CFEngine API
A B C D E F G H I K L M N O P R S T U V W

S

sampleUsers() - Method in class org.recommender.server.DataManager
Function called by the Resample Thread, at regular intervals of time.
samplingFlag - Variable in class org.recommender.server.UserInfo
 
sd - Variable in class org.recommender.algorithms.Experimental.BinGaussian
 
setCFManager(ClientCFManager) - Method in class org.recommender.clients.console.ClientTextUI
 
setID(int) - Method in class org.recommender.clients.console.User
Call this method as soon as the user id is assigned.
setIdle(long) - Static method in class org.recommender.server.Resample
Disable this thread for while (static reference allows an external class to put it to sleep)
setIdle(long) - Static method in class org.recommender.server.CacheUpdate
Disable this thread for while (static reference allows an external class to put it to sleep)
setIncrementSize(int) - Method in class org.recommender.server.RatingArrays
Size the arrays will increase once they reach threshold
setItem(Item) - Method in class org.recommender.clients.console.Rating
 
setItem(Item) - Method in class org.recommender.clients.console.Prediction
 
setItemMean(float) - Method in class org.recommender.server.ItemInfo
 
setItemRatingsHash(IntHashMap) - Method in class org.recommender.server.ItemInfo
 
setItemSD(float) - Method in class org.recommender.server.ItemInfo
 
setMaxItems(int) - Method in class org.recommender.server.DataManager
 
setMaxUsers(int) - Method in class org.recommender.server.DataManager
 
setNumItems(int) - Method in class org.recommender.server.DataManager
 
setNumUsers(int) - Method in class org.recommender.server.DataManager
 
setNumUsersCached(int) - Method in class org.recommender.server.DataManager
 
setPredictionValue(float) - Method in class org.recommender.clients.console.Prediction
 
setRating(int, int, float) - Method in class org.recommender.server.CFEngineImpl
Send a new rating the CFEngine server.
setRating(int, int, float) - Method in interface org.recommender.server.CFEngine
Add new rating to both database and the cache.
setRatingList(ItemRating[]) - Method in class org.recommender.server.CFEngineImpl
Add a list of new ItemRatings to both database and the cache.
setRatingList(ItemRating[]) - Method in interface org.recommender.server.CFEngine
Add a list of new ItemRatings to both database and the cache.
setRatings(RatingArrays) - Method in class org.recommender.server.UserInfo
 
setRatingValue(int) - Method in class org.recommender.clients.console.Rating
 
setReferenced(boolean) - Method in class org.recommender.server.UserInfo
 
setServer(CFEngine) - Method in class org.recommender.clients.console.ClientCFManager
Setter.
setString(String, String) - Method in class org.recommender.algorithms.SimpleParameterSet
Sets a parameter's value.
setString(String, String) - Method in class org.recommender.algorithms.ParameterSet
Child classes are responsible for implementing this method, as well as some way to construct a ParameterSet.
setTypeId(int) - Method in class org.recommender.clients.console.Type
 
setTypeName(String) - Method in class org.recommender.clients.console.Type
 
setUpNeighborhoods() - Method in class org.recommender.algorithms.Experimental.UserItem2Algorithm
Set up neighborhoods.
setUpNeighborhoods() - Method in class org.recommender.algorithms.Experimental.UserItemAlgorithm
Set up neighborhood using pearson correlations.
setUseCount(int) - Method in class org.recommender.server.UserInfo
 
setUser(User) - Method in class org.recommender.clients.console.Rating
 
setUserAddedRatings(int) - Method in class org.recommender.server.UserInfo
 
setUserMean(float) - Method in class org.recommender.server.UserInfo
 
setUserSD(float) - Method in class org.recommender.server.UserInfo
 
showTable(String, Statement) - Static method in class org.recommender.util.Database
Print out the whole table.
shutdown() - Method in class org.recommender.server.CFEngineImpl
Graciously shut the server down.
shutdown() - Method in interface org.recommender.server.CFEngine
Shuts the server down.
shutdown() - Method in class org.recommender.server.DataManager
 
shutdown() - Method in class org.recommender.server.corba.CFEngineCorbaImpl
Graciously shut the server down.
SimilarityVector - Variable in class org.recommender.algorithms.Experimental.SVD_Pearson
 
SimilarityWeight - class org.recommender.algorithms.SimilarityWeight.
Represents the similarity between the active user (or item) and some neighbor user (or item).
SimilarityWeight(int, float) - Constructor for class org.recommender.algorithms.SimilarityWeight
Construct a new SimilarityWeight.
similarityWeightList - Variable in class org.recommender.algorithms.Experimental.PersonalityAlgorithm
 
SimpleDistributionAlgorithm - class org.recommender.algorithms.Experimental.SimpleDistributionAlgorithm.
Describes an implementation of the CFAlgorithm interface to make CF predictions using the Simple Pearson Correlation combined with distribtion vectors.
SimpleDistributionAlgorithm(DataManager) - Constructor for class org.recommender.algorithms.Experimental.SimpleDistributionAlgorithm
Constructor, pass in dataMgr and initialize algorithm parameters.
SimpleParameterSet - class org.recommender.algorithms.SimpleParameterSet.
Parse a file containing algorithm parameters, and allow access to those parameters.
SimpleParameterSet() - Constructor for class org.recommender.algorithms.SimpleParameterSet
Constructor, creates dummy parameter file
SimpleParameterSet(Properties) - Constructor for class org.recommender.algorithms.SimpleParameterSet
Constructor, gets params from props directly and changes them into strings
SimpleParameterSet(String) - Constructor for class org.recommender.algorithms.SimpleParameterSet
Constructor, loads the file with the given filename.
SimplePearsonAlgorithm - class org.recommender.algorithms.SimplePearsonAlgorithm.
Describes an implementation of the CFAlgorithm interface to make CF predictions using the Simple Pearson Correlation method.
SimplePearsonAlgorithm(DataManager) - Constructor for class org.recommender.algorithms.SimplePearsonAlgorithm
Constructor, pass in dataMgr and initialize algorithm parameters.
SimpleSVD - class org.recommender.algorithms.Experimental.SimpleSVD.
Describes an implementation of the CFAlgorithm interface to make CF predictions using the Simple SVD method.
SimpleSVD(DataManager) - Constructor for class org.recommender.algorithms.Experimental.SimpleSVD
Constructor, simply assigns DataManager.
SimpleSVDOperation() - Method in class org.recommender.algorithms.Experimental.SimpleSVD
Construct the SVD-reduced matrix
singleItemTest(int) - Method in class org.recommender.test.GetUserArrayTest
singleItemTest() Get user array: 1.get array 2.rate 5 users and get array 3.remove first 5 users and get array
singleItemTest(int) - Method in class org.recommender.test.GetPredictedRatingTest
singleItemTest() Get 1 item, compare predicted value with the one in DB
singleItemTest(int) - Method in class org.recommender.test.RemoveRatingTest
singleItemTest1() 1.
singleItemTest1(int) - Method in class org.recommender.test.GetPredictedRatingListTest
singleItemTest1() item array length is 1(randomly), compare predicted value with the one in DB
singleItemTest1(int) - Method in class org.recommender.test.AddRatingTest
singleItemTest1() Add a item (existed), check value in 2 ways 1.
singleItemTest2(int) - Method in class org.recommender.test.GetPredictedRatingListTest
singleItemTest2() item array length is 1 (existed), compare predicted value with the one in DB
singleItemTest2(int) - Method in class org.recommender.test.AddRatingTest
singleItemTest2() Add a item (randomly), check value in 2 ways 1.
singleUserTest(int) - Method in class org.recommender.test.GetItemArrayTest
singleUserTest() Get item array: 1.get array 2.rate 5 items and get array 3.remove first 5 itmes and get array
size() - Method in class org.recommender.server.Stats
Returns the number of numbers in the set.
size() - Method in class org.recommender.server.IntHashMap
Returns the number of elements contained in the hashtable.
size() - Method in class org.recommender.server.SynIntHashMap
 
sparcifyData(Iterator, int, int) - Method in class org.recommender.server.DataManager
 
startCdataSection(StartCdataSectionEvent) - Method in class org.recommender.algorithms.Experimental.ContinuousBayesNet
 
startCdataSection(StartCdataSectionEvent) - Method in class org.recommender.algorithms.Experimental.BayesNet
 
startDocument() - Method in class org.recommender.algorithms.Experimental.ContinuousBayesNet
 
startDocument() - Method in class org.recommender.algorithms.Experimental.BayesNet
 
startDocumentTypeDeclaration(StartDocumentTypeDeclarationEvent) - Method in class org.recommender.algorithms.Experimental.ContinuousBayesNet
 
startDocumentTypeDeclaration(StartDocumentTypeDeclarationEvent) - Method in class org.recommender.algorithms.Experimental.BayesNet
 
startElement(StartElementEvent) - Method in class org.recommender.algorithms.Experimental.ContinuousBayesNet
 
startElement(StartElementEvent) - Method in class org.recommender.algorithms.Experimental.BayesNet
 
startEntityReference(StartEntityReferenceEvent) - Method in class org.recommender.algorithms.Experimental.ContinuousBayesNet
 
startEntityReference(StartEntityReferenceEvent) - Method in class org.recommender.algorithms.Experimental.BayesNet
 
startSession() - Method in interface org.recommender.clients.console.ClientUI
 
Stats - class org.recommender.server.Stats.
Calculates Mean or Standard Deviation for a set of numbers.
Stats() - Constructor for class org.recommender.server.Stats
Default constructor.
SVD_Cosine - class org.recommender.algorithms.Experimental.SVD_Cosine.
Describes an implementation of the CFAlgorithm interface to make CF predictions using the SVD + Cosine correlation method.
SVD_Cosine(DataManager) - Constructor for class org.recommender.algorithms.Experimental.SVD_Cosine
Constructor, simply assigns DataManager.
SVD_CosineOperation() - Method in class org.recommender.algorithms.Experimental.SVD_Cosine
Compute the Cosine distance based on users' ratings on "features"
SVD_Pearson - class org.recommender.algorithms.Experimental.SVD_Pearson.
Describes an implementation of the CFAlgorithm interface to make CF predictions using the SVD + Pearson correlation method.
SVD_Pearson(DataManager) - Constructor for class org.recommender.algorithms.Experimental.SVD_Pearson
Constructor, simply assigns DataManager.
SVD_PearsonOperation() - Method in class org.recommender.algorithms.Experimental.SVD_Pearson
Compute the Pearson correlations based on users' ratings on "features"
SynIntHashMap - class org.recommender.server.SynIntHashMap.
Implement the synchronized IntHashMap.
SynIntHashMap(IntHashMap) - Constructor for class org.recommender.server.SynIntHashMap
 
SystemProperties - class org.recommender.server.SystemProperties.
SystemProperties loads, maintains, and provides accessors for all CFServer properties.
SystemProperties() - Constructor for class org.recommender.server.SystemProperties
 
SystemUtils - class org.recommender.server.SystemUtils.
This class contains mics utils - printDebug and notImplementedMsg.
SystemUtils() - Constructor for class org.recommender.server.SystemUtils
 

CFEngine API
A B C D E F G H I K L M N O P R S T U V W
Copyright © 2003 - Oregon State University www.orst.edu