| Package | Description |
|---|---|
| edu.umass.cs.mallet.base.types | |
| edu.umass.cs.mallet.projects.seg_plus_coref.clustering | |
| edu.umass.cs.mallet.projects.seg_plus_coref.coreference |
| Modifier and Type | Method and Description |
|---|---|
Matrix2 |
Matrix2.cloneMatrix2() |
Matrix2 |
Matrix2.transpose() |
| Modifier and Type | Method and Description |
|---|---|
double |
FeatureVectorSequence.dotProduct(int sequencePosition,
Matrix2 weights,
int weightRowIndex) |
boolean |
Matrix2.sizeMatches(Matrix2 m) |
| Modifier and Type | Method and Description |
|---|---|
Matrix2 |
ClusterLearner.getFinalLambdas() |
| Modifier and Type | Method and Description |
|---|---|
protected void |
ClusterLearner.constructEdges(MappedGraph graph,
Instance pair,
Matrix2 lambdas) |
static void |
TUI.constructEdgesUsingTrainedClusterer(MappedGraph graph,
Instance instPair,
Matrix2 lambdas,
Pipe instancePipe) |
protected DenseVector |
ClusterLearner.getDenseVectorOf(int ri,
Matrix2 matrix) |
void |
ClusterLearner.getUnNormalizedScores(Matrix2 lambdas,
FeatureVector fv,
double[] scores) |
protected void |
ClusterLearner.testCurrentModel(Set testDocInstances,
Matrix2 lambdas) |
| Modifier and Type | Method and Description |
|---|---|
protected DenseVector |
SGDLearner.getDenseVectorOf(int ri,
Matrix2 matrix) |
void |
CorefClusterAdv.getUnNormalizedScores(Matrix2 lambdas,
FeatureVector fv,
double[] scores) |
| Constructor and Description |
|---|
CorefClusterAdv(double threshold,
Matrix2 sgdParameters,
int numSGDFeatures) |
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