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L

l - Static variable in class jml.optimization.PrimalDualInteriorPoint
Lambda, i.e., the Lagrangian multipliers for inequality constraints.
L1NMF - Class in jml.clustering
A Java implementation for L1NMF which solves the following optimization problem:
L1NMF(Options) - Constructor for class jml.clustering.L1NMF
 
L1NMF(L1NMFOptions) - Constructor for class jml.clustering.L1NMF
 
L1NMF() - Constructor for class jml.clustering.L1NMF
 
L1NMFOptions - Class in jml.options
 
L1NMFOptions() - Constructor for class jml.options.L1NMFOptions
 
L1NMFOptions(L1NMFOptions) - Constructor for class jml.options.L1NMFOptions
 
L1NMFOptions(int) - Constructor for class jml.options.L1NMFOptions
 
L1NMFOptions(int, boolean, int) - Constructor for class jml.options.L1NMFOptions
 
L1NMFOptions(ClusteringOptions) - Constructor for class jml.options.L1NMFOptions
 
l2Distance(RealMatrix, RealMatrix) - Static method in class jml.matlab.Matlab
Compute the l2 distance matrix between column vectors in matrix X and column vectors in matrix Y.
l2DistanceSquare(RealMatrix, RealMatrix) - Static method in class jml.matlab.Matlab
Compute the squared l2 distance matrix between column vectors in matrix X and column vectors in matrix Y.
l2NormByRows(RealMatrix) - Static method in class jml.matlab.Matlab
Calculate the l_2 norm of a vector or row vectors of a matrix.
l_nt - Static variable in class jml.optimization.PrimalDualInteriorPoint
 
labelIDs - Variable in class jml.classification.Classifier
LabelID array for training data, starting from 0.
labelIndexArray2LabelMatrix(int[], int) - Static method in class jml.classification.Classifier
Convert a label index array to a label matrix.
labels - Variable in class jml.classification.Classifier
Label array for training data with original integer code.
labelScoreMatrix2LabelIndexArray(RealMatrix) - Static method in class jml.classification.Classifier
Convert a label matrix to a label index array.
lambda - Variable in class jml.options.Options
 
lambda - Variable in class jml.recovery.RobustPCA
A positive weighting parameter.
lambda - Variable in class jml.regression.LASSO
Regularization parameter.
lambda_opt - Variable in class jml.optimization.QPSolution
 
laplacian(RealMatrix, String, GraphOptions) - Static method in class jml.manifold.Manifold
Calculate the graph Laplacian of the adjacency graph of a data set represented as columns of a matrix X.
LaplacianEigenmaps - Class in jml.subspace
 
LaplacianEigenmaps(int) - Constructor for class jml.subspace.LaplacianEigenmaps
 
LASSO - Class in jml.regression
A Java implementation of LASSO, which solves the following convex optimization problem:
LASSO() - Constructor for class jml.regression.LASSO
 
LASSO(double) - Constructor for class jml.regression.LASSO
 
LASSO(int, double) - Constructor for class jml.regression.LASSO
 
LASSO(double, int, double) - Constructor for class jml.regression.LASSO
 
LASSO(Options) - Constructor for class jml.regression.LASSO
 
LBFGS - Class in jml.optimization
A Java implementation for the limited-memory BFGS algorithm.
LBFGS() - Constructor for class jml.optimization.LBFGS
 
LBFGSOnSimplex - Class in jml.optimization
A Java implementation for the projected limited-memory BFGS algorithm with simplex constraints.
LBFGSOnSimplex() - Constructor for class jml.optimization.LBFGSOnSimplex
 
LDA - Class in jml.topics
 
LDA(LDAOptions) - Constructor for class jml.topics.LDA
 
LDA() - Constructor for class jml.topics.LDA
 
LDA(int) - Constructor for class jml.topics.LDA
 
LdaGibbsSampler - Class in jml.topics
Gibbs sampler for estimating the best assignments of topics for words and documents in a corpus.
LdaGibbsSampler(int[][], int) - Constructor for class jml.topics.LdaGibbsSampler
Initialize the Gibbs sampler with data.
LdaGibbsSampler(LDAOptions) - Constructor for class jml.topics.LdaGibbsSampler
 
LdaGibbsSampler() - Constructor for class jml.topics.LdaGibbsSampler
 
LDAOptions - Class in jml.options
 
LDAOptions() - Constructor for class jml.options.LDAOptions
 
LDAOptions - Variable in class jml.topics.LdaGibbsSampler
 
ldivide(double, RealMatrix) - Static method in class jml.matlab.Matlab
Left array division.
ldivide(RealMatrix, double) - Static method in class jml.matlab.Matlab
Left array division.
ldivide(RealMatrix, RealMatrix) - Static method in class jml.matlab.Matlab
Left array division.
le(RealMatrix, RealMatrix) - Static method in class jml.matlab.Matlab
Do element by element comparisons between X and Y and returns a matrix of the same size with elements set to 1 where the relation is true and elements set to 0 where it is not.
le(RealMatrix, double) - Static method in class jml.matlab.Matlab
Do element by element comparisons between X and x and returns a matrix of the same size with elements set to 1 where the relation is true and elements set to 0 where it is not.
le(double, RealMatrix) - Static method in class jml.matlab.Matlab
Do element by element comparisons between x and X and returns a matrix of the same size with elements set to 1 where the relation is true and elements set to 0 where it is not.
linearIndexing(int[], int[]) - Static method in class jml.matlab.Matlab
Linear indexing V by an index array.
linearIndexing(double[], int[]) - Static method in class jml.matlab.Matlab
Linear indexing V by an index array.
linearIndexing(RealMatrix, int[]) - Static method in class jml.matlab.Matlab
Linear indexing A by an index array.
linearIndexingAssignment(RealMatrix, int[], RealMatrix) - Static method in class jml.matlab.Matlab
Matrix assignment by linear indexing for the syntax A(B) = V.
linearIndexingAssignment(RealMatrix, int[], double) - Static method in class jml.matlab.Matlab
Matrix assignment by linear indexing for the syntax A(B) = v.
linspace(double, double, int) - Static method in class jml.matlab.Matlab
Generates a linearly spaced vector.
LLE - Class in jml.subspace
Locally Linear Embedding (LLE).
LLE(int) - Constructor for class jml.subspace.LLE
Constructor.
LLE(int, int) - Constructor for class jml.subspace.LLE
Constructor.
LLNMF - Class in jml.clustering
 
LLNMF() - Constructor for class jml.clustering.LLNMF
 
lnf - Static variable in class jml.topics.LdaGibbsSampler
 
loadDenseMatrix(String) - Static method in class jml.data.Data
Read a dense matrix from a text file.
loadMatrix(String) - Static method in class jml.data.Data
Read a matrix from a text file.
loadMatrixFromDocTermCountFile(String) - Static method in class jml.data.Data
Load a RealMatrix from a doc-term-count file located at String docTermCountFilePath.
loadModel(String) - Method in class jml.classification.AdaBoost
 
loadModel(String) - Method in class jml.classification.Classifier
Load the model for a classifier.
loadModel(String) - Method in class jml.classification.LogisticRegressionMCBoundConstrainedPLBFGS
 
loadModel(String) - Method in class jml.classification.LogisticRegressionMCGradientDescent
 
loadModel(String) - Method in class jml.classification.LogisticRegressionMCLBFGS
 
loadModel(String) - Method in class jml.classification.LogisticRegressionMCLBFGS_Ori
 
loadModel(String) - Method in class jml.classification.LogisticRegressionMCNonlinearConjugateGradient
 
loadModel(String) - Method in class jml.classification.LogisticRegressionMCNonnegativePLBFGS
 
loadModel(String) - Method in class jml.classification.MaxEnt
 
loadModel(String) - Method in class jml.classification.MultiClassSVM
 
loadModel(String) - Method in class jml.online.classification.OnlineBinaryClassifier
Load the model for a classifier.
loadModel(String) - Method in class jml.regression.LASSO
 
loadModel(String) - Method in class jml.regression.Regression
 
loadModel(String) - Method in class jml.sequence.CRF
Load the model from a file.
loadModel(String) - Method in class jml.sequence.HMM
Load an HMM model from a file.
loadSparseMatrix(String) - Static method in class jml.data.Data
Load a RealMatrix from a text file located at String dataMatrixFilePath.
loadSVMModel(String) - Method in class jml.classification.MultiClassSVM
 
log(RealMatrix) - Static method in class jml.matlab.Matlab
Calculate the element-wise logarithm of a matrix.
logicalIndexing(RealMatrix, RealMatrix) - Static method in class jml.matlab.Matlab
Logical indexing A by B for the syntax A(B).
logicalIndexingAssignment(RealMatrix, RealMatrix, RealMatrix) - Static method in class jml.matlab.Matlab
Matrix assignment by logical indexing for the syntax A(B) = V.
logicalIndexingAssignment(RealMatrix, RealMatrix, double) - Static method in class jml.matlab.Matlab
Matrix assignment by logical indexing for the syntax A(B) = v.
LogisticRegressionMCBoundConstrainedPLBFGS - Class in jml.classification
Multi-class logistic regression by using projected limited-memory BFGS method.
LogisticRegressionMCBoundConstrainedPLBFGS(Options) - Constructor for class jml.classification.LogisticRegressionMCBoundConstrainedPLBFGS
 
LogisticRegressionMCGradientDescent - Class in jml.classification
Multi-class logistic regression by using gradient descent method.
LogisticRegressionMCGradientDescent(Options) - Constructor for class jml.classification.LogisticRegressionMCGradientDescent
 
LogisticRegressionMCLBFGS - Class in jml.classification
Multi-class logistic regression by using limited-memory BFGS method.
LogisticRegressionMCLBFGS() - Constructor for class jml.classification.LogisticRegressionMCLBFGS
 
LogisticRegressionMCLBFGS(double) - Constructor for class jml.classification.LogisticRegressionMCLBFGS
 
LogisticRegressionMCLBFGS(Options) - Constructor for class jml.classification.LogisticRegressionMCLBFGS
 
LogisticRegressionMCLBFGS_Ori - Class in jml.classification
Multi-class logistic regression by using limited-memory BFGS method.
LogisticRegressionMCLBFGS_Ori(Options) - Constructor for class jml.classification.LogisticRegressionMCLBFGS_Ori
 
LogisticRegressionMCNonlinearConjugateGradient - Class in jml.classification
Multi-class logistic regression by using nonlinear conjugate gradient method.
LogisticRegressionMCNonlinearConjugateGradient() - Constructor for class jml.classification.LogisticRegressionMCNonlinearConjugateGradient
 
LogisticRegressionMCNonlinearConjugateGradient(double) - Constructor for class jml.classification.LogisticRegressionMCNonlinearConjugateGradient
 
LogisticRegressionMCNonlinearConjugateGradient(Options) - Constructor for class jml.classification.LogisticRegressionMCNonlinearConjugateGradient
 
LogisticRegressionMCNonnegativePLBFGS - Class in jml.classification
Multi-class logistic regression by using projected limited-memory BFGS method.
LogisticRegressionMCNonnegativePLBFGS(Options) - Constructor for class jml.classification.LogisticRegressionMCNonnegativePLBFGS
 
LSI - Class in jml.topics
 
LSI(Options) - Constructor for class jml.topics.LSI
 
LSI(int) - Constructor for class jml.topics.LSI
 
lt(RealMatrix, RealMatrix) - Static method in class jml.matlab.Matlab
Do element by element comparisons between X and Y and returns a matrix of the same size with elements set to 1 where the relation is true and elements set to 0 where it is not.
lt(RealMatrix, double) - Static method in class jml.matlab.Matlab
Do element by element comparisons between X and x and returns a matrix of the same size with elements set to 1 where the relation is true and elements set to 0 where it is not.
lt(double, RealMatrix) - Static method in class jml.matlab.Matlab
Do element by element comparisons between x and X and returns a matrix of the same size with elements set to 1 where the relation is true and elements set to 0 where it is not.

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