| Modifier and Type | Method and Description |
|---|---|
static CleartkProcessingException |
CleartkProcessingException.multipleExceptions(List<? extends Throwable> causes) |
static CleartkProcessingException |
CleartkProcessingException.noInstanceOutcome(List<?> features) |
static CleartkProcessingException |
CleartkProcessingException.unsupportedOperationSetParameter(Throwable cause,
Object object,
String methodName,
String paramName,
Object paramValue) |
| Modifier and Type | Method and Description |
|---|---|
OUTCOME_TYPE |
Classifier.classify(List<Feature> features)
Classifies a list of features.
|
protected List<OUTCOME_TYPE> |
CleartkSequenceAnnotator.classify(List<Instance<OUTCOME_TYPE>> instances) |
List<OUTCOME_TYPE> |
SequenceClassifier.classify(List<List<Feature>> features)
Classifies a sequence of feature lists.
|
void |
SequenceDataWriter.finish() |
void |
DataWriter.finish() |
Map<OUTCOME_TYPE,Double> |
Classifier.score(List<Feature> features)
Classify a list of features, and return the scores for each of the outcomes
|
List<Map<OUTCOME_TYPE,Double>> |
SequenceClassifier.score(List<List<Feature>> features)
Classify a sequence of feature lists, and return the scores for each of the outcomes for each
feature list.
|
void |
DataWriter.write(Instance<OUTCOME_TYPE> instance) |
void |
SequenceDataWriter.write(List<Instance<OUTCOME_TYPE>> instances) |
| Modifier and Type | Method and Description |
|---|---|
OUTCOME_TYPE |
SingleOutcomeClassifier.classify(List<Feature> features) |
void |
OutcomeOnlyDataWriter.finish() |
void |
OutcomeOnlyDataWriter.write(Instance<OUTCOME_TYPE> instance) |
| Modifier and Type | Class and Description |
|---|---|
class |
CleartkEncoderException
Copyright (c) 2011, Regents of the University of Colorado All rights reserved. |
| Modifier and Type | Class and Description |
|---|---|
class |
CleartkExtractorException
Copyright (c) 2011, Regents of the University of Colorado All rights reserved. |
| Modifier and Type | Method and Description |
|---|---|
void |
InstanceDataWriter.finish() |
void |
InstanceDataWriter.write(Instance<OUTCOME_T> instance) |
| Modifier and Type | Method and Description |
|---|---|
void |
EncodingDirectoryDataWriter.finish() |
void |
DirectoryDataWriter.finish()
Basic implementation of
DataWriter.finish() and SequenceDataWriter.finish()
that calls JarClassifierBuilder.saveToTrainingDirectory(File) |
Map<OUTCOME_TYPE,Double> |
Classifier_ImplBase.score(List<Feature> features) |
List<Map<OUTCOME_TYPE,Double>> |
SequenceClassifier_ImplBase.score(List<List<Feature>> features) |
void |
DataWriter_ImplBase.write(Instance<OUTCOME_TYPE> instance) |
void |
SequenceDataWriter_ImplBase.write(List<Instance<OUTCOME_TYPE>> instances) |
protected abstract void |
SequenceDataWriter_ImplBase.writeEncoded(ENCODED_FEATURES_TYPE features,
ENCODED_OUTCOME_TYPE outcome)
Write the encoded features and encoded outcome to the output directory.
|
protected abstract void |
DataWriter_ImplBase.writeEncoded(ENCODED_FEATURES_TYPE features,
ENCODED_OUTCOME_TYPE outcome)
Write the encoded features and encoded outcome to the output directory.
|
| Modifier and Type | Method and Description |
|---|---|
OUTCOME_TYPE |
GenericLibLinearClassifier.classify(List<Feature> features) |
Map<OUTCOME_TYPE,Double> |
GenericLibLinearClassifier.score(List<Feature> features) |
protected void |
GenericLibLinearDataWriter.writeEncoded(de.bwaldvogel.liblinear.FeatureNode[] features,
Integer outcome) |
| Modifier and Type | Method and Description |
|---|---|
List<OUTCOME_TYPE> |
ViterbiClassifier.classify(List<List<Feature>> features) |
void |
ViterbiDataWriter.finish() |
List<Map<OUTCOME_TYPE,Double>> |
ViterbiClassifier.score(List<List<Feature>> features) |
List<OUTCOME_TYPE> |
ViterbiClassifier.viterbi(List<List<Feature>> featureLists)
This implementation of Viterbi requires at most stackSize * sequenceLength calls to the
classifier.
|
void |
ViterbiDataWriter.write(List<Instance<OUTCOME_TYPE>> instances) |
Copyright © 2014. All rights reserved.