDMapping = new FastByIDMap<int?>();
userIDMapping.Put(123, 0);
userIDMapping.Put(456, 1);
itemIDMapping.Put(12, 0);
itemIDMapping.Put(34, 1);
double[][] userFeatures = new double[][] { new double[] { 0.1, 0.2, 0.3 }, new double[] { 0.4, 0.5, 0.6 } };
double[][] itemFeatures = new double[][] { new double[] { 0.7, 0.8, 0.9 }, new double[] { 1.0, 1.1, 1.2 } };
Factorization original = new Factorization(userIDMapping, itemIDMapping, userFeatures, itemFeatures);
var storage = Path.Combine( Path.GetTempPath(), "storage.bin");
try {
IPersistenceStrategy persistenceStrategy = new FilePersistenceStrategy(storage);
Assert.IsNull(persistenceStrategy.Load());
persistenceStrategy.MaybePersist(original);
Factorization clone = persistenceStrategy.Load();
Assert.True(original.Equals( clone ) );
} finally {
if (File.Exists(storage))
try { File.Delete(storage); } catch { }
}
}
public void testGrow()
{
FastByIDMap<String> map = new FastByIDMap<String>(1,1);
map.Put(500000L, "alpha");
map.Put(47L, "bang");
Assert.IsNull(map.Get(500000L));
Assert.AreEqual("bang", map.Get(47L));
}
public void testMaxSize()
{
FastByIDMap<String> map = new FastByIDMap<String>();
map.Put(4, "bang");
Assert.AreEqual(1, map.Count());
map.Put(47L, "bang");
Assert.AreEqual(2, map.Count());
Assert.IsNull(map.Get(500000L));
map.Put(47L, "buzz");
Assert.AreEqual(2, map.Count());
Assert.AreEqual("buzz", map.Get(47L));
}
public void testGetUserIDs()
{
IPreferenceArray prefs = new GenericUserPreferenceArray(1);
long sampleUserID = 1;
prefs.SetUserID(0, sampleUserID);
long sampleItemID = 11;
prefs.SetItemID(0, sampleItemID);
FastByIDMap <IPreferenceArray> delegatePreferences = new FastByIDMap <IPreferenceArray>();
delegatePreferences.Put(sampleUserID, prefs);
PlusAnonymousConcurrentUserDataModel instance = getTestableWithDelegateData(10, delegatePreferences);
long anonymousUserID = instance.TakeAvailableUser().Value;
IPreferenceArray tempPrefs = new GenericUserPreferenceArray(1);
tempPrefs.SetUserID(0, anonymousUserID);
tempPrefs.SetItemID(0, 22);
instance.SetTempPrefs(tempPrefs, anonymousUserID);
var userIDs = instance.GetUserIDs();
userIDs.MoveNext();
Assert.AreEqual(sampleUserID, userIDs.Current);
Assert.False(userIDs.MoveNext());
}
public void setUpSyntheticData()
{
int numUsers = 2000;
int numItems = 1000;
double sparsity = 0.5;
this.rank = 20;
this.lambda = 0.000000001;
this.numIterations = 100;
var users = randomMatrix(numUsers, rank, 1);
var items = randomMatrix(rank, numItems, 1);
var ratings = times(users, items);
normalize(ratings, 5);
FastByIDMap <IPreferenceArray> userData = new FastByIDMap <IPreferenceArray>();
for (int userIndex = 0; userIndex < numUsers; userIndex++)
{
List <IPreference> row = new List <IPreference>();
for (int itemIndex = 0; itemIndex < numItems; itemIndex++)
{
if (random.nextDouble() <= sparsity)
{
row.Add(new GenericPreference(userIndex, itemIndex, (float)ratings[userIndex, itemIndex]));
}
}
userData.Put(userIndex, new GenericUserPreferenceArray(row));
}
dataModel = new GenericDataModel(userData);
}
public GenericDataModel GetUserBasedDataModel()
{
FastByIDMap <IPreferenceArray> data = new FastByIDMap <IPreferenceArray>();
IEnumerable <UserBookReview> allBookReviews = _userBookReviewRepository.GetListOf();
var everyReviewsUserId = allBookReviews.GroupBy(b => b.UserId).Select(x => x.Key).ToList();
foreach (int userId in everyReviewsUserId)
{
List <UserBookReview> bookReviewsForABook = (from userReviews in allBookReviews
where userReviews.UserId == userId
select userReviews).ToList();
List <IPreference> listOfPreferences = new List <IPreference>();
foreach (UserBookReview review in bookReviewsForABook)
{
int rating = review.Rating;
int bookId = review.BookId;
GenericPreference pref = new GenericPreference(userId, bookId, rating); /// userId, itemid, valueId
listOfPreferences.Add(pref);
}
GenericUserPreferenceArray dataArray = new GenericUserPreferenceArray(listOfPreferences);
data.Put(userId, dataArray);
}
return(new GenericDataModel(data));
}
internal static IDataModel BuildModel(IList <UserItem> userItems, bool isReviewBased)
{
FastByIDMap <IList <IPreference> > userPreferencesMap = new FastByIDMap <IList <IPreference> >();
foreach (var userItem in userItems)
{
var userPreferences = userPreferencesMap.Get(userItem.UserId);
if (userPreferences == null)
{
userPreferences = new List <IPreference>(3);
userPreferencesMap.Put(userItem.UserId, userPreferences);
}
if (isReviewBased)
{
userPreferences.Add(new GenericPreference(userItem.UserId, userItem.ItemId, userItem.Rating));
}
else
{
userPreferences.Add(new BooleanPreference(userItem.UserId, userItem.ItemId));
}
}
var resultUserPreferences = new FastByIDMap <IPreferenceArray>(userPreferencesMap.Count());
foreach (var entry in userPreferencesMap.EntrySet())
{
var prefList = (List <IPreference>)entry.Value;
resultUserPreferences.Put(entry.Key, isReviewBased ?
new GenericUserPreferenceArray(prefList) :
(IPreferenceArray) new BooleanUserPreferenceArray(prefList));
}
return(new GenericDataModel(resultUserPreferences));
}
public void setUpSyntheticData()
{
int numUsers = 2000;
int numItems = 1000;
double sparsity = 0.5;
this.rank = 20;
this.lambda = 0.000000001;
this.numIterations = 100;
var users = randomMatrix(numUsers, rank, 1);
var items = randomMatrix(rank, numItems, 1);
var ratings = times(users, items);
normalize(ratings, 5);
FastByIDMap<IPreferenceArray> userData = new FastByIDMap<IPreferenceArray>();
for (int userIndex = 0; userIndex < numUsers; userIndex++) {
List<IPreference> row= new List<IPreference>();
for (int itemIndex = 0; itemIndex < numItems; itemIndex++) {
if (random.nextDouble() <= sparsity) {
row.Add(new GenericPreference(userIndex, itemIndex, (float) ratings[userIndex, itemIndex]));
}
}
userData.Put(userIndex, new GenericUserPreferenceArray(row));
}
dataModel = new GenericDataModel(userData);
}
public void testClear()
{
FastByIDMap<long?> map = new FastByIDMap<long?>();
map.Put(500000L, 2L);
map.Clear();
Assert.AreEqual(0, map.Count());
Assert.True(map.IsEmpty());
Assert.IsNull(map.Get(500000L));
}
/// <summary>
/// Creates a new <see cref="GenericDataModel"/> from the given users (and their preferences). This
/// <see cref="IDataModel"/> retains all this information in memory and is effectively immutable.
/// </summary>
/// <param name="userData">users to include; (see also <see cref="GenericDataModel.ToDataMap(FastByIDMap, bool)"/>)</param>
/// <param name="timestamps">timestamps optionally, provided timestamps of preferences as milliseconds since the epoch. User IDs are mapped to maps of item IDs to long timestamps.</param>
public GenericDataModel(FastByIDMap<IPreferenceArray> userData, FastByIDMap<FastByIDMap<DateTime?>> timestamps) {
//Preconditions.checkArgument(userData != null, "userData is null");
this.preferenceFromUsers = userData;
FastByIDMap<IList<IPreference>> prefsForItems = new FastByIDMap<IList<IPreference>>();
FastIDSet itemIDSet = new FastIDSet();
int currentCount = 0;
float maxPrefValue = float.NegativeInfinity;
float minPrefValue = float.PositiveInfinity;
foreach (var entry in preferenceFromUsers.EntrySet()) {
IPreferenceArray prefs = entry.Value;
prefs.SortByItem();
foreach (IPreference preference in prefs) {
long itemID = preference.GetItemID();
itemIDSet.Add(itemID);
var prefsForItem = prefsForItems.Get(itemID);
if (prefsForItem == null) {
prefsForItem = new List<IPreference>(2);
prefsForItems.Put(itemID, prefsForItem);
}
prefsForItem.Add(preference);
float value = preference.GetValue();
if (value > maxPrefValue) {
maxPrefValue = value;
}
if (value < minPrefValue) {
minPrefValue = value;
}
}
if (++currentCount % 10000 == 0) {
log.Info("Processed {0} users", currentCount);
}
}
log.Info("Processed {0} users", currentCount);
setMinPreference(minPrefValue);
setMaxPreference(maxPrefValue);
this.itemIDs = itemIDSet.ToArray();
itemIDSet = null; // Might help GC -- this is big
Array.Sort(itemIDs);
this.preferenceForItems = ToDataMap(prefsForItems, false);
foreach (var entry in preferenceForItems.EntrySet()) {
entry.Value.SortByUser();
}
this.userIDs = new long[userData.Count()];
int i = 0;
foreach (var v in userData.Keys) {
userIDs[i++] = v;
}
Array.Sort(userIDs);
this.timestamps = timestamps;
}
private static FastByIDMap <int?> createIDMapping(int size, IEnumerator <long> idIterator)
{
var mapping = new FastByIDMap <int?>(size);
int index = 0;
while (idIterator.MoveNext())
{
mapping.Put(idIterator.Current, index++);
}
return(mapping);
}
protected int itemIndex(long itemID)
{
int?itemIndex = itemIDMapping.Get(itemID);
if (itemIndex == null)
{
itemIndex = itemIDMapping.Count();
itemIDMapping.Put(itemID, itemIndex);
}
return(itemIndex.Value);
}
protected int userIndex(long userID)
{
int?userIndex = userIDMapping.Get(userID);
if (userIndex == null)
{
userIndex = userIDMapping.Count();
userIDMapping.Put(userID, userIndex);
}
return(userIndex.Value);
}
private static void addDatumAndCreateIfNeeded(long itemID, float value, FastByIDMap <IRunningAverage> averages)
{
IRunningAverage itemAverage = averages.Get(itemID);
if (itemAverage == null)
{
itemAverage = new FullRunningAverage();
averages.Put(itemID, itemAverage);
}
itemAverage.AddDatum(value);
}
/// <summary>Exports the simple user IDs and preferences in the data model.</summary>
/// <returns>a <see cref="FastByIDMap"/> mapping user IDs to <see cref="IPreferenceArray"/>s representing that user's preferences</returns>
public static FastByIDMap <IPreferenceArray> ToDataMap(IDataModel dataModel)
{
FastByIDMap <IPreferenceArray> data = new FastByIDMap <IPreferenceArray>(dataModel.GetNumUsers());
var it = dataModel.GetUserIDs();
while (it.MoveNext())
{
long userID = it.Current;
data.Put(userID, dataModel.GetPreferencesFromUser(userID));
}
return(data);
}
/// Exports the simple user IDs and associated item IDs in the data model.
///
/// @return a {@link FastByIDMap} mapping user IDs to {@link FastIDSet}s representing
/// that user's associated items
public static FastByIDMap <FastIDSet> toDataMap(IDataModel dataModel)
{
FastByIDMap <FastIDSet> data = new FastByIDMap <FastIDSet>(dataModel.GetNumUsers());
var it = dataModel.GetUserIDs();
while (it.MoveNext())
{
long userID = it.Current;
data.Put(userID, dataModel.GetItemIDsFromUser(userID));
}
return(data);
}
/// <summary>Swaps, in-place, <see cref="IList<T>"/>s for arrays in map values.</summary>
/// <returns>input value</returns>
public static FastByIDMap <IPreferenceArray> ToDataMap(FastByIDMap <IList <IPreference> > data, bool byUser)
{
var newData = new FastByIDMap <IPreferenceArray>(data.Count());
foreach (var entry in data.EntrySet())
{
var prefList = entry.Value;
newData.Put(entry.Key,
byUser ? (IPreferenceArray) new GenericUserPreferenceArray(prefList) : new GenericItemPreferenceArray(prefList));
}
return(newData);
}
protected void processLineWithoutID(String line,
FastByIDMap <FastIDSet> data,
FastByIDMap <FastByIDMap <DateTime?> > timestamps)
{
if (String.IsNullOrWhiteSpace(line) || line[0] == COMMENT_CHAR)
{
return;
}
var tokens = SplitLine(line);
string userIDString = tokens[0];
string itemIDString = tokens[1];
bool hasPreference = tokens.Length > 2;
string preferenceValueString = hasPreference ? tokens[2] : "";
bool hasTimestamp = tokens.Length > 3;
string timestampString = hasTimestamp ? tokens[3] : null;
long userID = readUserIDFromString(userIDString);
long itemID = readItemIDFromString(itemIDString);
if (transpose)
{
long tmp = userID;
userID = itemID;
itemID = tmp;
}
if (hasPreference && !hasTimestamp && String.IsNullOrEmpty(preferenceValueString))
{
// Then line is of form "userID,itemID,", meaning remove
FastIDSet itemIDs = data.Get(userID);
if (itemIDs != null)
{
itemIDs.Remove(itemID);
}
removeTimestamp(userID, itemID, timestamps);
}
else
{
FastIDSet itemIDs = data.Get(userID);
if (itemIDs == null)
{
itemIDs = new FastIDSet(2);
data.Put(userID, itemIDs);
}
itemIDs.Add(itemID);
addTimestamp(userID, itemID, timestampString, timestamps);
}
}
public void testGetNumUsersWithDelegateUsersOnly()
{
IPreferenceArray prefs = new GenericUserPreferenceArray(1);
long sampleUserID = 1;
prefs.SetUserID(0, sampleUserID);
long sampleItemID = 11;
prefs.SetItemID(0, sampleItemID);
FastByIDMap<IPreferenceArray> delegatePreferences = new FastByIDMap<IPreferenceArray>();
delegatePreferences.Put(sampleUserID, prefs);
PlusAnonymousConcurrentUserDataModel instance = getTestableWithDelegateData(10, delegatePreferences);
Assert.AreEqual(1, instance.GetNumUsers());
}
public void ProcessOtherUser(long userID,
FastIDSet relevantItemIDs,
FastByIDMap<IPreferenceArray> trainingUsers,
long otherUserID,
IDataModel dataModel) {
IPreferenceArray prefs2Array = dataModel.GetPreferencesFromUser(otherUserID);
// If we're dealing with the very user that we're evaluating for precision/recall,
if (userID == otherUserID) {
// then must remove all the test IDs, the "relevant" item IDs
List<IPreference> prefs2 = new List<IPreference>(prefs2Array.Length());
foreach (IPreference pref in prefs2Array) {
if (!relevantItemIDs.Contains(pref.GetItemID())) {
prefs2.Add(pref);
}
}
if (prefs2.Count>0) {
trainingUsers.Put(otherUserID, new GenericUserPreferenceArray(prefs2));
}
} else {
// otherwise just add all those other user's prefs
trainingUsers.Put(otherUserID, prefs2Array);
}
}
public static IDataModel getBooleanDataModel(long[] userIDs, bool[][] prefs)
{
FastByIDMap<FastIDSet> result = new FastByIDMap<FastIDSet>();
for (int i = 0; i < userIDs.Length; i++) {
FastIDSet prefsSet = new FastIDSet();
for (int j = 0; j < prefs[i].Length; j++) {
if (prefs[i][j]) {
prefsSet.Add(j);
}
}
if (!prefsSet.IsEmpty()) {
result.Put(userIDs[i], prefsSet);
}
}
return new GenericBooleanPrefDataModel(result);
}
public static IDataModel getDataModel(long[] userIDs, double?[][] prefValues)
{
FastByIDMap<IPreferenceArray> result = new FastByIDMap<IPreferenceArray>();
for (int i = 0; i < userIDs.Length; i++) {
List<IPreference> prefsList = new List<IPreference>();
for (int j = 0; j < prefValues[i].Length; j++) {
if (prefValues[i][j].HasValue) {
prefsList.Add(new GenericPreference(userIDs[i], j, (float) prefValues[i][j].Value ));
}
}
if (prefsList.Count>0) {
result.Put(userIDs[i], new GenericUserPreferenceArray(prefsList));
}
}
return new GenericDataModel(result);
}
private void addTimestamp(long userID,
long itemID,
string timestampString,
FastByIDMap <FastByIDMap <DateTime?> > timestamps)
{
if (timestampString != null)
{
FastByIDMap <DateTime?> itemTimestamps = timestamps.Get(userID);
if (itemTimestamps == null)
{
itemTimestamps = new FastByIDMap <DateTime?>();
timestamps.Put(userID, itemTimestamps);
}
var timestamp = readTimestampFromString(timestampString);
itemTimestamps.Put(itemID, timestamp);
}
}
public static Factorization readBinary(Stream inFile)
{
var binRdr = new BinaryReader(inFile);
int numFeatures = binRdr.ReadInt32();
int numUsers = binRdr.ReadInt32();
int numItems = binRdr.ReadInt32();
FastByIDMap <int?> userIDMapping = new FastByIDMap <int?>(numUsers);
double[][] userFeatures = new double[numUsers][];
for (int n = 0; n < numUsers; n++)
{
int userIndex = binRdr.ReadInt32();
long userID = binRdr.ReadInt64();
userFeatures[userIndex] = new double[numFeatures];
userIDMapping.Put(userID, userIndex);
for (int feature = 0; feature < numFeatures; feature++)
{
userFeatures[userIndex][feature] = binRdr.ReadDouble();
}
}
FastByIDMap <int?> itemIDMapping = new FastByIDMap <int?>(numItems);
double[][] itemFeatures = new double[numItems][];
for (int n = 0; n < numItems; n++)
{
int itemIndex = binRdr.ReadInt32();
long itemID = binRdr.ReadInt64();
itemFeatures[itemIndex] = new double[numFeatures];
itemIDMapping.Put(itemID, itemIndex);
for (int feature = 0; feature < numFeatures; feature++)
{
itemFeatures[itemIndex][feature] = binRdr.ReadDouble();
}
}
return(new Factorization(userIDMapping, itemIDMapping, userFeatures, itemFeatures));
}
public static FastByIDMap <FastIDSet> toDataMap(FastByIDMap <IPreferenceArray> data)
{
var res = new FastByIDMap <FastIDSet>(data.Count());
foreach (var entry in data.EntrySet())
{
IPreferenceArray prefArray = entry.Value;
int size = prefArray.Length();
FastIDSet itemIDs = new FastIDSet(size);
for (int i = 0; i < size; i++)
{
itemIDs.Add(prefArray.GetItemID(i));
}
res.Put(entry.Key, itemIDs);
}
return(res);
}
public void testGetPreferencesForNonAnonymousUser()
{
IPreferenceArray prefs = new GenericUserPreferenceArray(1);
long sampleUserID = 1;
prefs.SetUserID(0, sampleUserID);
long sampleItemID = 11;
prefs.SetItemID(0, sampleItemID);
FastByIDMap <IPreferenceArray> delegatePreferences = new FastByIDMap <IPreferenceArray>();
delegatePreferences.Put(sampleUserID, prefs);
PlusAnonymousConcurrentUserDataModel instance = getTestableWithDelegateData(10, delegatePreferences);
Assert.AreEqual(prefs, instance.GetPreferencesFromUser(sampleUserID));
}
/// <p>
/// Creates a new {@link GenericDataModel} from the given users (and their preferences). This
/// {@link DataModel} retains all this information in memory and is effectively immutable.
/// </p>
///
/// @param userData users to include
/// @param timestamps optionally, provided timestamps of preferences as milliseconds since the epoch.
/// User IDs are mapped to maps of item IDs to long timestamps.
public GenericBooleanPrefDataModel(FastByIDMap <FastIDSet> userData, FastByIDMap <FastByIDMap <DateTime?> > timestamps)
{
//Preconditions.checkArgument(userData != null, "userData is null");
this.preferenceFromUsers = userData;
this.preferenceForItems = new FastByIDMap <FastIDSet>();
FastIDSet itemIDSet = new FastIDSet();
foreach (var entry in preferenceFromUsers.EntrySet())
{
long userID = entry.Key;
FastIDSet itemIDs1 = entry.Value;
itemIDSet.AddAll(itemIDs1);
var it = itemIDs1.GetEnumerator();
while (it.MoveNext())
{
long itemID = it.Current;
FastIDSet userIDs1 = preferenceForItems.Get(itemID);
if (userIDs1 == null)
{
userIDs1 = new FastIDSet(2);
preferenceForItems.Put(itemID, userIDs1);
}
userIDs1.Add(userID);
}
}
this.itemIDs = itemIDSet.ToArray();
itemIDSet = null; // Might help GC -- this is big
Array.Sort(itemIDs);
this.userIDs = new long[userData.Count()];
int i = 0;
var it1 = userData.Keys.GetEnumerator();
while (it1.MoveNext())
{
userIDs[i++] = it1.Current;
}
Array.Sort(userIDs);
this.timestamps = timestamps;
}
public void testGetPreferencesForItem()
{
IPreferenceArray prefs = new GenericUserPreferenceArray(2);
long sampleUserID = 4;
prefs.SetUserID(0, sampleUserID);
long sampleItemID = 11;
prefs.SetItemID(0, sampleItemID);
prefs.SetUserID(1, sampleUserID);
long sampleItemID2 = 22;
prefs.SetItemID(1, sampleItemID2);
FastByIDMap <IPreferenceArray> delegatePreferences = new FastByIDMap <IPreferenceArray>();
delegatePreferences.Put(sampleUserID, prefs);
PlusAnonymousConcurrentUserDataModel instance = getTestableWithDelegateData(10, delegatePreferences);
long anonymousUserID = instance.TakeAvailableUser().Value;
IPreferenceArray tempPrefs = new GenericUserPreferenceArray(2);
tempPrefs.SetUserID(0, anonymousUserID);
tempPrefs.SetItemID(0, sampleItemID);
tempPrefs.SetUserID(1, anonymousUserID);
long sampleItemID3 = 33;
tempPrefs.SetItemID(1, sampleItemID3);
instance.SetTempPrefs(tempPrefs, anonymousUserID);
Assert.AreEqual(sampleUserID, instance.GetPreferencesForItem(sampleItemID).Get(0).GetUserID());
Assert.AreEqual(2, instance.GetPreferencesForItem(sampleItemID).Length());
Assert.AreEqual(1, instance.GetPreferencesForItem(sampleItemID2).Length());
Assert.AreEqual(1, instance.GetPreferencesForItem(sampleItemID3).Length());
Assert.AreEqual(2, instance.GetNumUsersWithPreferenceFor(sampleItemID));
Assert.AreEqual(1, instance.GetNumUsersWithPreferenceFor(sampleItemID, sampleItemID2));
Assert.AreEqual(1, instance.GetNumUsersWithPreferenceFor(sampleItemID, sampleItemID3));
}
public IDataModel Load()
{
var hasPrefVal = !String.IsNullOrEmpty(PrefValFld);
FastByIDMap <IList <IPreference> > data = new FastByIDMap <IList <IPreference> >();
using (var dbRdr = SelectCmd.ExecuteReader()) {
while (dbRdr.Read())
{
long userID = Convert.ToInt64(dbRdr[UserIdFld]);
long itemID = Convert.ToInt64(dbRdr[ItemIdFld]);
var userPrefs = data.Get(userID);
if (userPrefs == null)
{
userPrefs = new List <IPreference>(3);
data.Put(userID, userPrefs);
}
if (hasPrefVal)
{
var prefVal = Convert.ToSingle(dbRdr[PrefValFld]);
userPrefs.Add(new GenericPreference(userID, itemID, prefVal));
}
else
{
userPrefs.Add(new BooleanPreference(userID, itemID));
}
}
}
var newData = new FastByIDMap <IPreferenceArray>(data.Count());
foreach (var entry in data.EntrySet())
{
var prefList = (List <IPreference>)entry.Value;
newData.Put(entry.Key, hasPrefVal ?
(IPreferenceArray) new GenericUserPreferenceArray(prefList) :
(IPreferenceArray) new BooleanUserPreferenceArray(prefList));
}
return(new GenericDataModel(newData));
}
public void testPreferenceShufflerWithSyntheticData()
{
setUpSyntheticData();
ParallelSGDFactorizer.PreferenceShuffler shuffler = new ParallelSGDFactorizer.PreferenceShuffler(dataModel);
shuffler.shuffle();
shuffler.stage();
FastByIDMap <FastByIDMap <bool?> > checkedLst = new FastByIDMap <FastByIDMap <bool?> >();
for (int i = 0; i < shuffler.size(); i++)
{
IPreference pref = shuffler.get(i);
float?value = dataModel.GetPreferenceValue(pref.GetUserID(), pref.GetItemID());
Assert.AreEqual(pref.GetValue(), value.Value, 0.0);
if (!checkedLst.ContainsKey(pref.GetUserID()))
{
checkedLst.Put(pref.GetUserID(), new FastByIDMap <bool?>());
}
Assert.IsNull(checkedLst.Get(pref.GetUserID()).Get(pref.GetItemID()));
checkedLst.Get(pref.GetUserID()).Put(pref.GetItemID(), true);
}
var userIDs = dataModel.GetUserIDs();
int index = 0;
while (userIDs.MoveNext())
{
long userID = userIDs.Current;
IPreferenceArray preferencesFromUser = dataModel.GetPreferencesFromUser(userID);
foreach (IPreference preference in preferencesFromUser)
{
Assert.True(checkedLst.Get(preference.GetUserID()).Get(preference.GetItemID()).Value);
index++;
}
}
Assert.AreEqual(index, shuffler.size());
}
public static IDataModel getDataModel(long[] userIDs, double?[][] prefValues)
{
FastByIDMap <IPreferenceArray> result = new FastByIDMap <IPreferenceArray>();
for (int i = 0; i < userIDs.Length; i++)
{
List <IPreference> prefsList = new List <IPreference>();
for (int j = 0; j < prefValues[i].Length; j++)
{
if (prefValues[i][j].HasValue)
{
prefsList.Add(new GenericPreference(userIDs[i], j, (float)prefValues[i][j].Value));
}
}
if (prefsList.Count > 0)
{
result.Put(userIDs[i], new GenericUserPreferenceArray(prefsList));
}
}
return(new GenericDataModel(result));
}
public static IDataModel getBooleanDataModel(long[] userIDs, bool[][] prefs)
{
FastByIDMap <FastIDSet> result = new FastByIDMap <FastIDSet>();
for (int i = 0; i < userIDs.Length; i++)
{
FastIDSet prefsSet = new FastIDSet();
for (int j = 0; j < prefs[i].Length; j++)
{
if (prefs[i][j])
{
prefsSet.Add(j);
}
}
if (!prefsSet.IsEmpty())
{
result.Put(userIDs[i], prefsSet);
}
}
return(new GenericBooleanPrefDataModel(result));
}
private IDataModel GetDataModel()
{
var cacheKey = "RecommenderDataModel";
IDataModel dataModel = _memoryCache.Get <IDataModel>(cacheKey);
if (dataModel != null)
{
return(dataModel);
}
var movieRatings = _unitOfWork.MovieRatingRepository.GetAll();
FastByIDMap <IList <IPreference> > data = new FastByIDMap <IList <IPreference> >();
foreach (var movieRating in movieRatings)
{
var userPreferences = data.Get(movieRating.UserId);
if (userPreferences == null)
{
userPreferences = new List <IPreference>(3);
data.Put(movieRating.UserId, userPreferences);
}
userPreferences.Add(new BooleanPreference(movieRating.UserId, movieRating.MovieId));
}
var newData = new FastByIDMap <IPreferenceArray>(data.Count());
foreach (var entry in data.EntrySet())
{
var prefList = (List <IPreference>)entry.Value;
newData.Put(entry.Key, (IPreferenceArray) new BooleanUserPreferenceArray(prefList));
}
dataModel = new GenericDataModel(newData);
_memoryCache.Set(cacheKey, dataModel);
return(new GenericDataModel(newData));
}
private void splitOneUsersPrefs(double trainingPercentage,
FastByIDMap <IPreferenceArray> trainingPrefs,
FastByIDMap <IPreferenceArray> testPrefs,
long userID,
IDataModel dataModel)
{
List <IPreference> oneUserTrainingPrefs = null;
List <IPreference> oneUserTestPrefs = null;
IPreferenceArray prefs = dataModel.GetPreferencesFromUser(userID);
int size = prefs.Length();
for (int i = 0; i < size; i++)
{
IPreference newPref = new GenericPreference(userID, prefs.GetItemID(i), prefs.GetValue(i));
if (random.nextDouble() < trainingPercentage)
{
if (oneUserTrainingPrefs == null)
{
oneUserTrainingPrefs = new List <IPreference>(3);
}
oneUserTrainingPrefs.Add(newPref);
}
else
{
if (oneUserTestPrefs == null)
{
oneUserTestPrefs = new List <IPreference>(3);
}
oneUserTestPrefs.Add(newPref);
}
}
if (oneUserTrainingPrefs != null)
{
trainingPrefs.Put(userID, new GenericUserPreferenceArray(oneUserTrainingPrefs));
if (oneUserTestPrefs != null)
{
testPrefs.Put(userID, new GenericUserPreferenceArray(oneUserTestPrefs));
}
}
}
/// <p>
/// Creates a new {@link GenericDataModel} from the given users (and their preferences). This
/// {@link DataModel} retains all this information in memory and is effectively immutable.
/// </p>
///
/// @param userData users to include
/// @param timestamps optionally, provided timestamps of preferences as milliseconds since the epoch.
/// User IDs are mapped to maps of item IDs to long timestamps.
public GenericBooleanPrefDataModel(FastByIDMap<FastIDSet> userData, FastByIDMap<FastByIDMap<DateTime?>> timestamps) {
//Preconditions.checkArgument(userData != null, "userData is null");
this.preferenceFromUsers = userData;
this.preferenceForItems = new FastByIDMap<FastIDSet>();
FastIDSet itemIDSet = new FastIDSet();
foreach (var entry in preferenceFromUsers.EntrySet()) {
long userID = entry.Key;
FastIDSet itemIDs1 = entry.Value;
itemIDSet.AddAll(itemIDs1);
var it = itemIDs1.GetEnumerator();
while (it.MoveNext()) {
long itemID = it.Current;
FastIDSet userIDs1 = preferenceForItems.Get(itemID);
if (userIDs1 == null) {
userIDs1 = new FastIDSet(2);
preferenceForItems.Put(itemID, userIDs1);
}
userIDs1.Add(userID);
}
}
this.itemIDs = itemIDSet.ToArray();
itemIDSet = null; // Might help GC -- this is big
Array.Sort(itemIDs);
this.userIDs = new long[userData.Count()];
int i = 0;
var it1 = userData.Keys.GetEnumerator();
while (it1.MoveNext()) {
userIDs[i++] = it1.Current;
}
Array.Sort(userIDs);
this.timestamps = timestamps;
}
public static FastByIDMap<IPreferenceArray> ToDataMap(FastByIDMap<IList<IPreference>> data,long userId,long itemId, bool byUser)
{
var newData = new FastByIDMap<IPreferenceArray>(data.Count());
preferenceFromUsersRemoved = new FastByIDMap<IPreference>();
foreach (var entry in data.EntrySet())
{
var prefList = entry.Value;
if (entry.Key==userId)
{
preferenceFromUsersRemoved.Put(userId, prefList.FirstOrDefault(i => i.GetItemID() == itemId));
prefList.Remove(prefList.FirstOrDefault(i => i.GetItemID() == itemId));
}
newData.Put(entry.Key,
byUser ? (IPreferenceArray)new GenericUserPreferenceArray(prefList) : new GenericItemPreferenceArray(prefList));
}
return newData;
}
/// <summary>Swaps, in-place, <see cref="IList<T>"/>s for arrays in map values.</summary>
/// <returns>input value</returns>
public static FastByIDMap<IPreferenceArray> ToDataMap(FastByIDMap<IList<IPreference>> data, bool byUser) {
var newData = new FastByIDMap<IPreferenceArray>( data.Count() );
foreach (var entry in data.EntrySet()) {
var prefList = entry.Value;
newData.Put( entry.Key,
byUser ? (IPreferenceArray) new GenericUserPreferenceArray(prefList) : new GenericItemPreferenceArray(prefList) );
}
return newData;
}
private static FastByIDMap<String> buildTestFastMap()
{
FastByIDMap<String> map = new FastByIDMap<String>();
map.Put(500000L, "alpha");
map.Put(47L, "bang");
map.Put(2L, "beta");
return map;
}
public void testVersusHashMap()
{
FastByIDMap<String> actual = new FastByIDMap<String>();
IDictionary<long, string> expected = new Dictionary<long,string>(1000000);
var r = RandomUtils.getRandom();
for (int i = 0; i < 1000000; i++) {
double d = r.nextDouble();
long key = (long) r.nextInt(100);
if (d < 0.4) {
Assert.AreEqual( expected.ContainsKey(key)?expected[key]:null, actual.Get(key));
} else {
if (d < 0.7) {
var expectedOldVal = expected.ContainsKey(key) ? expected[key] : null;
expected[key] = "bang";
Assert.AreEqual(expectedOldVal, actual.Put(key, "bang"));
} else {
var expectedOldVal = expected.ContainsKey(key) ? expected[key] : null;
expected.Remove(key);
Assert.AreEqual(expectedOldVal, actual.Remove(key));
}
Assert.AreEqual(expected.Count, actual.Count());
Assert.AreEqual(expected.Count==0, actual.IsEmpty());
}
}
}
public override void SetUp()
{
base.SetUp();
FastByIDMap<IPreferenceArray> userData = new FastByIDMap<IPreferenceArray>();
userData.Put(1L, new GenericUserPreferenceArray( new List<IPreference>() {new GenericPreference(1L, 1L, 5.0f),
new GenericPreference(1L, 2L, 5.0f),
new GenericPreference(1L, 3L, 2.0f) } ));
userData.Put(2L, new GenericUserPreferenceArray( new List<IPreference>() {new GenericPreference(2L, 1L, 2.0f),
new GenericPreference(2L, 3L, 3.0f),
new GenericPreference(2L, 4L, 5.0f) } ));
userData.Put(3L, new GenericUserPreferenceArray( new List<IPreference>() {new GenericPreference(3L, 2L, 5.0f),
new GenericPreference(3L, 4L, 3.0f) } ));
userData.Put(4L, new GenericUserPreferenceArray(new List<IPreference>() {new GenericPreference(4L, 1L, 3.0f),
new GenericPreference(4L, 4L, 5.0f)}));
dataModel = new GenericDataModel(userData);
factorizer = new ALSWRFactorizer(dataModel, 3, 0.065, 10);
}
public void setUpToyData()
{
this.rank = 3;
this.lambda = 0.01;
this.numIterations = 1000;
FastByIDMap<IPreferenceArray> userData = new FastByIDMap<IPreferenceArray>();
userData.Put(1L, new GenericUserPreferenceArray( new List<IPreference>() {
new GenericPreference(1L, 1L, 5.0f),
new GenericPreference(1L, 2L, 5.0f),
new GenericPreference(1L, 3L, 2.0f) }));
userData.Put(2L, new GenericUserPreferenceArray(new List<IPreference>() {
new GenericPreference(2L, 1L, 2.0f),
new GenericPreference(2L, 3L, 3.0f),
new GenericPreference(2L, 4L, 5.0f)} ));
userData.Put(3L, new GenericUserPreferenceArray(new List<IPreference>() {
new GenericPreference(3L, 2L, 5.0f),
new GenericPreference(3L, 4L, 3.0f)}));
userData.Put(4L, new GenericUserPreferenceArray(new List<IPreference>() {
new GenericPreference(4L, 1L, 3.0f),
new GenericPreference(4L, 4L, 5.0f)}));
dataModel = new GenericDataModel(userData);
}
/// <summary>
/// Creates a new <see cref="GenericDataModel"/> from the given users (and their preferences). This
/// <see cref="IDataModel"/> retains all this information in memory and is effectively immutable.
/// </summary>
/// <param name="userData">users to include; (see also <see cref="GenericDataModel.ToDataMap(FastByIDMap, bool)"/>)</param>
/// <param name="timestamps">timestamps optionally, provided timestamps of preferences as milliseconds since the epoch. User IDs are mapped to maps of item IDs to long timestamps.</param>
public GenericDataModel(FastByIDMap <IPreferenceArray> userData, FastByIDMap <FastByIDMap <DateTime?> > timestamps)
{
//Preconditions.checkArgument(userData != null, "userData is null");
this.preferenceFromUsers = userData;
FastByIDMap <IList <IPreference> > prefsForItems = new FastByIDMap <IList <IPreference> >();
FastIDSet itemIDSet = new FastIDSet();
int currentCount = 0;
float maxPrefValue = float.NegativeInfinity;
float minPrefValue = float.PositiveInfinity;
foreach (var entry in preferenceFromUsers.EntrySet())
{
IPreferenceArray prefs = entry.Value;
prefs.SortByItem();
foreach (IPreference preference in prefs)
{
long itemID = preference.GetItemID();
itemIDSet.Add(itemID);
var prefsForItem = prefsForItems.Get(itemID);
if (prefsForItem == null)
{
prefsForItem = new List <IPreference>(2);
prefsForItems.Put(itemID, prefsForItem);
}
prefsForItem.Add(preference);
float value = preference.GetValue();
if (value > maxPrefValue)
{
maxPrefValue = value;
}
if (value < minPrefValue)
{
minPrefValue = value;
}
}
if (++currentCount % 10000 == 0)
{
log.Info("Processed {0} users", currentCount);
}
}
log.Info("Processed {0} users", currentCount);
setMinPreference(minPrefValue);
setMaxPreference(maxPrefValue);
this.itemIDs = itemIDSet.ToArray();
itemIDSet = null; // Might help GC -- this is big
Array.Sort(itemIDs);
this.preferenceForItems = ToDataMap(prefsForItems, false);
foreach (var entry in preferenceForItems.EntrySet())
{
entry.Value.SortByUser();
}
this.userIDs = new long[userData.Count()];
int i = 0;
foreach (var v in userData.Keys)
{
userIDs[i++] = v;
}
Array.Sort(userIDs);
this.timestamps = timestamps;
}
public void testGetUserIDs()
{
IPreferenceArray prefs = new GenericUserPreferenceArray(1);
long sampleUserID = 1;
prefs.SetUserID(0, sampleUserID);
long sampleItemID = 11;
prefs.SetItemID(0, sampleItemID);
FastByIDMap<IPreferenceArray> delegatePreferences = new FastByIDMap<IPreferenceArray>();
delegatePreferences.Put(sampleUserID, prefs);
PlusAnonymousConcurrentUserDataModel instance = getTestableWithDelegateData(10, delegatePreferences);
long anonymousUserID = instance.TakeAvailableUser().Value;
IPreferenceArray tempPrefs = new GenericUserPreferenceArray(1);
tempPrefs.SetUserID(0, anonymousUserID);
tempPrefs.SetItemID(0, 22);
instance.SetTempPrefs(tempPrefs, anonymousUserID);
var userIDs = instance.GetUserIDs();
userIDs.MoveNext();
Assert.AreEqual(sampleUserID, userIDs.Current);
Assert.False(userIDs.MoveNext());
}
public void testGetPreferencesForItem()
{
IPreferenceArray prefs = new GenericUserPreferenceArray(2);
long sampleUserID = 4;
prefs.SetUserID(0, sampleUserID);
long sampleItemID = 11;
prefs.SetItemID(0, sampleItemID);
prefs.SetUserID(1, sampleUserID);
long sampleItemID2 = 22;
prefs.SetItemID(1, sampleItemID2);
FastByIDMap<IPreferenceArray> delegatePreferences = new FastByIDMap<IPreferenceArray>();
delegatePreferences.Put(sampleUserID, prefs);
PlusAnonymousConcurrentUserDataModel instance = getTestableWithDelegateData(10, delegatePreferences);
long anonymousUserID = instance.TakeAvailableUser().Value;
IPreferenceArray tempPrefs = new GenericUserPreferenceArray(2);
tempPrefs.SetUserID(0, anonymousUserID);
tempPrefs.SetItemID(0, sampleItemID);
tempPrefs.SetUserID(1, anonymousUserID);
long sampleItemID3 = 33;
tempPrefs.SetItemID(1, sampleItemID3);
instance.SetTempPrefs(tempPrefs, anonymousUserID);
Assert.AreEqual(sampleUserID, instance.GetPreferencesForItem(sampleItemID).Get(0).GetUserID());
Assert.AreEqual(2, instance.GetPreferencesForItem(sampleItemID).Length());
Assert.AreEqual(1, instance.GetPreferencesForItem(sampleItemID2).Length());
Assert.AreEqual(1, instance.GetPreferencesForItem(sampleItemID3).Length());
Assert.AreEqual(2, instance.GetNumUsersWithPreferenceFor(sampleItemID));
Assert.AreEqual(1, instance.GetNumUsersWithPreferenceFor(sampleItemID, sampleItemID2));
Assert.AreEqual(1, instance.GetNumUsersWithPreferenceFor(sampleItemID, sampleItemID3));
}
/// Exports the simple user IDs and associated item IDs in the data model.
///
/// @return a {@link FastByIDMap} mapping user IDs to {@link FastIDSet}s representing
/// that user's associated items
public static FastByIDMap<FastIDSet> toDataMap(IDataModel dataModel) {
FastByIDMap<FastIDSet> data = new FastByIDMap<FastIDSet>(dataModel.GetNumUsers());
var it = dataModel.GetUserIDs();
while (it.MoveNext()) {
long userID = it.Current;
data.Put(userID, dataModel.GetItemIDsFromUser(userID));
}
return data;
}
/// <summary>Exports the simple user IDs and preferences in the data model.</summary>
/// <returns>a <see cref="FastByIDMap"/> mapping user IDs to <see cref="IPreferenceArray"/>s representing that user's preferences</returns>
public static FastByIDMap<IPreferenceArray> ToDataMap(IDataModel dataModel) {
FastByIDMap<IPreferenceArray> data = new FastByIDMap<IPreferenceArray>(dataModel.GetNumUsers());
var it = dataModel.GetUserIDs();
while (it.MoveNext()) {
long userID = it.Current;
data.Put(userID, dataModel.GetPreferencesFromUser(userID));
}
return data;
}
private static FastByIDMap<int?> createIDMapping(int size, IEnumerator<long> idIterator) {
var mapping = new FastByIDMap<int?>(size);
int index = 0;
while (idIterator.MoveNext()) {
mapping.Put(idIterator.Current, index++);
}
return mapping;
}
public void testPutAndGet()
{
FastByIDMap<long?> map = new FastByIDMap<long?>();
Assert.IsNull(map.Get(500000L));
map.Put(500000L, 2L);
Assert.AreEqual(2L, (long) map.Get(500000L));
}
public static Factorization readBinary(Stream inFile) {
var binRdr = new BinaryReader(inFile);
int numFeatures = binRdr.ReadInt32();
int numUsers = binRdr.ReadInt32();
int numItems = binRdr.ReadInt32();
FastByIDMap<int?> userIDMapping = new FastByIDMap<int?>(numUsers);
double[][] userFeatures = new double[numUsers][];
for (int n = 0; n < numUsers; n++) {
int userIndex = binRdr.ReadInt32();
long userID = binRdr.ReadInt64();
userFeatures[userIndex] = new double[numFeatures];
userIDMapping.Put(userID, userIndex);
for (int feature = 0; feature < numFeatures; feature++) {
userFeatures[userIndex][feature] = binRdr.ReadDouble();
}
}
FastByIDMap<int?> itemIDMapping = new FastByIDMap<int?>(numItems);
double[][] itemFeatures = new double[numItems][];
for (int n = 0; n < numItems; n++) {
int itemIndex = binRdr.ReadInt32();
long itemID = binRdr.ReadInt64();
itemFeatures[itemIndex] = new double[numFeatures];
itemIDMapping.Put(itemID, itemIndex);
for (int feature = 0; feature < numFeatures; feature++) {
itemFeatures[itemIndex][feature] = binRdr.ReadDouble();
}
}
return new Factorization(userIDMapping, itemIDMapping, userFeatures, itemFeatures);
}
private void splitOneUsersPrefs(double trainingPercentage,
FastByIDMap<IPreferenceArray> trainingPrefs,
FastByIDMap<IPreferenceArray> testPrefs,
long userID,
IDataModel dataModel) {
List<IPreference> oneUserTrainingPrefs = null;
List<IPreference> oneUserTestPrefs = null;
IPreferenceArray prefs = dataModel.GetPreferencesFromUser(userID);
int size = prefs.Length();
for (int i = 0; i < size; i++) {
IPreference newPref = new GenericPreference(userID, prefs.GetItemID(i), prefs.GetValue(i));
if (random.nextDouble() < trainingPercentage) {
if (oneUserTrainingPrefs == null) {
oneUserTrainingPrefs = new List<IPreference>(3);
}
oneUserTrainingPrefs.Add(newPref);
} else {
if (oneUserTestPrefs == null) {
oneUserTestPrefs = new List<IPreference>(3);
}
oneUserTestPrefs.Add(newPref);
}
}
if (oneUserTrainingPrefs != null) {
trainingPrefs.Put(userID, new GenericUserPreferenceArray(oneUserTrainingPrefs));
if (oneUserTestPrefs != null) {
testPrefs.Put(userID, new GenericUserPreferenceArray(oneUserTestPrefs));
}
}
}
public void testSizeEmpty()
{
FastByIDMap<long> map = new FastByIDMap<long>();
Assert.AreEqual(0, map.Count());
Assert.True(map.IsEmpty());
map.Put(500000L, 2L);
Assert.AreEqual(1, map.Count());
Assert.False(map.IsEmpty());
map.Remove(500000L);
Assert.AreEqual(0, map.Count());
Assert.True(map.IsEmpty());
}
public void testPreferenceShufflerWithSyntheticData()
{
setUpSyntheticData();
ParallelSGDFactorizer.PreferenceShuffler shuffler = new ParallelSGDFactorizer.PreferenceShuffler(dataModel);
shuffler.shuffle();
shuffler.stage();
FastByIDMap<FastByIDMap<bool?>> checkedLst = new FastByIDMap<FastByIDMap<bool?>>();
for (int i = 0; i < shuffler.size(); i++) {
IPreference pref=shuffler.get(i);
float? value = dataModel.GetPreferenceValue(pref.GetUserID(), pref.GetItemID());
Assert.AreEqual(pref.GetValue(), value.Value, 0.0);
if (!checkedLst.ContainsKey(pref.GetUserID())) {
checkedLst.Put(pref.GetUserID(), new FastByIDMap<bool?>());
}
Assert.IsNull(checkedLst.Get(pref.GetUserID()).Get(pref.GetItemID()));
checkedLst.Get(pref.GetUserID()).Put(pref.GetItemID(), true);
}
var userIDs = dataModel.GetUserIDs();
int index=0;
while (userIDs.MoveNext()) {
long userID = userIDs.Current;
IPreferenceArray preferencesFromUser = dataModel.GetPreferencesFromUser(userID);
foreach (IPreference preference in preferencesFromUser) {
Assert.True(checkedLst.Get(preference.GetUserID()).Get(preference.GetItemID()).Value);
index++;
}
}
Assert.AreEqual(index, shuffler.size());
}
public static FastByIDMap<FastIDSet> toDataMap(FastByIDMap<IPreferenceArray> data) {
var res = new FastByIDMap<FastIDSet>( data.Count() );
foreach (var entry in data.EntrySet()) {
IPreferenceArray prefArray = entry.Value;
int size = prefArray.Length();
FastIDSet itemIDs = new FastIDSet(size);
for (int i = 0; i < size; i++) {
itemIDs.Add(prefArray.GetItemID(i));
}
res.Put( entry.Key, itemIDs );
}
return res;
}
