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G

G - Static variable in class jml.optimization.BoundConstrainedPLBFGS
Current gradient.
G - Static variable in class jml.optimization.LBFGS
Current gradient.
G - Static variable in class jml.optimization.LBFGSOnSimplex
Current gradient.
G - Static variable in class jml.optimization.NonlinearConjugateGradient
Current gradient.
G - Static variable in class jml.optimization.NonnegativePLBFGS
Current gradient.
G_pre - Static variable in class jml.optimization.BoundConstrainedPLBFGS
Last gradient.
G_pre - Static variable in class jml.optimization.LBFGS
Last gradient.
G_pre - Static variable in class jml.optimization.LBFGSOnSimplex
Last gradient.
G_pre - Static variable in class jml.optimization.NonlinearConjugateGradient
Last gradient.
G_pre - Static variable in class jml.optimization.NonnegativePLBFGS
Last gradient.
G_Y_k - Static variable in class jml.optimization.AcceleratedProximalGradient
X_{k + 1} = prox_th(Y_k - t * Grad_Y_k) = y_k - t * G_Y_k.
G_z - Static variable in class jml.optimization.LBFGSOnSimplex
 
gamma - Variable in class jml.clustering.L1NMF
 
gamma - Variable in class jml.feature.selection.JointL21NormsMinimization
 
gamma - Variable in class jml.options.L1NMFOptions
 
gamma - Variable in class jml.options.Options
 
ge(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.
ge(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.
ge(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.
genDiscreteDistribution(int) - Method in class jml.sequence.HMM
Generate a discrete distribution with sample size of n.
GeneralQP - Class in jml.optimization
General quadratic programming:
GeneralQP() - Constructor for class jml.optimization.GeneralQP
 
GeneralQPViaPrimalDualInteriorPoint - Class in jml.optimization
General quadratic programming:
GeneralQPViaPrimalDualInteriorPoint() - Constructor for class jml.optimization.GeneralQPViaPrimalDualInteriorPoint
 
generateDataSequences(int, int, int, int, int, double) - Static method in class jml.sequence.CRF
Generate random data sequences to train a CRF model.
generateDataSequences(int, int, int, double[], double[][], double[][]) - Static method in class jml.sequence.HMM
Generate observation sequences with hidden state sequences given model parameters and number of data sequences.
getA() - Method in class jml.sequence.HMM
 
getAccuracy(int[], int[]) - Static method in class jml.classification.Classifier
Get accuracy for a classification task.
getAccuracy(RealMatrix, RealMatrix) - Static method in class jml.clustering.Clustering
Evaluating the clustering performance of this clustering algorithm by using the ground truth.
getB() - Method in class jml.sequence.HMM
 
getCenters() - Method in class jml.clustering.Clustering
Get cluster centers.
getColumns(RealMatrix, int, int) - Static method in class jml.matlab.Matlab
Get the subMatrix containing the elements of the specified columns.
getColumns(RealMatrix, int...) - Static method in class jml.matlab.Matlab
Get the subMatrix containing the elements of the specified columns.
getConditionNumber() - Method in class jml.matlab.utils.SingularValueDecompositionImpl
getCovariance(double) - Method in class jml.matlab.utils.SingularValueDecompositionImpl
getData() - Method in class jml.clustering.Clustering
Fetch data matrix.
getDataMatrix() - Method in class jml.subspace.DimensionalityReduction
 
getDocuments() - Method in class jml.topics.Corpus
Get the documents.
GetErrorMatrix() - Method in class jml.recovery.MatrixCompletion
Get the error matrix between the original observation matrix and its low-rank completed matrix.
GetErrorMatrix() - Method in class jml.recovery.RobustPCA
Get the error matrix between the original observation matrix and its low-rank recovered matrix.
getFirst() - Method in class jml.matlab.utils.Pair
 
getIDLabelMap(int[]) - Static method in class jml.classification.Classifier
Get an ID to integer label mapping array.
getIndicatorMatrix() - Method in class jml.clustering.Clustering
Get cluster indicator matrix.
getIndicatorMatrix() - Method in class jml.graph.cut.GraphCut
Get the N x K cluster indicator matrix.
getIndicatorMatrix() - Method in class jml.topics.TopicModel
Get the N-by-K topic assignment matrix for this topic model.
getInverse() - Method in class jml.matlab.utils.SingularValueDecompositionImpl.Solver
Get the pseudo-inverse of the decomposed matrix.
getK() - Method in class jml.graph.cut.GraphCut
Get the number of clusters.
getLabelIDMap(int[]) - Static method in class jml.classification.Classifier
Get a mapping from labels to IDs.
GetLowRankEstimation() - Method in class jml.recovery.MatrixCompletion
Get the low-rank completed matrix.
GetLowRankEstimation() - Method in class jml.recovery.RobustPCA
Get the low-rank matrix recovered from the corrupted data observation matrix.
getMaxRawFeatureIndex(Feature[][], double) - Static method in class jml.classification.MultiClassSVM
Get the maximal feature index not including the bias feature.
getNorm() - Method in class jml.matlab.utils.SingularValueDecompositionImpl
Two norm
getOptimalLambda() - Static method in class jml.optimization.PrimalDualInteriorPoint
Get Lambda.
getOptimalNu() - Static method in class jml.optimization.PrimalDualInteriorPoint
Get Nu.
getPhi() - Method in class jml.topics.LdaGibbsSampler
Retrieve estimated topic--word associations.
getPi() - Method in class jml.sequence.HMM
 
getProjectionMatrix() - Method in class jml.classification.Classifier
Get projection matrix for this classifier.
getRank() - Method in class jml.matlab.utils.SingularValueDecompositionImpl
getReducedDataMatrix() - Method in class jml.subspace.DimensionalityReduction
 
getReducedDimensionality() - Method in class jml.subspace.DimensionalityReduction
 
getRows(RealMatrix, int, int) - Static method in class jml.matlab.Matlab
Get the subMatrix containing the elements of the specified rows.
getRows(RealMatrix, int...) - Static method in class jml.matlab.Matlab
Get the subMatrix containing the elements of the specified rows.
getS() - Method in class jml.matlab.utils.SingularValueDecompositionImpl
getSecond() - Method in class jml.matlab.utils.Pair
 
getSingularValues() - Method in class jml.matlab.utils.SingularValueDecompositionImpl
getSolver() - Method in class jml.matlab.utils.SingularValueDecompositionImpl
getTFIDF(RealMatrix) - Static method in class jml.matlab.Matlab
Calculate TFIDF of a doc-term-count matrix, each column is a data sample.
getTheta() - Method in class jml.topics.LdaGibbsSampler
Retrieve estimated document--topic associations.
getTopicMatrix() - Method in class jml.topics.TopicModel
Get the V-by-K topic matrix for this topic model.
getTrainingLabelMatrix() - Method in class jml.classification.Classifier
Get ground truth label matrix for training data.
getU() - Method in class jml.matlab.utils.SingularValueDecompositionImpl
getUT() - Method in class jml.matlab.utils.SingularValueDecompositionImpl
getV() - Method in class jml.matlab.utils.SingularValueDecompositionImpl
getVocabularySize(int[][]) - Static method in class jml.topics.Corpus
Get the vocabulary size.
getVT() - Method in class jml.matlab.utils.SingularValueDecompositionImpl
getW() - Method in class jml.feature.selection.FeatureSelection
Get the projection matrix.
getWeightMatrix() - Method in class jml.graph.cut.GraphCut
Get the weight matrix on the graph.
getX() - Method in class jml.feature.selection.FeatureSelection
Get the data matrix.
getY() - Method in class jml.feature.selection.SupervisedFeatureSelection
Get label matrix.
gibbs(int, double, double) - Method in class jml.topics.LdaGibbsSampler
Main method: Select initial state ? Repeat a large number of times: 1.
gibbsSampler - Variable in class jml.topics.LDA
 
Grad_Y_k - Static variable in class jml.optimization.AcceleratedProximalGradient
Current gradient.
gradientRequired - Static variable in class jml.optimization.AcceleratedProximalGradient
If gradient is required for the next step.
gradientRequired - Static variable in class jml.optimization.BoundConstrainedPLBFGS
If gradient is required for the next step.
gradientRequired - Static variable in class jml.optimization.LBFGS
If gradient is required for the next step.
gradientRequired - Static variable in class jml.optimization.LBFGSOnSimplex
If gradient is required for the next step.
gradientRequired - Static variable in class jml.optimization.NonlinearConjugateGradient
If gradient is required for the next step.
gradientRequired - Static variable in class jml.optimization.NonnegativePLBFGS
If gradient is required for the next step.
gradientRequired - Static variable in class jml.optimization.PrimalDualInteriorPoint
If gradient is required for the next step.
GraphCut - Class in jml.graph.cut
 
GraphCut(int) - Constructor for class jml.graph.cut.GraphCut
Constructor.
graphDistanceFunction - Variable in class jml.options.GraphOptions
 
graphDistanceFunction - Variable in class jml.options.SpectralClusteringOptions
 
graphNormalize - Variable in class jml.options.GraphOptions
 
GraphOptions - Class in jml.options
 
GraphOptions() - Constructor for class jml.options.GraphOptions
Generate/alter GraphOptions structure to build a data graph.
GraphOptions(GraphOptions) - Constructor for class jml.options.GraphOptions
 
graphParam - Variable in class jml.options.GraphOptions
 
graphParam - Variable in class jml.options.SpectralClusteringOptions
 
graphType - Variable in class jml.options.GraphOptions
 
graphType - Variable in class jml.options.SpectralClusteringOptions
 
graphWeightParam - Variable in class jml.options.GraphOptions
 
graphWeightParam - Variable in class jml.options.SpectralClusteringOptions
 
graphWeightType - Variable in class jml.options.GraphOptions
 
graphWeightType - Variable in class jml.options.SpectralClusteringOptions
 
gt(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.
gt(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.
gt(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.
gval_Y_k - Static variable in class jml.optimization.AcceleratedProximalGradient
g(Y_k).

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