Package | Description |
---|---|
de.unibi.techfak.scie.classifiers | |
de.unibi.techfak.scie.classifiers.annotators | |
de.unibi.techfak.scie.classifiers.data |
Modifier and Type | Method and Description |
---|---|
ClassificationResult |
LibLinearClassifier.classify(DataPoint data)
Classify the given DataPoint.
|
ClassificationResult |
Classifier.classify(DataPoint data)
Classify the given DataPoint.
|
Modifier and Type | Method and Description |
---|---|
ClassificationResult |
SlotCandidate.getResult() |
Modifier and Type | Method and Description |
---|---|
abstract RelationDataPoint<C> |
RelationAnnotator.createDataPoint(C core,
ClassificationResult coreClassification,
SlotCandidate[] slotCandidates,
org.apache.uima.jcas.JCas jcas)
This method should create a RelationDataPoint given a core instance,
a core classification and Candidates for all slots (note that the
candidates might be null).
|
abstract R |
RelationAnnotator.createRelationObject(C core,
ClassificationResult coreClassification,
SlotCandidate[] slots,
org.apache.uima.jcas.JCas jcas)
This is only needed to create an empty relation object and to add
relation-specific information.
|
Constructor and Description |
---|
SlotCandidate(S annotation,
ClassificationResult result) |
Modifier and Type | Method and Description |
---|---|
ClassificationResult |
RelationDataPoint.getCoreClassification() |
Modifier and Type | Method and Description |
---|---|
abstract RelationDataPoint<C> |
RelationDataPoint.RelationTrainingDataReader.createDataPoint(C core,
ClassificationResult coreClassification,
SlotCandidate[] slotCandidates,
org.apache.uima.jcas.JCas jcas)
This method should create a RelationDataPoint given a core instance,
a core classification and Candidates for all slots (note that the
candidates might be null).
|
Constructor and Description |
---|
RelationDataPoint(C core,
ClassificationResult coreClassification,
SlotCandidate[] slots,
org.apache.uima.jcas.JCas jcas) |
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