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

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ParameterSet - class org.recommender.algorithms.ParameterSet.
A ParameterSet represents all parameters necessary to specify an algorithm.
ParameterSet() - Constructor for class org.recommender.algorithms.ParameterSet
 
params - Variable in class org.recommender.algorithms.SimpleParameterSet
Keep track of all parameters
parser - Variable in class org.recommender.algorithms.Experimental.ContinuousBayesNet
 
parser - Variable in class org.recommender.algorithms.Experimental.BayesNet
 
parseString(String, String) - Static method in class org.recommender.util.TypeDatabaseCreator
Given an entry for an type, parse it.
parseString(String, String) - Static method in class org.recommender.util.RatingDatabaseCreator
Given an entry for a rating, parse it.
parseString(String, String) - Static method in class org.recommender.util.UserDatabaseCreator
Given an entry for a user, parse it.
parseString(String, String) - Static method in class org.recommender.util.ItemTypeDatabaseCreator
Given an entry for a item-type pair, parse it.
parseString(String, String) - Static method in class org.recommender.util.ItemDatabaseCreator
Given an entry for an item, parse it.
PerformanceTest - class org.recommender.test.PerformanceTest.
Class to test the performance of the recommender engine
PerformanceTest() - Constructor for class org.recommender.test.PerformanceTest
Constructor - Initializes a connection to the cfengine, and spawns the necessary threads.
PersonalityAlgorithm - class org.recommender.algorithms.Experimental.PersonalityAlgorithm.
Describes an implementation of the CFAlgorithm interface to make CF predictions using the Personality Diagnosis algorithm described in Pennock et al, 1999.
PersonalityAlgorithm(DataManager) - Constructor for class org.recommender.algorithms.Experimental.PersonalityAlgorithm
Constructor, initialize algorithm parameters and DataManager.
PopAlgorithm - class org.recommender.algorithms.Experimental.PopAlgorithm.
Describes an implementation of the CFAlgorithm interface to make CF predictions using the non-personalized prediction algorithm described by Herlocker, et al 1999.
PopAlgorithm(DataManager) - Constructor for class org.recommender.algorithms.Experimental.PopAlgorithm
Constructor, simply assigns DataManager.
pos - Variable in class org.recommender.algorithms.RangeTokenizer
 
Prediction - class org.recommender.clients.console.Prediction.
Created by User: herlock Date: Apr 16, 2003 Time: 6:49:42 AM
Prediction(Item, float) - Constructor for class org.recommender.clients.console.Prediction
 
predictionStyle - Variable in class org.recommender.algorithms.Experimental.SimpleDistributionAlgorithm
 
predictRating(int, int) - Method in class org.recommender.algorithms.SimplePearsonAlgorithm
Predicts the rating for the given user and item.
predictRating(int, int) - Method in interface org.recommender.algorithms.CFAlgorithm
Asks the prediction engine to return a prediction for how a particular user will rate a particular item.
predictRating(int, int) - Method in class org.recommender.algorithms.Experimental.UserItem2Algorithm
predicts the rating for the given user and item
predictRating(int, int) - Method in class org.recommender.algorithms.Experimental.TransNeighborAlgorithm
predicts the rating for the given user and item.
predictRating(int, int) - Method in class org.recommender.algorithms.Experimental.SimpleSVD
Simply return the rating in the SVD-reduced matrix
predictRating(int, int) - Method in class org.recommender.algorithms.Experimental.SVD_Pearson
Predict ratings using nearest neighbor algorithm -- user correlations are based on the Pearson correlations between users' ratings on "features"
predictRating(int, int) - Method in class org.recommender.algorithms.Experimental.SVD_Cosine
Predict ratings using nearest neighbor algorithm -- user correlations are based on the Cosine distance between users' ratings on "features"
predictRating(int, int) - Method in class org.recommender.algorithms.Experimental.ContinuousBayesNetAlgorithm
predicts the rating for the given user and item.
predictRating(int, int) - Method in class org.recommender.algorithms.Experimental.BayesNetAlgorithm
predicts the rating for the given user and item.
predictRating(int, int) - Method in class org.recommender.algorithms.Experimental.VectorSimilarityAlgorithm
Predict rating for activeUser' item.
predictRating(int, int) - Method in class org.recommender.algorithms.Experimental.UserItemAlgorithm
Predicts the rating for the given user and item.
predictRating(int, int) - Method in class org.recommender.algorithms.Experimental.SimpleDistributionAlgorithm
Predicts the rating for the given user and item.
predictRating(int, int) - Method in class org.recommender.algorithms.Experimental.PopAlgorithm
Predicts the rating for the given user and item.
predictRating(int, int) - Method in class org.recommender.algorithms.Experimental.PersonalityAlgorithm
predicts the rating for the given user and item
predictRating(int, int) - Method in class org.recommender.algorithms.Experimental.ItemItemAlgorithm
predicts the rating for the given user and item
predictRating(int, int) - Method in class org.recommender.algorithms.Experimental.HortingAlgorithm
Get predicted rating for a user's item
predictRating(int, int) - Method in class org.recommender.algorithms.Experimental.DumbPopAlgorithm
 
predictRating(int, int) - Method in class org.recommender.algorithms.Experimental.ClusteringAlgorithm
Asks the prediction engine to return a prediction for how a particular user will rate a particular item.
predictTime - Variable in class org.recommender.algorithms.Experimental.HortingAlgorithm
 
print(String) - Static method in class org.recommender.clients.console.ClientTextUI
Simple methods to add a level of indirection to output Also reduces the numbers of characters to type.
printAllTables() - Method in class org.recommender.server.DataManager
Method to print contents of all tables.
printDebug(String) - Static method in class org.recommender.server.SystemUtils
Print out timestamp for debugging.
printIndent - Variable in class org.recommender.algorithms.Experimental.ContinuousDecisionTree
 
printPrompt(String) - Static method in class org.recommender.clients.console.Console
print a prompt on the console but don't print a newline
printRatingTable() - Method in class org.recommender.server.DataManager
Print ratingTable
printStackTrace() - Method in class org.recommender.server.CFInternalErrorException
 
probMissing - Variable in class org.recommender.algorithms.Experimental.BinGaussian
 
probs - Variable in class org.recommender.algorithms.Multinomial
 
probTable - Variable in class org.recommender.algorithms.Experimental.PersonalityAlgorithm
 
processingInstruction(ProcessingInstructionEvent) - Method in class org.recommender.algorithms.Experimental.ContinuousBayesNet
 
processingInstruction(ProcessingInstructionEvent) - Method in class org.recommender.algorithms.Experimental.BayesNet
 
put(int, Object) - Method in class org.recommender.server.IntHashMap
Puts the specified element into the hashtable, using the specified key.
put(int, Object) - Method in class org.recommender.server.SynIntHashMap
 
put(Object, Object) - Method in class org.recommender.server.IntHashMap
A put method that takes an Object, for compatibility with java.util.Dictionary.

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