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C

C - Variable in class jml.classification.MultiClassSVM
Parameter for loss term of linear multi-class SVM.
cachedS - Variable in class jml.matlab.utils.SingularValueDecompositionImpl
 
cachedU - Variable in class jml.matlab.utils.SingularValueDecompositionImpl
 
cachedUt - Variable in class jml.matlab.utils.SingularValueDecompositionImpl
 
cachedV - Variable in class jml.matlab.utils.SingularValueDecompositionImpl
 
cachedVt - Variable in class jml.matlab.utils.SingularValueDecompositionImpl
 
calc_OV - Variable in class jml.clustering.L1NMF
 
calc_OV - Variable in class jml.options.L1NMFOptions
 
calc_OV - Variable in class jml.options.NMFOptions
 
calc_OV - Variable in class jml.options.Options
 
calc_OV - Variable in class jml.regression.LASSO
If compute objective function values during the iterations or not.
calcKernel(String, double, RealMatrix) - Static method in class jml.kernel.Kernel
Computes Gram matrix of a specified kernel.
calcKernel(String, double, RealMatrix, RealMatrix) - Static method in class jml.kernel.Kernel
Computes Gram matrix of a specified kernel.
calcLLR(RealMatrix, double, String, String, double, double) - Static method in class jml.manifold.Manifold
Compute local learning regularization matrix.
calcNumClass(int[]) - Static method in class jml.classification.Classifier
Infer the number of classes from a given label sequence.
cat(int, RealMatrix...) - Static method in class jml.matlab.Matlab
Concatenate matrices along specified dimension.
ceil(RealMatrix) - Static method in class jml.matlab.Matlab
Round elements of a matrix A towards plus infinity.
centers - Variable in class jml.clustering.Clustering
Cluster matrix (nFeature x nClus), column i is the projector for class i.
classEdges - Variable in class jml.options.GraphOptions
 
Classifier - Class in jml.classification
Abstract super class for all classifier subclasses.
Classifier() - Constructor for class jml.classification.Classifier
Default constructor for a classifier.
Classifier(Options) - Constructor for class jml.classification.Classifier
Constructor for a classifier initialized with options wrapped in a Options object.
clearCorpus() - Method in class jml.topics.Corpus
Clear corpus for class Corpus.
clearDocTermCountArray() - Method in class jml.topics.Corpus
Clear docTermCountArray.
clearMatrix(double[][]) - Static method in class jml.operation.ArrayOperation
Clear all elements of a 2D double array to zero.
clearMatrix(double[][]) - Method in class jml.sequence.HMM
Clear all elements of a 2D double array to zero.
clearVector(double[]) - Static method in class jml.operation.ArrayOperation
Clear all elements of a 1D double array to zero.
clearVector(double[]) - Method in class jml.sequence.HMM
Clear all elements of a 1D double array to zero.
Clustering - Class in jml.clustering
Abstract class for clustering algorithms.
Clustering() - Constructor for class jml.clustering.Clustering
Default constructor for this clustering algorithm.
Clustering(ClusteringOptions) - Constructor for class jml.clustering.Clustering
Constructor for this clustering algorithm initialized with options wrapped in a ClusteringOptions object.
Clustering(int) - Constructor for class jml.clustering.Clustering
Constructor for this clustering algorithm given number of clusters to be set.
clustering() - Method in class jml.clustering.Clustering
Do clustering.
clustering(RealMatrix) - Method in class jml.clustering.Clustering
Do clustering with a specified initializer.
clustering() - Method in class jml.clustering.KMeans
Initializer needs not be explicitly specified.
clustering() - Method in class jml.clustering.L1NMF
 
clustering(RealMatrix) - Method in class jml.clustering.L1NMF
 
clustering() - Method in class jml.clustering.LLNMF
 
clustering() - Method in class jml.clustering.MRNMF
 
clustering() - Method in class jml.clustering.SpectralClustering
 
ClusteringOptions - Class in jml.options
 
ClusteringOptions() - Constructor for class jml.options.ClusteringOptions
 
ClusteringOptions(int) - Constructor for class jml.options.ClusteringOptions
 
ClusteringOptions(int, boolean, int) - Constructor for class jml.options.ClusteringOptions
 
ClusteringOptions(ClusteringOptions) - Constructor for class jml.options.ClusteringOptions
 
colon(double, double, double) - Static method in class jml.matlab.Matlab
Generates a linearly spaced vector with distance of D between two consecutive numbers.
colon(double, double) - Static method in class jml.matlab.Matlab
Same as colon(begin, 1, end).
colon(int, int, int) - Static method in class jml.matlab.Matlab
Generates a linearly spaced integer array with distance of D between two consecutive numbers.
colon(int, int) - Static method in class jml.matlab.Matlab
Same as colon(begin, 1, end).
cols - Variable in class jml.matlab.utils.FindResult
 
compare(Integer, Integer) - Method in class jml.utils.Utility.ArrayIndexComparator
 
compare(K, K) - Method in class jml.utils.Utility.keyAscendComparator
 
compare(K, K) - Method in class jml.utils.Utility.keyDescendComparator
 
compute(double, RealMatrix) - Method in interface jml.optimization.Projection
 
compute(double, RealMatrix) - Method in class jml.optimization.ProjL1
Compute proj_{tC}(X) where C = {X: || X ||_1 <= 1}.
compute(double, RealMatrix) - Method in class jml.optimization.ProjL2
Compute proj_{tC}(X) where C = {X: || X ||_2 <= 1}.
compute(double, RealMatrix) - Method in class jml.optimization.ProjLInfinity
Compute proj_{tC}(X) where C = {X: || X ||_{\infty} <= 1}.
compute(double, RealMatrix) - Method in class jml.optimization.Prox
Compute prox_th(X) where h = 0.
compute(double, RealMatrix) - Method in interface jml.optimization.ProximalMapping
 
compute(double, RealMatrix) - Method in class jml.optimization.ProxL1
Compute prox_th(X) where h = || X ||_1.
compute(double, RealMatrix) - Method in class jml.optimization.ProxL2
Compute prox_th(X) where h = || X ||_F.
compute(double, RealMatrix) - Method in class jml.optimization.ProxLInfinity
Compute prox_th(X) where h = || X ||_{\infty}.
compute(double, RealMatrix) - Method in class jml.optimization.ProxPlus
Compute prox_th(X) where h = I_+(X).
computeFeatureVector(RealMatrix[][], int[]) - Method in class jml.sequence.CRF
Compute global feature vector for a data sequences Fs with label Ys.
computeObjectiveFunctionValue(boolean, RealMatrix, RealMatrix) - Method in class jml.sequence.CRF
Compute the objective function value (the mean log-likelihood on training data for CRFs).
computeTransitionMatrix(RealMatrix[][]) - Method in class jml.sequence.CRF
Compute transition matrix set, i.e., {M^{\bf x}_i}, i = 1, 2, ..., n_x
configure(int, int, int, int) - Method in class jml.topics.LdaGibbsSampler
Configure the gibbs sampler
configure(LDAOptions) - Method in class jml.topics.LdaGibbsSampler
 
constructProblem(List<Integer>, List<Feature[]>, int, double) - Static method in class jml.classification.MultiClassSVM
 
converge - Static variable in class jml.optimization.AcceleratedProximalGradient
If the algorithm converges or not.
converge - Static variable in class jml.optimization.BoundConstrainedPLBFGS
If the algorithm converges or not.
converge - Static variable in class jml.optimization.LBFGS
If the algorithm converges or not.
converge - Static variable in class jml.optimization.LBFGSOnSimplex
If the algorithm converges or not.
converge - Static variable in class jml.optimization.NonlinearConjugateGradient
If the algorithm converges or not.
converge - Static variable in class jml.optimization.NonnegativePLBFGS
If the algorithm converges or not.
converge - Static variable in class jml.optimization.PrimalDualInteriorPoint
If the algorithm converges or not.
Corpus - Class in jml.topics
A class to model corpus.
Corpus() - Constructor for class jml.topics.Corpus
Constructor for the class Corpus.
corpus - Variable in class jml.topics.Corpus
A Vector of termID sequences.
corpus - Variable in class jml.topics.LdaGibbsSampler
 
corpus2Documents(Vector<Vector<Integer>>) - Static method in class jml.topics.Corpus
Convert a Vector of termID sequences into a 2D doc-term count array.
cosine(RealMatrix, RealMatrix) - Static method in class jml.manifold.Manifold
Compute the cosine distance matrix between column vectors in matrix A and column vectors in matrix B.
createIndexArray() - Method in class jml.utils.Utility.ArrayIndexComparator
 
CRF - Class in jml.sequence
A Java implementation for the basic Conditional Random Field (CRF).
CRF() - Constructor for class jml.sequence.CRF
Constructor for a CRF instance.
CRF(double) - Constructor for class jml.sequence.CRF
Constructor for a CRF instance.
CRF(int) - Constructor for class jml.sequence.CRF
Constructor for a CRF instance.
CRF(int, double) - Constructor for class jml.sequence.CRF
Constructor for a CRF instance.
CRFModel - Class in jml.sequence
HMM model parameters.
CRFModel(int, int, RealMatrix) - Constructor for class jml.sequence.CRFModel
Constructor for a CRF model.
cut() - Method in class jml.graph.cut.GraphCut
Do graph cut/clustering.
cut() - Method in class jml.graph.cut.MinMaxCut
 
cut() - Method in class jml.graph.cut.NormalizedCut
 
cut() - Method in class jml.graph.cut.RatioCut
 

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