| Package | Description |
|---|---|
| dragon.ir.clustering | |
| dragon.ir.summarize | |
| dragon.matrix | |
| dragon.matrix.factorize | |
| dragon.ml.seqmodel.crf |
| Modifier and Type | Method and Description |
|---|---|
protected DoubleDenseMatrix |
LinkKMean.estimateClassTransferProb(IRDoc[] arrDoc,
int[] arrDocLabel) |
| Modifier and Type | Method and Description |
|---|---|
protected double |
LinkKMean.getLogLikelihood(IRDoc doc,
int clusterID,
DoubleDenseMatrix transMatrix,
double[] arrOutLinks,
double[] arrInLinks) |
| Modifier and Type | Method and Description |
|---|---|
protected DoubleDenseMatrix |
LexRankSummarizer.buildWeightMatrix(ArrayList docSet) |
| Modifier and Type | Class and Description |
|---|---|
class |
DoubleFlatDenseMatrix
Double flat dense matrix which provides options of storing data to disk in binary manner or text manner
|
| Modifier and Type | Method and Description |
|---|---|
DoubleDenseMatrix |
DoubleFlatSparseMatrix.product(DoubleDenseMatrix b) |
DoubleDenseMatrix |
DoubleFlatSparseMatrix.product(DoubleFlatSparseMatrix matrixY) |
| Modifier and Type | Method and Description |
|---|---|
DoubleDenseMatrix |
DoubleFlatSparseMatrix.product(DoubleDenseMatrix b) |
| Modifier and Type | Method and Description |
|---|---|
protected DoubleDenseMatrix |
AbstractFactorization.genPositiveMatrix(int x,
int y) |
DoubleDenseMatrix |
SVD.getLeftMatrix()
Return the left singular vectors
|
DoubleDenseMatrix |
NMF.getLeftMatrix() |
DoubleDenseMatrix |
Factorization.getLeftMatrix()
Gets the left matrix
|
DoubleDenseMatrix |
SVD.getMiddleMatrix()
Return the diagonal matrix of singular values
|
DoubleDenseMatrix |
NMF.getMiddleMatrix() |
DoubleDenseMatrix |
Factorization.getMiddleMatrix()
Gets the middle matrix
|
DoubleDenseMatrix |
SVD.getRightMatrix()
Return the right singular vectors
|
DoubleDenseMatrix |
NMF.getRightMatrix() |
DoubleDenseMatrix |
Factorization.getRightMatrix()
Gets the right matrix
|
| Modifier and Type | Method and Description |
|---|---|
protected void |
AbstractFactorization.normalizeColumn(DoubleDenseMatrix a) |
protected void |
AbstractFactorization.product(DoubleDenseMatrix a,
DoubleDenseMatrix b,
DoubleDenseMatrix c) |
protected void |
AbstractFactorization.product(SparseMatrix a,
DoubleDenseMatrix b,
DoubleDenseMatrix c) |
protected void |
AbstractFactorization.transpose(DoubleDenseMatrix a,
DoubleDenseMatrix at) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
AbstractCRF.computeTransMatrix(double[] lambda,
DataSequence data,
int startPos,
int endPos,
DoubleDenseMatrix transMatrix,
boolean takeExp) |
protected void |
AbstractCRF.computeTransMatrix(double[] lambda,
DoubleDenseMatrix transMatrix,
boolean takeExp) |
protected void |
AbstractTrainer.genStateVector(DoubleDenseMatrix transMatrix,
double[] oldStateVector,
double[] newStateVector,
boolean transpose) |
protected void |
AbstractTrainer.genStateVectorLog(DoubleDenseMatrix transMatrix,
double[] oldStateVector,
double[] newStateVector,
boolean transpose) |
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