Modifier and Type | Method and Description |
---|---|
static <OUTCOME_TYPE> |
Instances.toInstances(List<OUTCOME_TYPE> outcomes,
List<List<Feature>> featureLists)
Create a list of Instances from a list of outcomes and a list of feature-lists.
|
Modifier and Type | Method and Description |
---|---|
void |
DataWriter.write(Instance<OUTCOME_TYPE> instance) |
Modifier and Type | Method and Description |
---|---|
protected List<OUTCOME_TYPE> |
CleartkSequenceAnnotator.classify(List<Instance<OUTCOME_TYPE>> instances) |
void |
SequenceDataWriter.write(List<Instance<OUTCOME_TYPE>> instances) |
Modifier and Type | Method and Description |
---|---|
void |
OutcomeOnlyDataWriter.write(Instance<OUTCOME_TYPE> instance) |
Modifier and Type | Method and Description |
---|---|
Instance<OUTCOME_T> |
FeatureSelectionExtractor.transform(Instance<OUTCOME_T> instance) |
Modifier and Type | Method and Description |
---|---|
Instance<OUTCOME_T> |
FeatureSelectionExtractor.transform(Instance<OUTCOME_T> instance) |
Modifier and Type | Method and Description |
---|---|
void |
MutualInformationFeatureSelectionExtractor.train(Iterable<Instance<OUTCOME_T>> instances) |
Modifier and Type | Class and Description |
---|---|
static class |
InstanceStream.Terminator<OUTCOME_T> |
Modifier and Type | Method and Description |
---|---|
Instance<OUTCOME_T> |
InstanceStream.Iterator.next() |
Instance<OUTCOME_T> |
TrainableExtractor.transform(Instance<OUTCOME_T> instance)
Transforms all features handled by this extractor.
|
Instance<OUTCOME_T> |
OneToOneTrainableExtractor_ImplBase.transform(Instance<OUTCOME_T> instance) |
Modifier and Type | Method and Description |
---|---|
Iterator<Instance<OUTCOME_T>> |
InstanceStream.iterator() |
static <OUTCOME_T> |
InstanceStream.loadFromDirectory(File dir) |
static <OUTCOME_T> |
InstanceStream.loadFromURI(URI uri) |
Modifier and Type | Method and Description |
---|---|
protected List<TransformableFeature> |
TrainableExtractor_ImplBase.selectTransformableFeatures(Instance<OUTCOME_T> instance)
Recursively look through all features in an instance to find the features this extractor is
responsible for extracting
|
Instance<OUTCOME_T> |
TrainableExtractor.transform(Instance<OUTCOME_T> instance)
Transforms all features handled by this extractor.
|
Instance<OUTCOME_T> |
OneToOneTrainableExtractor_ImplBase.transform(Instance<OUTCOME_T> instance) |
void |
InstanceDataWriter.write(Instance<OUTCOME_T> instance) |
Modifier and Type | Method and Description |
---|---|
void |
TrainableExtractor.train(Iterable<Instance<OUTCOME_T>> instances)
In the prototypical case, train takes a collection of instances and computes statistics over
the values such as computing mean, standard deviation, TF*IDF, etc...
|
Modifier and Type | Method and Description |
---|---|
Instance<OUTCOME_T> |
CentroidTfidfSimilarityExtractor.transform(Instance<OUTCOME_T> instance) |
Modifier and Type | Method and Description |
---|---|
Instance<OUTCOME_T> |
CentroidTfidfSimilarityExtractor.transform(Instance<OUTCOME_T> instance) |
Modifier and Type | Method and Description |
---|---|
protected Map<String,Double> |
CentroidTfidfSimilarityExtractor.computeCentroid(Iterable<Instance<OUTCOME_T>> instances,
TfidfExtractor.IDFMap idfs) |
protected TfidfExtractor.IDFMap |
TfidfExtractor.createIdfMap(Iterable<Instance<OUTCOME_T>> instances) |
void |
ZeroMeanUnitStddevExtractor.train(Iterable<Instance<OUTCOME_T>> instances) |
void |
TfidfExtractor.train(Iterable<Instance<OUTCOME_T>> instances) |
void |
MinMaxNormalizationExtractor.train(Iterable<Instance<OUTCOME_T>> instances) |
void |
CentroidTfidfSimilarityExtractor.train(Iterable<Instance<OUTCOME_T>> instances) |
Modifier and Type | Method and Description |
---|---|
void |
DataWriter_ImplBase.write(Instance<OUTCOME_TYPE> instance) |
Modifier and Type | Method and Description |
---|---|
void |
SequenceDataWriter_ImplBase.write(List<Instance<OUTCOME_TYPE>> instances) |
Modifier and Type | Method and Description |
---|---|
void |
MaxentDataWriter_ImplBase.write(Instance<OUTCOME_TYPE> instance) |
Modifier and Type | Class and Description |
---|---|
class |
QidInstance<OUTCOME>
Copyright (c) 2011, Regents of the University of Colorado All rights reserved. |
Modifier and Type | Method and Description |
---|---|
void |
SvmLightRankDataWriter.write(Instance<Double> instance) |
Modifier and Type | Field and Description |
---|---|
List<Instance<T>> |
PublicFieldSequenceDataWriter.instances |
List<Instance<T>> |
PublicFieldDataWriter.instances |
Modifier and Type | Method and Description |
---|---|
static <T> Instance<T> |
InstanceFactory.createInstance(T outcome,
Object... featureData) |
static <T> Instance<T> |
InstanceFactory.createInstance(T outcome,
String featureData) |
Modifier and Type | Method and Description |
---|---|
static List<Instance<String>> |
PublicFieldSequenceDataWriter.StringFactory.collectInstances(AnalysisEngine engine,
JCas jCas) |
static List<Instance<Boolean>> |
PublicFieldSequenceDataWriter.BooleanFactory.collectInstances(AnalysisEngine engine,
JCas jCas) |
static List<Instance<String>> |
PublicFieldDataWriter.StringFactory.collectInstances(AnalysisEngine engine,
JCas jCas) |
static List<Instance<Boolean>> |
PublicFieldDataWriter.BooleanFactory.collectInstances(AnalysisEngine engine,
JCas jCas) |
Modifier and Type | Method and Description |
---|---|
void |
PublicFieldDataWriter.write(Instance<T> instance) |
Modifier and Type | Method and Description |
---|---|
void |
PublicFieldSequenceDataWriter.write(List<Instance<T>> instance) |
Modifier and Type | Method and Description |
---|---|
void |
ViterbiDataWriter.write(List<Instance<OUTCOME_TYPE>> instances) |
Modifier and Type | Method and Description |
---|---|
void |
SummarizationDataWriter.write(Instance<Boolean> instance) |
Copyright © 2014. All rights reserved.