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R

R - Variable in class jml.subspace.DimensionalityReduction
Reduced r x n data matrix.
r - Variable in class jml.subspace.DimensionalityReduction
Reduced dimensionality.
r_cent - Static variable in class jml.optimization.PrimalDualInteriorPoint
 
r_dual - Static variable in class jml.optimization.PrimalDualInteriorPoint
 
r_prim - Static variable in class jml.optimization.PrimalDualInteriorPoint
 
rand(int, int) - Static method in class jml.matlab.Matlab
Generate an nRow-by-nCol matrix containing pseudo-random values drawn from the standard uniform distribution on the open interval (0,1).
rand(int) - Static method in class jml.matlab.Matlab
Generate an n-by-n matrix containing pseudo-random values drawn from the standard uniform distribution on the open interval (0,1).
randn(int, int) - Static method in class jml.matlab.Matlab
Generate an nRow-by-nCol matrix containing pseudo-random values drawn from the standard normal distribution.
randn(int) - Static method in class jml.matlab.Matlab
Generate an n-by-n matrix containing pseudo-random values drawn from the standard normal distribution.
randperm(int) - Static method in class jml.matlab.Matlab
Random permutation.
rank(RealMatrix) - Static method in class jml.matlab.Matlab
The rank function provides an estimate of the number of linearly independent rows or columns of a full matrix.
rank(RealMatrix, double) - Static method in class jml.matlab.Matlab
The rank function provides an estimate of the number of linearly independent rows or columns of a full matrix.
RatioCut - Class in jml.graph.cut
 
RatioCut(int) - Constructor for class jml.graph.cut.RatioCut
 
rdivide(double, RealMatrix) - Static method in class jml.matlab.Matlab
Right array division.
rdivide(RealMatrix, double) - Static method in class jml.matlab.Matlab
Right array division.
rdivide(RealMatrix, RealMatrix) - Static method in class jml.matlab.Matlab
Right array division.
readCorpus(ArrayList<TreeMap<Integer, Integer>>) - Method in class jml.topics.LDA
Load corpus and documents from a ArrayList<TreeMap<Integer, Integer>> instance.
readCorpus(String) - Method in class jml.topics.LDA
Load corpus and documents from a LDAInput file.
readCorpus(int[][]) - Method in class jml.topics.LDA
Feed documents from a 2D integer array.
readCorpus(RealMatrix) - Method in class jml.topics.LDA
Load corpus and documents from a RealMatrix instance.
readCorpus(RealMatrix) - Method in class jml.topics.TopicModel
Read corpus from a V-by-N document-term-count matrix for this topic model.
readCorpusFromDocTermCountArray(ArrayList<TreeMap<Integer, Integer>>) - Method in class jml.topics.Corpus
Load corpus and documents from a ArrayList<TreeMap<Integer, Integer>> instance.
readCorpusFromDocTermCountArray(ArrayList<TreeMap<Integer, Integer>>) - Method in class jml.topics.LdaGibbsSampler
Load corpus and documents from a ArrayList<TreeMap<Integer, Integer>> instance.
readCorpusFromDocTermCountFile(String) - Method in class jml.topics.Corpus
Load corpus and documents from a text file located at String docTermCountFilePath.
readCorpusFromDocTermCountFile(String) - Method in class jml.topics.LDA
Load corpus and documents from a text file located at String docTermCountFilePath.
readCorpusFromDocTermCountFile(String) - Method in class jml.topics.LdaGibbsSampler
Load corpus and documents from a text file located at String docTermCountFilePath.
readCorpusFromLDAInputFile(String) - Method in class jml.topics.Corpus
Load corpus and documents from a LDAInput file.
readCorpusFromLDAInputFile(String) - Method in class jml.topics.LdaGibbsSampler
Load corpus and documents from a LDAInput file.
readCorpusFromMatrix(RealMatrix) - Method in class jml.topics.Corpus
Load corpus and documents from a RealMatrix instance.
readCorpusFromMatrix(RealMatrix) - Method in class jml.topics.LdaGibbsSampler
Load corpus and documents from a RealMatrix instance.
readProblem(String) - Static method in class jml.classification.MultiClassSVM
Read a problem from a file with the LIBSVM data format.
readProblemFromFile(File, double) - Static method in class jml.classification.MultiClassSVM
Data format (index starts from 1):

readProblemFromStringArray(ArrayList<String>) - Static method in class jml.classification.MultiClassSVM
Read a problem from a string array with default bias feature (1.0).
readProblemFromStringArray(ArrayList<String>, double) - Static method in class jml.classification.MultiClassSVM
Read a problem from a string array.
reconstructProjectionMatrix() - Method in class jml.classification.MultiClassSVM
 
Regression - Class in jml.regression
Abstract super class for all regression methods.
Regression() - Constructor for class jml.regression.Regression
 
Regression(double) - Constructor for class jml.regression.Regression
 
Regression(int, double) - Constructor for class jml.regression.Regression
 
Regression(Options) - Constructor for class jml.regression.Regression
 
repmat(RealMatrix, int, int) - Static method in class jml.matlab.Matlab
Replicate and tile an array.
repmat(RealMatrix, int[]) - Static method in class jml.matlab.Matlab
Replicate and tile an array.
reshape(RealMatrix, int, int) - Static method in class jml.matlab.Matlab
Reshape a matrix to a new shape specified number of rows and columns.
reshape(RealMatrix, int[]) - Static method in class jml.matlab.Matlab
Reshape a matrix to a new shape specified by a two dimensional integer array.
reshape(RealVector, int, int) - Static method in class jml.matlab.Matlab
Reshape a vector to a new shape specified number of rows and columns.
reshape(RealVector, int[]) - Static method in class jml.matlab.Matlab
Reshape a vector to a matrix with a shape specified by a two dimensional integer array.
residual - Static variable in class jml.optimization.PrimalDualInteriorPoint
 
RobustPCA - Class in jml.recovery
A Java implementation of robust PCA which solves the following convex optimization problem:
min ||A||_* + lambda ||E||_1
s.t.
RobustPCA(double) - Constructor for class jml.recovery.RobustPCA
Constructor for Robust PCA.
robustPCA(RealMatrix, double) - Method in class jml.recovery.RobustPCA
Compute robust PCA for an observation matrix which solves the following convex optimization problem:
min ||A||_* + lambda ||E||_1
s.t.
rou - Static variable in class jml.optimization.NonlinearConjugateGradient
 
rou_k - Static variable in class jml.optimization.BoundConstrainedPLBFGS
 
rou_k - Static variable in class jml.optimization.LBFGS
 
rou_k - Static variable in class jml.optimization.LBFGSOnSimplex
 
rou_k - Static variable in class jml.optimization.NonnegativePLBFGS
 
rou_ks - Static variable in class jml.optimization.BoundConstrainedPLBFGS
 
rou_ks - Static variable in class jml.optimization.LBFGS
 
rou_ks - Static variable in class jml.optimization.LBFGSOnSimplex
 
rou_ks - Static variable in class jml.optimization.NonnegativePLBFGS
 
round(RealMatrix) - Static method in class jml.matlab.Matlab
Round elements of a matrix A towards nearest integer.
rows - Variable in class jml.matlab.utils.FindResult
 
run(String[]) - Static method in class jml.classification.LogisticRegressionMCLBFGS
Run this module with arguments in a String array.
run(String[]) - Static method in class jml.classification.LogisticRegressionMCNonlinearConjugateGradient
Run this module with arguments in a String array.
run(String[]) - Static method in class jml.classification.MultiClassSVM
Run this module with arguments in a String array.
run() - Method in class jml.feature.selection.FeatureSelection
Do feature selection.
run() - Method in class jml.feature.selection.JointL21NormsMinimization
 
run() - Method in class jml.feature.selection.SupervisedFeatureSelection
 
run() - Method in class jml.feature.selection.UnsupervisedFeatureSelection
 
run(String[]) - Static method in class jml.JML
Run JML package based on arguments in a String array.
run(RealMatrix, double, double, RealMatrix) - Static method in class jml.optimization.AcceleratedGradientDescent
Main entry for the accelerated gradient descent algorithm.
run(RealMatrix, double, double, double, RealMatrix) - Static method in class jml.optimization.AcceleratedProximalGradient
Main entry for the accelerated proximal gradient algorithm.
run(RealMatrix, double, double, double, double, RealMatrix) - Static method in class jml.optimization.BoundConstrainedPLBFGS
Main entry for the LBFGS algorithm with bound constraints.
run(RealMatrix, double, RealMatrix, RealMatrix, double, RealMatrix) - Static method in class jml.optimization.BoundConstrainedPLBFGS
Main entry for the LBFGS algorithm with bound constraints.
run(RealMatrix, double, double, RealMatrix) - Static method in class jml.optimization.LBFGS
Main entry for the LBFGS algorithm.
run(RealMatrix, double, double, RealMatrix) - Static method in class jml.optimization.LBFGSOnSimplex
Main entry for the LBFGS algorithm.
run(RealMatrix, double, double, RealMatrix) - Static method in class jml.optimization.NonlinearConjugateGradient
Main entry for the algorithm.
run(RealMatrix, double, double, RealMatrix) - Static method in class jml.optimization.NonnegativePLBFGS
Main entry for the LBFGS algorithm.
run(RealMatrix, RealMatrix, RealMatrix, RealMatrix, RealMatrix, RealMatrix, double, RealMatrix) - Static method in class jml.optimization.PrimalDualInteriorPoint
Run this optimization algorithm.
run(RealMatrix, RealMatrix, RealMatrix, RealMatrix, RealMatrix, RealMatrix, double, RealMatrix, RealMatrix, RealMatrix) - Static method in class jml.optimization.PrimalDualInteriorPoint
Run this optimization algorithm.
run() - Method in class jml.recovery.MatrixCompletion
Run matrix completion.
run() - Method in class jml.recovery.RobustPCA
Run robust PCA.
run() - Method in class jml.subspace.DimensionalityReduction
Do dimensionality reduction.
run() - Method in class jml.subspace.Isomap
 
run(RealMatrix, int, int) - Static method in class jml.subspace.Isomap
Isomap (isometric feature mapping).
run() - Method in class jml.subspace.KernelPCA
 
run(RealMatrix, int) - Static method in class jml.subspace.KernelPCA
Kernel PCA.
run() - Method in class jml.subspace.LaplacianEigenmaps
 
run() - Method in class jml.subspace.LLE
 
run(RealMatrix, int, int) - Static method in class jml.subspace.LLE
LLE (Locally Linear Embedding).
run() - Method in class jml.subspace.MDS
 
run(RealMatrix, int) - Static method in class jml.subspace.MDS
Dimensionality reduction by MDS.
run() - Method in class jml.subspace.PCA
 
run(RealMatrix, int) - Static method in class jml.subspace.PCA
PCA.
run() - Method in class jml.topics.LdaGibbsSampler
 
run(LDAOptions) - Method in class jml.topics.LdaGibbsSampler
 
run(Corpus, LDAOptions) - Static method in class jml.topics.LdaGibbsSampler
 
runKMeans() - Static method in class jml.clustering.KMeans
 
runNMF() - Static method in class jml.clustering.NMF
 

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