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## P

parseCommandLine(String[]) - Static method in class prea.main.Prea
  Parse the command from user.
partInnerProduct(DenseVector, int[]) - Method in class prea.data.structure.DenseVector
  Inner-product for indices only in the given indices.
partInnerProduct(SparseVector, int[]) - Method in class prea.data.structure.SparseVector
  Inner-product for indices only in the given indices.
partInverse(int[]) - Method in class prea.data.structure.DenseMatrix
  Inverse of matrix only with indices in indexList.
partInverse(int[]) - Method in class prea.data.structure.SparseMatrix
  Inverse of matrix only with indices in indexList.
partition(int[], int, int, boolean) - Static method in class prea.util.Sort
  Partition the given array into two section: smaller and larger than threshold.
partition(double[], int[], int, int, boolean) - Static method in class prea.util.Sort
  Partition the given array into two section: smaller and larger than threshold.
partition(int[], int[], int, int, boolean) - Static method in class prea.util.Sort
  Partition the given array into two section: smaller and larger than threshold.
partition(int[], double[], int, int, boolean) - Static method in class prea.util.Sort
  Partition the given array into two section: smaller and larger than threshold.
partMinus(DenseMatrix, int[]) - Method in class prea.data.structure.DenseMatrix
  Matrix subtraction (A = A - B) only with indices in indexList.
partMinus(DenseVector, int[]) - Method in class prea.data.structure.DenseVector
  Vector subtraction (a - b) for indices only in the given indices.
partMinus(SparseMatrix, int[]) - Method in class prea.data.structure.SparseMatrix
  Matrix subtraction (A = A - B) only with indices in indexList.
partMinus(SparseVector, int[]) - Method in class prea.data.structure.SparseVector
  Vector subtraction (a - b) for indices only in the given indices.
partOuterProduct(DenseVector, int[]) - Method in class prea.data.structure.DenseVector
  Outer-product for indices only in the given indices.
partOuterProduct(SparseVector, int[]) - Method in class prea.data.structure.SparseVector
  Outer-product for indices only in the given indices.
partPlus(DenseMatrix, int[]) - Method in class prea.data.structure.DenseMatrix
  Matrix summation (A = A + B) only with indices in indexList.
partPlus(DenseVector, int[]) - Method in class prea.data.structure.DenseVector
  Vector sum (a + b) for indices only in the given indices.
partPlus(SparseMatrix, int[]) - Method in class prea.data.structure.SparseMatrix
  Matrix summation (A = A + B) only with indices in indexList.
partPlus(SparseVector, int[]) - Method in class prea.data.structure.SparseVector
  Vector sum (a + b) for indices only in the given indices.
partScale(double, int[]) - Method in class prea.data.structure.DenseMatrix
  Scalar Multiplication only with indices in indexList.
partScale(double, int[]) - Method in class prea.data.structure.SparseMatrix
  Scalar Multiplication only with indices in indexList.
partTimes(DenseVector, int[]) - Method in class prea.data.structure.DenseMatrix
  Matrix-vector product (b = Ax) only with indices in indexList.
partTimes(SparseVector, int[]) - Method in class prea.data.structure.SparseMatrix
  Matrix-vector product (b = Ax) only with indices in indexList.
PEARSON_CORR - Static variable in class prea.main.Splitter
  Similarity measure code for Pearson Correlation.
PEARSON_CORR - Static variable in class prea.recommender.memory.MemoryBasedRecommender
  Similarity Measure Code for Pearson Correlation
plus(DenseMatrix) - Method in class prea.data.structure.DenseMatrix
  Matrix-matrix sum (C = A + B)
plus(DenseVector) - Method in class prea.data.structure.DenseVector
  Vector sum (a + b)
plus(SparseMatrix) - Method in class prea.data.structure.SparseMatrix
  Matrix-matrix sum (C = A + B)
plus(SparseVector) - Method in class prea.data.structure.SparseVector
  Vector sum (a + b)
PMF - Class in prea.recommender.matrix
  This is a class implementing Probabilistic Matrix Factorization.
PMF(int, int, double, double, int, double, double, double, int, boolean) - Constructor for class prea.recommender.matrix.PMF
  Construct a matrix-factorization model with the given data.
power(double) - Method in class prea.data.structure.DenseVector
  Scalar power operator.
power(double) - Method in class prea.data.structure.SparseVector
  Scalar power operator.
prbMatricesIndTrain - Variable in class prea.recommender.etc.RankBased
  Parsed index for each user, 2d array with m testing users by the number of rated items.
prbMatricesVal - Variable in class prea.recommender.etc.RankBased
  Parsed prb for each user, 3d array with l rating levels by m testing users by the number of rated items.
Prea - Class in prea.main
  The main class of this toolkit.
Prea() - Constructor for class prea.main.Prea
prea.data.splitter - package prea.data.splitter
prea.data.structure - package prea.data.structure
prea.main - package prea.main
prea.recommender - package prea.recommender
prea.recommender.baseline - package prea.recommender.baseline
prea.recommender.etc - package prea.recommender.etc
prea.recommender.matrix - package prea.recommender.matrix
prea.recommender.memory - package prea.recommender.memory
prea.util - package prea.util
PREDEFINED_SPLIT - Static variable in class prea.data.splitter.DataSplitManager
  Use predefined split file.
PredefinedSplit - Class in prea.data.splitter
  When a predefined split file is available, this class helps to split train/test set as defined in the file.
PredefinedSplit(SparseMatrix, String, int, int) - Constructor for class prea.data.splitter.PredefinedSplit
  Construct an instance for splitter with predefined split file.
predict(int, int) - Method in class prea.recommender.baseline.Average
  Predict a rating for the given user and item.
predict(int, int) - Method in class prea.recommender.baseline.BaselineRecommender
  Predict a rating for the given user and item.
predict(int, int) - Method in class prea.recommender.baseline.Constant
  Predict a rating for the given user and item.
predict(int, int) - Method in class prea.recommender.baseline.ItemAverage
  Predict a rating for the given user and item.
predict(int, int) - Method in class prea.recommender.baseline.Random
  Predict a rating for the given user and item.
predict(int, int) - Method in class prea.recommender.baseline.UserAverage
  Predict a rating for the given user and item.
predict(int, int) - Method in class prea.recommender.etc.RankBased
  Compute the rating for a given user and a test item, which minimizes the given loss.
predict(int, int[], int, SparseMatrix) - Method in class prea.recommender.memory.ItemBased
  Predict ratings for a given user regarding given set of items, by user-based CF algorithm.
predict(int, int[], int, double[]) - Method in class prea.recommender.memory.UserBased
  Predict ratings for a given user regarding given set of items, by user-based CF algorithm.
predicted - Variable in class prea.util.EvaluationMetrics
  Predicted ratings by CF algorithms for test items.
predictedArray - Variable in class prea.recommender.etc.RankBased
  The probability array of each rating for testing items and users.
preferProbability(double, double) - Static method in class prea.util.Distance
  Return the probability of the item i is preferred to the item j.
preservedRateMatrix - Variable in class prea.recommender.UnitTest
preservedTestMatrix - Variable in class prea.recommender.UnitTest
printArray(double[]) - Static method in class prea.util.Printer
  Print each element in a double array.
printArray(int[]) - Static method in class prea.util.Printer
  Print each element in an integer array
printArray(double[][]) - Static method in class prea.util.Printer
  Print each element in a 2-D double matrix.
printArray(double[][][]) - Static method in class prea.util.Printer
  Print each element in a 3-D double matrix.
Printer - Class in prea.util
  This is a class containing printing functions in human-readable format from various kinds of data.
Printer() - Constructor for class prea.util.Printer
printMultiLine() - Method in class prea.util.EvaluationMetrics
printOneLine() - Method in class prea.util.EvaluationMetrics
printTime(long) - Static method in class prea.util.Printer
  Convert time in milliseconds to human-readable format.
printTitle() - Static method in class prea.util.EvaluationMetrics
put(Key, Val) - Method in class prea.data.structure.DataMap
  Set a data value with the given key.

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