Package | Description |
---|---|
org.apache.ctakes.ytex.kernel | |
org.apache.ctakes.ytex.kernel.dao | |
org.apache.ctakes.ytex.kernel.metric | |
org.apache.ctakes.ytex.kernel.pagerank |
Modifier and Type | Method and Description |
---|---|
void |
IntrinsicInfoContentEvaluator.evaluateIntrinsicInfoContent(String conceptGraphName,
String conceptGraphDir,
ConceptGraph cg) |
void |
IntrinsicInfoContentEvaluatorImpl.evaluateIntrinsicInfoContent(String conceptGraphName,
String conceptGraphDir,
ConceptGraph cg) |
void |
CytoscapeHelper.exportNetwork(ConceptGraph cg,
String corpusName,
String conceptGraphName,
String conceptSetName,
int leafChildrenDepth,
BufferedWriter networkData,
BufferedWriter nodeData) |
void |
CytoscapeHelperImpl.exportNetwork(ConceptGraph cg,
String corpusName,
String conceptGraphName,
String conceptSetName,
int leafChildrenDepth,
BufferedWriter networkData,
BufferedWriter nodeData) |
Set<String> |
IntrinsicInfoContentEvaluatorImpl.getAllLeaves(ConceptGraph cg,
BufferedWriter w) |
void |
ImputedFeatureEvaluatorImpl.storeChildConcepts(List<FeatureRank> listRawRanks,
ImputedFeatureEvaluatorImpl.Parameters params,
String label,
int foldId,
ConceptGraph cg,
boolean bAll)
save the children of the 'top' parent concepts.
|
Modifier and Type | Method and Description |
---|---|
ConceptGraph |
ConceptDao.getConceptGraph(String name)
retrieve an existing concept graph.
|
ConceptGraph |
ConceptDaoImpl.getConceptGraph(String name) |
Modifier and Type | Method and Description |
---|---|
ConceptGraph |
ConceptSimilarityService.getConceptGraph() |
ConceptGraph |
ConceptSimilarityServiceImpl.getConceptGraph() |
Modifier and Type | Method and Description |
---|---|
double[] |
PageRankServiceImpl.pagerankIter(double[] currentScores,
Map<Integer,Double> dampingVector,
ConceptGraph cg,
double dampingFactor,
double N) |
double[] |
PageRankServiceImpl.pagerankIter(double[] currentScores,
Map<Integer,Double> dampingVector,
ConceptGraph cg,
double dampingFactor,
double N,
Set<Integer> activeNodes) |
Map<Integer,Double> |
PageRankServiceImpl.pagerankIter(Map<Integer,Double> currentScores,
Map<Integer,Double> dampingVector,
ConceptGraph cg,
double dampingFactor,
double N)
perform one iteration of pagerank
|
double[] |
PageRankService.rank(Map<String,Double> dampingVector,
ConceptGraph cg)
call rank() with default values for iter (30), threshold(1e-4),
dampingFactor(0.85)
|
double[] |
PageRankServiceImpl.rank(Map<String,Double> dampingVector,
ConceptGraph cg) |
double[] |
PageRankService.rank(Map<String,Double> dampingVector,
ConceptGraph cg,
int iter,
double threshold,
double dampingFactor)
PageRank for conceptGraph.
|
double[] |
PageRankServiceImpl.rank(Map<String,Double> dampingVector,
ConceptGraph cg,
int iter,
double threshold,
double dampingFactor) |
double[] |
PageRankService.rank2(Map<Integer,Double> dampingVector,
ConceptGraph cg,
int iter,
double threshold,
double dampingFactor) |
double[] |
PageRankServiceImpl.rank2(Map<Integer,Double> dampingVector,
ConceptGraph cg,
int iter,
double threshold,
double dampingFactor) |
double |
PageRankService.sim(String concept1,
String concept2,
ConceptGraph cg,
int iter,
double threshold,
double dampingFactor) |
double |
PageRankServiceImpl.sim(String concept1,
String concept2,
ConceptGraph cg,
int iter,
double threshold,
double dampingFactor)
compute similarity using personalized page rank, as documented in Exploring Knowledge Bases for Similarity
|
Copyright © 2012-2017 The Apache Software Foundation. All Rights Reserved.