Uses of Interface
opennlp.tools.util.featuregen.AdaptiveFeatureGenerator

Packages that use AdaptiveFeatureGenerator

Package	Description
opennlp.tools.namefind	Package related to finding proper names and numeric amounts.
opennlp.tools.util.featuregen	This package contains classes for generating sequence features.

Uses of AdaptiveFeatureGenerator in opennlp.tools.namefind

Methods in opennlp.tools.namefind that return AdaptiveFeatureGenerator

Modifier and Type	Method and Description
AdaptiveFeatureGenerator	TokenNameFinderModel.createFeatureGenerators() Deprecated. use TokenNameFinderFactory.createFeatureGenerators instead!
AdaptiveFeatureGenerator	TokenNameFinderFactory.createFeatureGenerators() Creates the AdaptiveFeatureGenerator.

Methods in opennlp.tools.namefind with parameters of type AdaptiveFeatureGenerator

Modifier and Type	Method and Description
void	NameContextGenerator.addFeatureGenerator(AdaptiveFeatureGenerator generator) Adds a feature generator to this set of feature generators.
void	DefaultNameContextGenerator.addFeatureGenerator(AdaptiveFeatureGenerator generator)
static TokenNameFinderModel	NameFinderME.train(String languageCode, String type, ObjectStream<NameSample> samples, TrainingParameters trainParams, AdaptiveFeatureGenerator generator, Map<String,Object> resources) Deprecated. use NameFinderME.train(String, String, ObjectStream, TrainingParameters, TokenNameFinderFactory) instead.

Constructors in opennlp.tools.namefind with parameters of type AdaptiveFeatureGenerator

Constructor and Description
DefaultNameContextGenerator(AdaptiveFeatureGenerator... featureGenerators) Creates a name context generator with the specified cache size.
NameFinderME(TokenNameFinderModel model, AdaptiveFeatureGenerator generator, int beamSize) Deprecated. the beam size is now configured during training time in the trainer parameter file via beamSearch.beamSize
NameFinderME(TokenNameFinderModel model, AdaptiveFeatureGenerator generator, int beamSize, SequenceValidator<String> sequenceValidator) Deprecated. the beam size is now configured during training time in the trainer parameter file via beamSearch.beamSize
NameSampleSequenceStream(ObjectStream<NameSample> psi, AdaptiveFeatureGenerator featureGen)
NameSampleSequenceStream(ObjectStream<NameSample> psi, AdaptiveFeatureGenerator featureGen, boolean useOutcomes)

Uses of AdaptiveFeatureGenerator in opennlp.tools.util.featuregen

Classes in opennlp.tools.util.featuregen that implement AdaptiveFeatureGenerator

Modifier and Type	Class and Description
class	AdditionalContextFeatureGenerator The AdditionalContextFeatureGenerator generates the context from the passed in additional context.
class	AggregatedFeatureGenerator The AggregatedFeatureGenerator aggregates a set of AdaptiveFeatureGenerators and calls them to generate the features.
class	BigramNameFeatureGenerator
class	BrownBigramFeatureGenerator Generates Brown cluster features for token bigrams.
class	BrownTokenClassFeatureGenerator Generates Brown cluster features for current token and token class.
class	BrownTokenFeatureGenerator Generates Brown cluster features for current token.
class	CachedFeatureGenerator Caches features of the aggregated AdaptiveFeatureGenerators.
class	CharacterNgramFeatureGenerator The CharacterNgramFeatureGenerator uses character ngrams to generate features about each token.
class	CustomFeatureGenerator
class	DictionaryFeatureGenerator The DictionaryFeatureGenerator uses the DictionaryNameFinder to generated features for detected names based on the InSpanGenerator.
class	DocumentBeginFeatureGenerator
class	FastTokenClassFeatureGenerator Deprecated. Use TokenClassFeatureGenerator instead!
class	FeatureGeneratorAdapter This class provides empty implementations of some of the optional methods in AdditionalContextFeatureGenerator to make implementing feature generators easier.
class	InSpanGenerator Generates features if the tokens are recognized by the provided TokenNameFinder.
class	OutcomePriorFeatureGenerator The definition feature maps the underlying distribution of outcomes.
class	PrefixFeatureGenerator
class	PreviousMapFeatureGenerator This FeatureGeneratorAdapter generates features indicating the outcome associated with a previously occuring word.
class	PreviousTwoMapFeatureGenerator This FeatureGeneratorAdapter generates features indicating the outcome associated with two previously occuring words.
class	SentenceFeatureGenerator This feature generator creates sentence begin and end features.
class	SuffixFeatureGenerator
class	TokenClassFeatureGenerator Generates features for different for the class of the token.
class	TokenFeatureGenerator Generates a feature which contains the token itself.
class	TokenPatternFeatureGenerator Partitions tokens into sub-tokens based on character classes and generates class features for each of the sub-tokens and combinations of those sub-tokens.
class	TrigramNameFeatureGenerator Adds trigram features based on tokens and token classes.
class	WindowFeatureGenerator Generates previous and next features for a given AdaptiveFeatureGenerator.
class	WordClusterFeatureGenerator

Methods in opennlp.tools.util.featuregen that return AdaptiveFeatureGenerator

Modifier and Type	Method and Description
static AdaptiveFeatureGenerator	GeneratorFactory.create(InputStream xmlDescriptorIn, FeatureGeneratorResourceProvider resourceManager) Creates an AdaptiveFeatureGenerator from an provided XML descriptor.
AdaptiveFeatureGenerator	FeatureGeneratorFactory.createFeatureGenerator(FeatureGeneratorResourceProvider resourceProvider) Deprecated.

Methods in opennlp.tools.util.featuregen that return types with arguments of type AdaptiveFeatureGenerator

Modifier and Type	Method and Description
Collection<AdaptiveFeatureGenerator>	AggregatedFeatureGenerator.getGenerators() Retrieves a Collections of all aggregated AdaptiveFeatureGenerators.

Constructors in opennlp.tools.util.featuregen with parameters of type AdaptiveFeatureGenerator

Constructor and Description
AggregatedFeatureGenerator(AdaptiveFeatureGenerator... generators) Initializes the current instance.
CachedFeatureGenerator(AdaptiveFeatureGenerator... generators)
WindowFeatureGenerator(AdaptiveFeatureGenerator... generators) Initializes the current instance with the given parameters.
WindowFeatureGenerator(AdaptiveFeatureGenerator generator) Initializes the current instance.
WindowFeatureGenerator(AdaptiveFeatureGenerator generator, int prevWindowSize, int nextWindowSize) Initializes the current instance with the given parameters.
WindowFeatureGenerator(int prevWindowSize, int nextWindowSize, AdaptiveFeatureGenerator... generators) Initializes the current instance with the given parameters.

Constructor parameters in opennlp.tools.util.featuregen with type arguments of type AdaptiveFeatureGenerator

Constructor and Description
AggregatedFeatureGenerator(Collection<AdaptiveFeatureGenerator> generators)