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M
m
- Variable in class jml.matlab.utils.
SingularValueDecompositionImpl
m
- Static variable in class jml.optimization.
BoundConstrainedPLBFGS
m
- Static variable in class jml.optimization.
LBFGS
m
- Static variable in class jml.optimization.
LBFGSOnSimplex
m
- Static variable in class jml.optimization.
NonnegativePLBFGS
m
- Static variable in class jml.optimization.
PrimalDualInteriorPoint
Number of inequality constraints
M
- Variable in class jml.sequence.
HMM
Number of distinct observation symbols per state.
M
- Variable in class jml.sequence.
HMMModel
Number of distinct observation symbols per state.
main(String[])
- Static method in class jml.classification.
AdaBoost
main(String[])
- Static method in class jml.classification.
LogisticRegressionMCBoundConstrainedPLBFGS
main(String[])
- Static method in class jml.classification.
LogisticRegressionMCGradientDescent
main(String[])
- Static method in class jml.classification.
LogisticRegressionMCLBFGS
main(String[])
- Static method in class jml.classification.
LogisticRegressionMCLBFGS_Ori
main(String[])
- Static method in class jml.classification.
LogisticRegressionMCNonlinearConjugateGradient
main(String[])
- Static method in class jml.classification.
LogisticRegressionMCNonnegativePLBFGS
main(String[])
- Static method in class jml.classification.
MaxEnt
main(String[])
- Static method in class jml.classification.
MultiClassSVM
main(String[])
- Static method in class jml.clustering.
KMeans
main(String[])
- Static method in class jml.clustering.
L1NMF
main(String[])
- Static method in class jml.clustering.
LLNMF
main(String[])
- Static method in class jml.clustering.
MRNMF
main(String[])
- Static method in class jml.clustering.
NMF
main(String[])
- Static method in class jml.clustering.
SpectralClustering
main(String[])
- Static method in class jml.data.
Data
main(String[])
- Static method in class jml.feature.
Feature
main(String[])
- Static method in class jml.feature.selection.
JointL21NormsMinimization
main(String[])
- Static method in class jml.graph.cut.
MinMaxCut
main(String[])
- Static method in class jml.graph.cut.
NormalizedCut
main(String[])
- Static method in class jml.graph.cut.
RatioCut
main(String[])
- Static method in class jml.
JML
Main class entry called from a command line.
main(String[])
- Static method in class jml.kernel.
Kernel
main(String[])
- Static method in class jml.manifold.
Manifold
main(String[])
- Static method in class jml.matlab.
Matlab
main(String[])
- Static method in class jml.online.classification.
Perceptron
main(String[])
- Static method in class jml.online.classification.
Winnow
main(String[])
- Static method in class jml.optimization.
AcceleratedProximalGradient
main(String[])
- Static method in class jml.optimization.
GeneralQP
main(String[])
- Static method in class jml.optimization.
GeneralQPViaPrimalDualInteriorPoint
main(String[])
- Static method in class jml.optimization.
LBFGSOnSimplex
main(String[])
- Static method in class jml.optimization.
PrimalDualInteriorPoint
main(String[])
- Static method in class jml.optimization.
ProjL1
main(String[])
- Static method in class jml.optimization.
ProxLInfinity
main(String[])
- Static method in class jml.optimization.
QPWithBoundConstraints
main(String[])
- Static method in class jml.random.
MultivariateGaussianDistribution
main(String[])
- Static method in class jml.recovery.
MatrixCompletion
main(String[])
- Static method in class jml.recovery.
RobustPCA
main(String[])
- Static method in class jml.regression.
LASSO
main(String[])
- Static method in class jml.sequence.
CRF
main(String[])
- Static method in class jml.sequence.
HMM
main(String[])
- Static method in class jml.subspace.
Isomap
main(String[])
- Static method in class jml.subspace.
KernelPCA
main(String[])
- Static method in class jml.subspace.
LaplacianEigenmaps
main(String[])
- Static method in class jml.subspace.
LLE
main(String[])
- Static method in class jml.subspace.
MDS
main(String[])
- Static method in class jml.subspace.
PCA
main(String[])
- Static method in class jml.topics.
LDA
main(String[])
- Static method in class jml.topics.
LdaGibbsSampler
Driver with example data.
main(String[])
- Static method in class jml.topics.
LSI
main(String[])
- Static method in class jml.topics.
SparseLSA
main(String[])
- Static method in class jml.visualization.
Figure
Manifold
- Class in
jml.manifold
Manifold()
- Constructor for class jml.manifold.
Manifold
mapArray2Matrix(ArrayList<TreeMap<Integer, Double>>)
- Static method in class jml.data.
Data
Matlab
- Class in
jml.matlab
Matlab provides some frequently used Matlab matrix functions such as sort, sum, max, min, kron, vec, repmat, reshape, and colon.
Matlab()
- Constructor for class jml.matlab.
Matlab
Matrix
- Static variable in class jml.optimization.
PrimalDualInteriorPoint
matrix2Features(RealMatrix)
- Static method in class jml.classification.
MultiClassSVM
Convert original data matrix into Feature[][] including bias features.
matrix2Features(RealMatrix, double)
- Static method in class jml.classification.
MultiClassSVM
Convert original data matrix into Feature[][] including bias features if bias is nonnegative.
MatrixCompletion
- Class in
jml.recovery
A Java implementation of matrix completion which solves the following convex optimization problem: min ||A||_* s.t.
MatrixCompletion()
- Constructor for class jml.recovery.
MatrixCompletion
Constructor.
matrixCompletion(RealMatrix, RealMatrix)
- Method in class jml.recovery.
MatrixCompletion
Do matrix completion which solves the following convex optimization problem: min ||A||_* s.t.
matrixCompletion(RealMatrix, int[])
- Method in class jml.recovery.
MatrixCompletion
Do matrix completion which solves the following convex optimization problem: min ||A||_* s.t.
max(RealMatrix)
- Static method in class jml.matlab.
Matlab
Calculate the maximum of a row matrix A or its column-wise maximum.
max(RealMatrix, double)
- Static method in class jml.matlab.
Matlab
Calculate maximum between elements of A and a real number and return as a matrix with the same shape of A.
max(double, RealMatrix)
- Static method in class jml.matlab.
Matlab
Calculate maximum between elements of A and a real number and return as a matrix with the same shape of A.
max(RealMatrix, RealMatrix)
- Static method in class jml.matlab.
Matlab
Calculate element-wise maximum between two matrices X and Y.
max(RealMatrix, int)
- Static method in class jml.matlab.
Matlab
Calculate the maximal value and its row or column index of a matrix A.
max(RealVector)
- Static method in class jml.matlab.
Matlab
Get the maximal value and its index in V.
max1(RealMatrix, int)
- Static method in class jml.matlab.
Matlab
Deprecated.
max2(RealMatrix, int)
- Static method in class jml.matlab.
Matlab
Deprecated.
MaxEnt
- Class in
jml.classification
A Java implementation for the maximum entropy modeling.
MaxEnt()
- Constructor for class jml.classification.
MaxEnt
MaxEntModel
- Class in
jml.classification
Maximum entropy model parameters.
MaxEntModel(int, RealMatrix, int[])
- Constructor for class jml.classification.
MaxEntModel
Constructor for a MaxEnt model.
maxIter
- Variable in class jml.clustering.
L1NMF
maxIter
- Variable in class jml.options.
ClusteringOptions
maxIter
- Variable in class jml.options.
KMeansOptions
maxIter
- Variable in class jml.options.
Options
maxIter
- Variable in class jml.regression.
Regression
Maximal number of iterations.
maxIter
- Variable in class jml.sequence.
CRF
Maximal number of iterations.
maxIter
- Variable in class jml.sequence.
HMM
Maximal number of iterations.
MDS
- Class in
jml.subspace
Multi-dimensional Scaling (MDS).
MDS(int)
- Constructor for class jml.subspace.
MDS
Constructor.
mean(RealMatrix)
- Static method in class jml.matlab.
Matlab
Average or mean value of array.
mean(RealMatrix, int)
- Static method in class jml.matlab.
Matlab
M = mean(A, dim) returns the mean values for elements along the dimension of A specified by scalar dim.
min(RealMatrix)
- Static method in class jml.matlab.
Matlab
Calculate the minimum of a row matrix A or its column-wise minimum.
min(RealMatrix, double)
- Static method in class jml.matlab.
Matlab
Calculate minimum between elements of A and a real number and return as a matrix with the same shape of A.
min(double, RealMatrix)
- Static method in class jml.matlab.
Matlab
Calculate minimum between elements of A and a real number and return as a matrix with the same shape of A.
min(RealMatrix, RealMatrix)
- Static method in class jml.matlab.
Matlab
Calculate element-wise minimum between two matrices X and Y.
min(RealMatrix, int)
- Static method in class jml.matlab.
Matlab
Calculate the minimal value and its row and column index of a matrix A.
min(RealVector)
- Static method in class jml.matlab.
Matlab
Get the minimal value and its index in V.
min1(RealMatrix, int)
- Static method in class jml.matlab.
Matlab
Deprecated.
min2(RealMatrix, int)
- Static method in class jml.matlab.
Matlab
Deprecated.
MinMaxCut
- Class in
jml.graph.cut
MinMaxCut(int)
- Constructor for class jml.graph.cut.
MinMaxCut
minus(RealMatrix, RealMatrix)
- Static method in class jml.matlab.
Matlab
Array subtraction between two matrices.
minus(RealMatrix, double)
- Static method in class jml.matlab.
Matlab
Array subtraction between a matrix and a scalar.
minus(double, RealMatrix)
- Static method in class jml.matlab.
Matlab
Array subtraction between a scalar and a matrix.
minus(double, double)
- Static method in class jml.matlab.
Matlab
Subtraction between two scalars a and b.
minusAssign(int[], int)
- Static method in class jml.operation.
ArrayOperation
Element-wise subtraction and assignment operation.
minusAssign(double[], double)
- Static method in class jml.operation.
ArrayOperation
Element-wise subtraction and assignment operation.
minusAssign(double[], double[])
- Static method in class jml.operation.
ArrayOperation
Element-wise subtraction and assignment operation.
mldivide(RealMatrix, RealMatrix)
- Static method in class jml.matlab.
Matlab
Calculate the left division of the form A \ B.
model
- Variable in class jml.classification.
LogisticRegressionMCLBFGS
Model
- Class in
jml.classification
Model(RealMatrix)
- Constructor for class jml.classification.
Model
model
- Variable in class jml.classification.
MultiClassSVM
SVM model.
mrdivide(RealMatrix, RealMatrix)
- Static method in class jml.matlab.
Matlab
Calculate the right division of B into A, i.e., A / B.
MRNMF
- Class in
jml.clustering
MRNMF()
- Constructor for class jml.clustering.
MRNMF
mtimes(RealMatrix, RealMatrix)
- Static method in class jml.matlab.
Matlab
Matrix multiplication.
mtimes(RealMatrix, double)
- Static method in class jml.matlab.
Matlab
Matrix multiplication.
mtimes(double, RealMatrix)
- Static method in class jml.matlab.
Matlab
Matrix multiplication.
mu
- Variable in class jml.clustering.
L1NMF
mu
- Static variable in class jml.optimization.
PrimalDualInteriorPoint
mu
- Variable in class jml.options.
L1NMFOptions
mu
- Variable in class jml.options.
Options
MultiClassSVM
- Class in
jml.classification
Multi-class SVM using LIBLINEAR library.
MultiClassSVM(double, double)
- Constructor for class jml.classification.
MultiClassSVM
Maximal feature index, not including the bias feature.
MultiClassSVM()
- Constructor for class jml.classification.
MultiClassSVM
MultivariateGaussianDistribution
- Class in
jml.random
A Java implementation for the multivariate Gaussian distribution given mean and covariance.
MultivariateGaussianDistribution()
- Constructor for class jml.random.
MultivariateGaussianDistribution
mvnrnd(RealMatrix, RealMatrix, int)
- Static method in class jml.matlab.
Matlab
Generate random samples chosen from the multivariate Gaussian distribution with mean MU and covariance SIGMA.
mvnrnd(double[], double[][], int)
- Static method in class jml.matlab.
Matlab
Generate random samples chosen from the multivariate Gaussian distribution with mean MU and covariance SIGMA.
mvnrnd(double[], double[], int)
- Static method in class jml.matlab.
Matlab
Generate random samples chosen from the multivariate Gaussian distribution with mean MU and a diagonal covariance SIGMA.
mvnrnd(RealMatrix, RealMatrix, int)
- Static method in class jml.random.
MultivariateGaussianDistribution
Generate random samples chosen from the multivariate Gaussian distribution with mean MU and covariance SIGMA.
mvnrnd(double[], double[][], int)
- Static method in class jml.random.
MultivariateGaussianDistribution
Generate random samples chosen from the multivariate Gaussian distribution with mean MU and covariance SIGMA.
mvnrnd(double[], double[], int)
- Static method in class jml.random.
MultivariateGaussianDistribution
Generate random samples chosen from the multivariate Gaussian distribution with mean MU and a diagonal covariance SIGMA.
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