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P

p - Static variable in class jml.optimization.BoundConstrainedPLBFGS
Decreasing step.
p - Static variable in class jml.optimization.LBFGS
Decreasing step.
p - Static variable in class jml.optimization.NonlinearConjugateGradient
Decreasing step.
p - Static variable in class jml.optimization.NonnegativePLBFGS
Decreasing step.
p - Static variable in class jml.optimization.PrimalDualInteriorPoint
Number of equality constraints
p - Variable in class jml.regression.Regression
Number of independent variables.
p_z - Static variable in class jml.optimization.LBFGSOnSimplex
 
Pair<A,B> - Class in jml.matlab.utils
 
Pair(A, B) - Constructor for class jml.matlab.utils.Pair
 
parameter - Variable in class jml.classification.MultiClassSVM
A Parameter instance for linear multi-class SVM.
pause(double) - Static method in class jml.utils.Time
PAUSE(n) pauses for n seconds before continuing, where n can also be a fraction.
PCA - Class in jml.subspace
Principal Component Analysis (PCA).
PCA(int) - Constructor for class jml.subspace.PCA
Constructor.
Perceptron - Class in jml.online.classification
Java implementation of the online binary classification algorithm Perceptron.
Perceptron() - Constructor for class jml.online.classification.Perceptron
 
PG - Static variable in class jml.optimization.BoundConstrainedPLBFGS
Current projected gradient.
PG - Static variable in class jml.optimization.NonnegativePLBFGS
Current projected gradient.
PG_z - Static variable in class jml.optimization.LBFGSOnSimplex
 
phaseI(RealMatrix, RealMatrix, RealMatrix, RealMatrix) - Static method in class jml.optimization.GeneralQP
We demonstrate the implementation of phase I via primal-dual interior point method to test whether the following problem is feasible:
phaseII(RealMatrix, RealMatrix, RealMatrix, RealMatrix, RealMatrix, RealMatrix, RealMatrix) - Static method in class jml.optimization.GeneralQP
Phase II for solving a general quadratic programming problem formulated as
phaseII(RealMatrix, RealMatrix, RealMatrix, RealMatrix, RealMatrix, RealMatrix, RealMatrix) - Static method in class jml.optimization.GeneralQPViaPrimalDualInteriorPoint
 
PhaseIResult - Class in jml.optimization
 
PhaseIResult(RealMatrix, double) - Constructor for class jml.optimization.PhaseIResult
 
PhaseIResult(boolean, RealMatrix, double) - Constructor for class jml.optimization.PhaseIResult
 
phisum - Variable in class jml.topics.LdaGibbsSampler
cumulative statistics of phi
pi - Variable in class jml.sequence.HMM
Initial state distribution.
pi - Variable in class jml.sequence.HMMModel
Initial state distribution.
plus(RealMatrix, RealMatrix) - Static method in class jml.matlab.Matlab
Array addition between two matrices.
plus(RealMatrix, double) - Static method in class jml.matlab.Matlab
Array addition between a matrix and a scalar.
plus(double, RealMatrix) - Static method in class jml.matlab.Matlab
Array addition between a scalar and a matrix.
plus(double, double) - Static method in class jml.matlab.Matlab
Addition between two scalars a and b.
plusAssign(double[], double) - Static method in class jml.operation.ArrayOperation
Element-wise addition and assignment operation.
plusAssign(double[], double[]) - Static method in class jml.operation.ArrayOperation
Element-wise addition and assignment operation.
plusAssign(double[], double[]) - Method in class jml.sequence.HMM
Element-wise addition and assignment operation.
power(RealMatrix, double) - Static method in class jml.matlab.Matlab
Compute element-wise exponentiation of a matrix.
power(double, RealMatrix) - Static method in class jml.matlab.Matlab
Compute element-wise exponentiation of a matrix.
power(RealMatrix, RealMatrix) - Static method in class jml.matlab.Matlab
Array power.
Power - Class in jml.matlab.utils
 
Power(double) - Constructor for class jml.matlab.utils.Power
 
predict(RealMatrix) - Method in class jml.classification.Classifier
Predict the labels for the test data formated as an original data matrix.
predict(double[][]) - Method in class jml.classification.Classifier
Predict the labels for the test data formated as an original 2D double array.
predict(double[][][]) - Method in class jml.classification.MaxEnt
Predict labels for the test data formated as a 3D double array.
predict(RealMatrix[]) - Method in class jml.classification.MaxEnt
Predict labels for the test data formated as a 1D RealMatrix array.
predict(Feature[][]) - Method in class jml.classification.MultiClassSVM
Predict labels for the test data formated as a feature 2D array.
predict(RealMatrix) - Method in class jml.online.classification.OnlineBinaryClassifier
 
predict(double[]) - Method in class jml.online.classification.OnlineBinaryClassifier
 
predict(RealMatrix) - Method in class jml.online.classification.Perceptron
 
predict(double[]) - Method in class jml.online.classification.Perceptron
 
predict(RealMatrix) - Method in class jml.online.classification.Winnow
 
predict(RealMatrix) - Method in class jml.regression.Regression
Predict the dependent variables for test data Xt.
predict(double[][]) - Method in class jml.regression.Regression
Predict the dependent variables for test data Xt.
predict(RealMatrix[][]) - Method in class jml.sequence.CRF
Predict the single best label sequence given the features for an observation sequence by Viterbi algorithm.
predict(int[]) - Method in class jml.sequence.HMM
Predict the best single state path for a given observation sequence using Viterbi algorithm with logarithms.
predict2(Model, Feature[][], int[]) - Static method in class jml.classification.MultiClassSVM
Deprecated. 
predict2(Feature[][], int[]) - Method in class jml.classification.MultiClassSVM
Deprecated. 
predict2(RealMatrix) - Method in class jml.classification.MultiClassSVM
Deprecated. 
predict2(RealMatrix, int[]) - Method in class jml.classification.MultiClassSVM
Deprecated. 
predict2(RealMatrix[][]) - Method in class jml.sequence.CRF
Predict the single best label sequence given the features for an observation sequence by Viterbi algorithm without normalization.
predict2(int[]) - Method in class jml.sequence.HMM
Predict the best single state path for a given observation sequence using Viterbi algorithm.
predictLabelMatrix(RealMatrix) - Method in class jml.classification.AdaBoost
 
predictLabelMatrix(RealMatrix) - Method in class jml.classification.Classifier
Predict the label matrix given test data formated as an original data matrix.
predictLabelMatrix(double[][]) - Method in class jml.classification.Classifier
Predict the label matrix given test data formated as an original 2D double array.
predictLabelMatrix(RealMatrix[]) - Method in class jml.classification.MaxEnt
Predict the label matrix given test data formated as a 1D RealMatrix array.
predictLabelMatrix(double[][][]) - Method in class jml.classification.MaxEnt
Predict the label matrix given test data formated as a 3D double array.
predictLabelScoreMatrix(RealMatrix) - Method in class jml.classification.AdaBoost
 
predictLabelScoreMatrix(RealMatrix) - Method in class jml.classification.Classifier
Predict the label score matrix given test data formated as an original data matrix.
predictLabelScoreMatrix(double[][]) - Method in class jml.classification.Classifier
Predict the label score matrix given test data formated as an original data matrix.
predictLabelScoreMatrix(RealMatrix) - Method in class jml.classification.LogisticRegressionMCBoundConstrainedPLBFGS
 
predictLabelScoreMatrix(RealMatrix) - Method in class jml.classification.LogisticRegressionMCGradientDescent
 
predictLabelScoreMatrix(RealMatrix) - Method in class jml.classification.LogisticRegressionMCLBFGS
 
predictLabelScoreMatrix(RealMatrix) - Method in class jml.classification.LogisticRegressionMCLBFGS_Ori
 
predictLabelScoreMatrix(RealMatrix) - Method in class jml.classification.LogisticRegressionMCNonlinearConjugateGradient
 
predictLabelScoreMatrix(RealMatrix) - Method in class jml.classification.LogisticRegressionMCNonnegativePLBFGS
 
predictLabelScoreMatrix(RealMatrix) - Method in class jml.classification.MaxEnt
 
predictLabelScoreMatrix(RealMatrix[]) - Method in class jml.classification.MaxEnt
Predict the label score matrix given test data formated as a RealMatrix array.
predictLabelScoreMatrix(double[][][]) - Method in class jml.classification.MaxEnt
Predict the label score matrix given test data formated as a 3D double array.
predictLabelScoreMatrix(RealMatrix) - Method in class jml.classification.MultiClassSVM
Predict label matrix for column vectors of an original data matrix.
PrimalDualInteriorPoint - Class in jml.optimization
A Java implementation for the Primal-dual Interior-point method.
PrimalDualInteriorPoint() - Constructor for class jml.optimization.PrimalDualInteriorPoint
 
printMatrix(RealMatrix) - Static method in class jml.matlab.Matlab
Print a matrix.
printMatrix(RealMatrix, int) - Static method in class jml.matlab.Matlab
Print a matrix with a specified precision.
printSparseMatrix(RealMatrix) - Static method in class jml.matlab.Matlab
Print a sparse matrix.
printVector(RealVector) - Static method in class jml.matlab.Matlab
Print a vector.
printVector(RealVector, int) - Static method in class jml.matlab.Matlab
Print a vector with a specified precision.
problem - Variable in class jml.classification.MultiClassSVM
A Problem object for this MCSVM classifier.
project(RealMatrix, double, double) - Static method in class jml.optimization.BoundConstrainedPLBFGS
Projection on a box region [l, u].
project(RealMatrix, RealMatrix, RealMatrix) - Static method in class jml.optimization.BoundConstrainedPLBFGS
Projection on a box region [L_{ij}, U_{ij}] for each element.
Projection - Interface in jml.optimization
 
ProjL1 - Class in jml.optimization
Compute proj_tC(X) where C = {X: || X ||_1 <= 1}.
ProjL1() - Constructor for class jml.optimization.ProjL1
 
ProjL2 - Class in jml.optimization
Compute proj_tC(X) where C = {X: || X ||_2 <= 1}.
ProjL2() - Constructor for class jml.optimization.ProjL2
 
ProjLInfinity - Class in jml.optimization
Compute proj_tC(X) where C = {X: || X ||_{\infty} <= 1}.
ProjLInfinity() - Constructor for class jml.optimization.ProjLInfinity
 
prox - Static variable in class jml.optimization.AcceleratedGradientDescent
 
prox - Static variable in class jml.optimization.AcceleratedProximalGradient
Proximity operator: prox_th(X).
Prox - Class in jml.optimization
Compute prox_th(X) where h = 0.
Prox() - Constructor for class jml.optimization.Prox
 
ProximalMapping - Interface in jml.optimization
 
ProxL1 - Class in jml.optimization
Compute prox_th(X) where h = || X ||_1.
ProxL1() - Constructor for class jml.optimization.ProxL1
 
ProxL2 - Class in jml.optimization
Compute prox_th(X) where h = || X ||_F.
ProxL2() - Constructor for class jml.optimization.ProxL2
 
ProxLInfinity - Class in jml.optimization
Compute prox_th(X) where h = || X ||_{\infty}.
ProxLInfinity() - Constructor for class jml.optimization.ProxLInfinity
 
ProxPlus - Class in jml.optimization
Compute prox_th(X) where h = I_+(X).
ProxPlus() - Constructor for class jml.optimization.ProxPlus
 
pseudoInverse - Variable in class jml.matlab.utils.SingularValueDecompositionImpl.Solver
Pseudo-inverse of the initial matrix.

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