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S

s - Variable in class jml.matlab.utils.SingularValueDecompositionImpl
 
s - Static variable in class jml.optimization.PrimalDualInteriorPoint
Step length for backtracking line search.
s_k - Static variable in class jml.optimization.BoundConstrainedPLBFGS
 
s_k - Static variable in class jml.optimization.LBFGS
 
s_k - Static variable in class jml.optimization.LBFGSOnSimplex
 
s_k - Static variable in class jml.optimization.NonnegativePLBFGS
 
s_ks - Static variable in class jml.optimization.BoundConstrainedPLBFGS
 
s_ks - Static variable in class jml.optimization.LBFGS
 
s_ks - Static variable in class jml.optimization.LBFGSOnSimplex
 
s_ks - Static variable in class jml.optimization.NonnegativePLBFGS
 
SAMPLE_LAG - Static variable in class jml.topics.LdaGibbsSampler
sample lag (if -1 only one sample taken)
sampleFullConditional(int, int) - Method in class jml.topics.LdaGibbsSampler
Sample a topic z_i from the full conditional distribution: p(z_i = j | z_-i, w) = (n_-i,j(w_i) + beta)/(n_-i,j(.) + W * beta) * (n_-i,j(d_i) + alpha)/(n_-i,.(d_i) + K * alpha)
sampleLag - Variable in class jml.options.LDAOptions
 
saveDenseMatrix(String, RealMatrix) - Static method in class jml.data.Data
Write a dense matrix into a text file.
saveMatrix(String, RealMatrix) - Static method in class jml.data.Data
Write a matrix into a text file.
saveModel(String) - Method in class jml.classification.AdaBoost
 
saveModel(String) - Method in class jml.classification.Classifier
Save the model for a classifier.
saveModel(String) - Method in class jml.classification.LogisticRegressionMCBoundConstrainedPLBFGS
 
saveModel(String) - Method in class jml.classification.LogisticRegressionMCGradientDescent
 
saveModel(String) - Method in class jml.classification.LogisticRegressionMCLBFGS
 
saveModel(String) - Method in class jml.classification.LogisticRegressionMCLBFGS_Ori
 
saveModel(String) - Method in class jml.classification.LogisticRegressionMCNonlinearConjugateGradient
 
saveModel(String) - Method in class jml.classification.LogisticRegressionMCNonnegativePLBFGS
 
saveModel(String) - Method in class jml.classification.MaxEnt
 
saveModel(String) - Method in class jml.classification.MultiClassSVM
 
saveModel(String) - Method in class jml.online.classification.OnlineBinaryClassifier
Save the model for a classifier.
saveModel(String) - Method in class jml.regression.LASSO
 
saveModel(String) - Method in class jml.regression.Regression
 
saveModel(String) - Method in class jml.sequence.CRF
Save the model to a file.
saveModel(String) - Method in class jml.sequence.HMM
Save this HMM model to a file.
saveModel2(String) - Method in class jml.classification.LogisticRegressionMCLBFGS
 
saveModel2(String) - Method in class jml.classification.LogisticRegressionMCNonlinearConjugateGradient
 
saveSparseMatrix(String, RealMatrix) - Static method in class jml.data.Data
Write a sparse matrix into a text file.
saveSVMModel(String) - Method in class jml.classification.MultiClassSVM
 
scalarDivide(double, RealMatrix) - Static method in class jml.matlab.Matlab
Calculate element by element division between a scalar and a matrix.
second - Variable in class jml.matlab.utils.Pair
 
serialVersionUID - Static variable in class jml.classification.AdaBoost
 
serialVersionUID - Static variable in class jml.classification.Classifier
 
serialVersionUID - Static variable in class jml.classification.LogisticRegressionMCBoundConstrainedPLBFGS
 
serialVersionUID - Static variable in class jml.classification.LogisticRegressionMCGradientDescent
 
serialVersionUID - Static variable in class jml.classification.LogisticRegressionMCLBFGS
 
serialVersionUID - Static variable in class jml.classification.LogisticRegressionMCLBFGS_Ori
 
serialVersionUID - Static variable in class jml.classification.LogisticRegressionMCNonlinearConjugateGradient
 
serialVersionUID - Static variable in class jml.classification.LogisticRegressionMCNonnegativePLBFGS
 
serialVersionUID - Static variable in class jml.classification.MaxEnt
 
serialVersionUID - Static variable in class jml.classification.MaxEntModel
 
serialVersionUID - Static variable in class jml.classification.Model
 
serialVersionUID - Static variable in class jml.classification.MultiClassSVM
 
serialVersionUID - Static variable in class jml.sequence.CRFModel
 
serialVersionUID - Static variable in class jml.sequence.HMMModel
 
setA(double[][]) - Method in class jml.sequence.HMM
 
setB(double[][]) - Method in class jml.sequence.HMM
 
setFirst(A) - Method in class jml.matlab.utils.Pair
 
setK(int) - Method in class jml.graph.cut.GraphCut
Set the number of clusters.
setLDATermIndexStart(int) - Static method in class jml.topics.Corpus
Set term staring index for LDA input file.
setMatrix(RealMatrix, RealMatrix) - Static method in class jml.matlab.Matlab
Set all the elements of X to be those of Y, this is particularly useful when we want to change elements of the object referred by X rather than the reference X itself.
setOs(int[][]) - Method in class jml.sequence.HMM
 
setPi(double[]) - Method in class jml.sequence.HMM
 
setQs(int[][]) - Method in class jml.sequence.HMM
 
setReducedDimensionality(int) - Method in class jml.subspace.DimensionalityReduction
 
setSecond(B) - Method in class jml.matlab.utils.Pair
 
setSubMatrix(RealMatrix, int[], int[], RealMatrix) - Static method in class jml.matlab.Matlab
Set submatrix of A with selected rows and selected columns by elements of B.
shadeDouble(double, double) - Static method in class jml.topics.LdaGibbsSampler
create a string representation whose gray value appears as an indicator of magnitude, cf.
shades - Static variable in class jml.topics.LdaGibbsSampler
 
shellClassification(String[], String) - Static method in class jml.JML
 
shellClustering(String[], String) - Static method in class jml.JML
 
showObservationSequence(int[]) - Method in class jml.sequence.HMM
Show an observation sequence.
showStateSequence(int[]) - Method in class jml.sequence.HMM
Show a state sequence.
showUsage() - Static method in class jml.classification.MultiClassSVM
Show usage.
showUsage() - Static method in class jml.JML
Show usage.
shrinkage(RealMatrix, double) - Static method in class jml.optimization.ShrinkageOperator
Soft-thresholding (shrinkage) operator, which is defined as S_{t}[x] = argmin_u 1/2 * || u - x ||^2 + t||x||_1
which is actually prox_{t||.||_1}(x).
ShrinkageOperator - Class in jml.optimization
Soft-thresholding (shrinkage) operator, which is defined as S_{t}[x] = argmin_u 1/2 * || u - x ||^2 + t||x||_1
which is actually prox_{t||.||_1}(x).
ShrinkageOperator() - Constructor for class jml.optimization.ShrinkageOperator
 
sigma - Variable in class jml.sequence.CRF
Regularization parameter
sigmoid(RealMatrix) - Static method in class jml.matlab.Matlab
Calculate the sigmoid of a matrix A by rows.
sign(RealMatrix) - Static method in class jml.matlab.Matlab
Signum function.
SingularValueDecompositionImpl - Class in jml.matlab.utils
Calculates the compact Singular Value Decomposition of a matrix.
SingularValueDecompositionImpl(RealMatrix) - Constructor for class jml.matlab.utils.SingularValueDecompositionImpl
Calculates the compact Singular Value Decomposition of the given matrix.
SingularValueDecompositionImpl.Solver - Class in jml.matlab.utils
Specialized solver.
SingularValueDecompositionImpl.Solver(double[], RealMatrix, RealMatrix, boolean) - Constructor for class jml.matlab.utils.SingularValueDecompositionImpl.Solver
Build a solver from decomposed matrix.
size(RealMatrix) - Static method in class jml.matlab.Matlab
Get a two dimensional integer array for size of a matrix A.
size(RealMatrix, int) - Static method in class jml.matlab.Matlab
Get the dimensionality on dim-th dimension for a matrix A.
solve(double[]) - Method in class jml.matlab.utils.SingularValueDecompositionImpl.Solver
Solve the linear equation A × X = B in least square sense.
solve(RealVector) - Method in class jml.matlab.utils.SingularValueDecompositionImpl.Solver
Solve the linear equation A × X = B in least square sense.
solve(RealMatrix) - Method in class jml.matlab.utils.SingularValueDecompositionImpl.Solver
Solve the linear equation A × X = B in least square sense.
solve(RealMatrix, RealMatrix, RealMatrix, RealMatrix, RealMatrix, RealMatrix) - Static method in class jml.optimization.GeneralQP
Solve a general quadratic programming problem formulated as
solve(RealMatrix, RealMatrix, RealMatrix, RealMatrix, RealMatrix, RealMatrix) - Static method in class jml.optimization.GeneralQPViaPrimalDualInteriorPoint
Solve a general quadratic programming problem formulated as
solve(RealMatrix, RealMatrix, double, double, double) - Static method in class jml.optimization.QPWithBoundConstraints
Solve this bound constrained QP problem.
solve(RealMatrix, RealMatrix, double, double, double, RealMatrix) - Static method in class jml.optimization.QPWithBoundConstraints
Solve this bound constrained QP problem.
sort(RealMatrix, int, String) - Static method in class jml.matlab.Matlab
Sort elements of a matrix A on a direction in a specified order.
sort(RealMatrix, int) - Static method in class jml.matlab.Matlab
Sort elements of a matrix A on a direction in a increasing order.
sort(RealVector, String) - Static method in class jml.matlab.Matlab
Sort elements of a real vector V in place in a specified order.
sort2(RealMatrix, int) - Static method in class jml.matlab.Matlab
Sort elements of a matrix A on a direction in an increasing order.
sort2(RealMatrix) - Static method in class jml.matlab.Matlab
Sort elements of a matrix A column-wisely in an increasing order.
sort2(RealMatrix, int, String) - Static method in class jml.matlab.Matlab
Sort elements of a matrix A on a direction in a specified order.
sort3(RealMatrix, int, String) - Static method in class jml.matlab.Matlab
Deprecated. 
sortByKey(Map<K, V>, String) - Static method in class jml.utils.Utility
Sort a map by its keys according to a specified order.
sortByKeys(Map<K, V>, String) - Static method in class jml.utils.Utility
Sort a map by its keys according to a specified order.
sortByValue(Map<K, V>, String) - Static method in class jml.utils.Utility
Sort a map by its values according to a specified order.
sortByValues(Map<K, V>, String) - Static method in class jml.utils.Utility
Sort a map by its values according to a specified order.
SortResult - Class in jml.matlab.utils
A wrapper for the output of sort function.
SortResult(RealMatrix, int[][]) - Constructor for class jml.matlab.utils.SortResult
 
sparse(RealMatrix) - Static method in class jml.matlab.Matlab
Convert a dense matrix into a sparse matrix.
SparseLSA - Class in jml.topics
 
SparseLSA() - Constructor for class jml.topics.SparseLSA
 
SpectralClustering - Class in jml.clustering
A Java implementation for spectral clustering.
SpectralClustering() - Constructor for class jml.clustering.SpectralClustering
 
SpectralClustering(int) - Constructor for class jml.clustering.SpectralClustering
 
SpectralClustering(ClusteringOptions) - Constructor for class jml.clustering.SpectralClustering
 
SpectralClustering(SpectralClusteringOptions) - Constructor for class jml.clustering.SpectralClustering
 
SpectralClusteringOptions - Class in jml.options
 
SpectralClusteringOptions() - Constructor for class jml.options.SpectralClusteringOptions
Constructor with default data member values:
SpectralClusteringOptions(int) - Constructor for class jml.options.SpectralClusteringOptions
 
SpectralClusteringOptions(int, boolean, int, String, double, String, String, double) - Constructor for class jml.options.SpectralClusteringOptions
 
SpectralClusteringOptions(ClusteringOptions) - Constructor for class jml.options.SpectralClusteringOptions
 
sprintf(String, Object...) - Static method in class jml.matlab.Matlab
Format variables into a string.
sqrt(RealMatrix) - Static method in class jml.matlab.Matlab
Calculate square root for all elements of a matrix A.
startIdx - Variable in class jml.sequence.CRF
Index for the start state in the state space.
startIdx - Variable in class jml.sequence.CRFModel
Index for the start state in the state space.
state - Static variable in class jml.optimization.AcceleratedProximalGradient
State for the automata machine.
state - Static variable in class jml.optimization.BoundConstrainedPLBFGS
State for the automata machine.
state - Static variable in class jml.optimization.LBFGS
State for the automata machine.
state - Static variable in class jml.optimization.LBFGSOnSimplex
State for the automata machine.
state - Static variable in class jml.optimization.NonlinearConjugateGradient
State for the automata machine.
state - Static variable in class jml.optimization.NonnegativePLBFGS
State for the automata machine.
state - Static variable in class jml.optimization.PrimalDualInteriorPoint
State for the automata machine.
subplus(RealMatrix) - Static method in class jml.matlab.Matlab
Get the nonnegative part of a matrix A.
sum(RealMatrix) - Static method in class jml.matlab.Matlab
Calculate the sum of a row matrix A or its column-wise sum.
sum(RealMatrix, int) - Static method in class jml.matlab.Matlab
Calculate the sum of elements of A on a dimension.
sum(RealVector) - Static method in class jml.matlab.Matlab
Compute the sum of all elements of a vector.
sum(double[]) - Static method in class jml.operation.ArrayOperation
Compute the sum of a 1D double array.
sum(double[]) - Method in class jml.sequence.HMM
Compute the sum of a 1D double array.
sum2one(double[]) - Static method in class jml.operation.ArrayOperation
Sum a 1D double array to one, i.e., V[i] = V[i] / sum(V).
sum2one(double[]) - Method in class jml.sequence.HMM
Sum a 1D double array to one, i.e., V[i] = V[i] / sum(V).
sumAll(RealMatrix) - Static method in class jml.matlab.Matlab
Compute the sum of all elements of a matrix.
SupervisedFeatureSelection - Class in jml.feature.selection
Abstract class for supervised feature selection algorithms.
SupervisedFeatureSelection() - Constructor for class jml.feature.selection.SupervisedFeatureSelection
 
svd(RealMatrix) - Static method in class jml.matlab.Matlab
Compute the "economy size" matrix singular value decomposition.

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