Deprecated API

Contents

• Interfaces
• Classes
• Fields
• Methods
• Constructors
• Enum Constants

Interfaces

Interface	Description
opennlp.tools.util.featuregen.ArtifactToSerializerMapper

Classes

Class	Description
opennlp.tools.ml.maxent.quasinewton.ArrayMath
opennlp.tools.util.featuregen.CustomFeatureGenerator

Fields

Field	Description
opennlp.tools.ml.maxent.GISTrainer.OLD_LL_THRESHOLD_PARAM
opennlp.tools.tokenize.TokenizerME.alphaNumeric	As of release 1.5.2, replaced by Factory.getAlphanumeric(String)

Methods

Method	Description
opennlp.tools.chunker.ChunkerModel.getChunkerModel()	use getChunkerSequenceModel instead. This method will be removed soon.
opennlp.tools.cmdline.params.DetailedFMeasureEvaluatorParams.getDetailedF()
opennlp.tools.dictionary.serializer.DictionaryEntryPersistor.serialize(OutputStream, Iterator<Entry>)	Use DictionaryEntryPersistor.serialize(java.io.OutputStream, java.util.Iterator, boolean) instead
opennlp.tools.languagemodel.LanguageModel.calculateProbability(StringList)	use LanguageModel.calculateProbability(String...)
opennlp.tools.languagemodel.LanguageModel.predictNextTokens(StringList)	use LanguageModel.predictNextTokens(String...)
opennlp.tools.ml.AbstractEventTrainer.isValid()
opennlp.tools.ml.AbstractTrainer.init(Map<String, String>, Map<String, String>)
opennlp.tools.ml.AbstractTrainer.isValid()	Use AbstractTrainer.validate() instead.
opennlp.tools.ml.EventModelSequenceTrainer.init(Map<String, String>, Map<String, String>)
opennlp.tools.ml.EventTrainer.init(Map<String, String>, Map<String, String>)
opennlp.tools.ml.maxent.quasinewton.QNTrainer.init(Map<String, String>, Map<String, String>)
opennlp.tools.ml.maxent.quasinewton.QNTrainer.isValid()
opennlp.tools.ml.perceptron.PerceptronTrainer.isValid()
opennlp.tools.ml.perceptron.SimplePerceptronSequenceTrainer.isValid()
opennlp.tools.ml.SequenceTrainer.init(Map<String, String>, Map<String, String>)
opennlp.tools.namefind.NameFinderEventStream.generateOutcomes(Span[], String, int)	use the BioCodec implementation of the SequenceValidator instead!
opennlp.tools.parser.ChunkContextGenerator.getContext(Object)
opennlp.tools.postag.POSModel.getPosModel()	use getPosSequenceModel instead. This method will be removed soon. Only required for Parser 1.5.x backward compatibility. Newer models don't need this anymore.
opennlp.tools.postag.POSTaggerFactory.create(String, Dictionary, TagDictionary)
opennlp.tools.postag.POSTaggerFactory.getDictionary()	this will be reduced in visibility and later removed
opennlp.tools.postag.POSTaggerFactory.setDictionary(Dictionary)
opennlp.tools.sentdetect.DefaultEndOfSentenceScanner.getEndOfSentenceCharacters()
opennlp.tools.sentdetect.EndOfSentenceScanner.getEndOfSentenceCharacters()
opennlp.tools.sentdetect.SentenceDetectorME.train(String, ObjectStream<SentenceSample>, boolean, Dictionary, TrainingParameters)	Use SentenceDetectorME.train(String, ObjectStream, SentenceDetectorFactory, TrainingParameters) and pass in af SentenceDetectorFactory.
opennlp.tools.util.featuregen.AggregatedFeatureGeneratorFactory.create(Element, FeatureGeneratorResourceProvider)
opennlp.tools.util.featuregen.BigramNameFeatureGeneratorFactory.create(Element, FeatureGeneratorResourceProvider)
opennlp.tools.util.featuregen.BrownClusterBigramFeatureGeneratorFactory.create(Element, FeatureGeneratorResourceProvider)
opennlp.tools.util.featuregen.BrownClusterTokenClassFeatureGeneratorFactory.create(Element, FeatureGeneratorResourceProvider)
opennlp.tools.util.featuregen.BrownClusterTokenFeatureGeneratorFactory.create(Element, FeatureGeneratorResourceProvider)
opennlp.tools.util.featuregen.CachedFeatureGeneratorFactory.create(Element, FeatureGeneratorResourceProvider)
opennlp.tools.util.featuregen.CharacterNgramFeatureGeneratorFactory.create(Element, FeatureGeneratorResourceProvider)
opennlp.tools.util.featuregen.DefinitionFeatureGeneratorFactory.create(Element, FeatureGeneratorResourceProvider)
opennlp.tools.util.featuregen.DictionaryFeatureGeneratorFactory.create(Element, FeatureGeneratorResourceProvider)
opennlp.tools.util.featuregen.DocumentBeginFeatureGeneratorFactory.create(Element, FeatureGeneratorResourceProvider)
opennlp.tools.util.featuregen.PosTaggerFeatureGeneratorFactory.create(Element, FeatureGeneratorResourceProvider)
opennlp.tools.util.featuregen.POSTaggerNameFeatureGeneratorFactory.create(Element, FeatureGeneratorResourceProvider)
opennlp.tools.util.featuregen.PrefixFeatureGeneratorFactory.create(Element, FeatureGeneratorResourceProvider)
opennlp.tools.util.featuregen.PreviousMapFeatureGeneratorFactory.create(Element, FeatureGeneratorResourceProvider)
opennlp.tools.util.featuregen.SentenceFeatureGeneratorFactory.create(Element, FeatureGeneratorResourceProvider)
opennlp.tools.util.featuregen.SuffixFeatureGeneratorFactory.create(Element, FeatureGeneratorResourceProvider)
opennlp.tools.util.featuregen.TokenClassFeatureGeneratorFactory.create(Element, FeatureGeneratorResourceProvider)
opennlp.tools.util.featuregen.TokenFeatureGeneratorFactory.create(Element, FeatureGeneratorResourceProvider)
opennlp.tools.util.featuregen.TokenPatternFeatureGeneratorFactory.create(Element, FeatureGeneratorResourceProvider)
opennlp.tools.util.featuregen.TrigramNameFeatureGeneratorFactory.create(Element, FeatureGeneratorResourceProvider)
opennlp.tools.util.featuregen.WindowFeatureGeneratorFactory.create(Element, FeatureGeneratorResourceProvider)
opennlp.tools.util.featuregen.WordClusterFeatureGeneratorFactory.create(Element, FeatureGeneratorResourceProvider)
opennlp.tools.util.TrainingParameters.getSettings(String)	use TrainingParameters.getObjectSettings(String) instead

Constructors

Constructor	Description
opennlp.tools.formats.ad.ADNameSampleStream(InputStreamFactory, String, boolean)
opennlp.tools.namefind.DefaultNameContextGenerator()	use the other constructor and always provide the feature generators
opennlp.tools.namefind.RegexNameFinder(Pattern[])
opennlp.tools.parser.lang.en.HeadRules(String)
opennlp.tools.postag.POSTaggerFactory(Dictionary, TagDictionary)	this constructor is here for backward compatibility and is not functional anymore in the training of 1.8.x series models
opennlp.tools.sentdetect.SDCrossValidator(String, TrainingParameters)	Use SDCrossValidator(String, TrainingParameters, SentenceDetectorFactory, SentenceDetectorEvaluationMonitor...) and pass in a SentenceDetectorFactory.
opennlp.tools.sentdetect.SentenceDetectorME(SentenceModel, Factory)	Use a SentenceDetectorFactory to extend SentenceDetector functionality.
opennlp.tools.sentdetect.SentenceModel(String, MaxentModel, boolean, Dictionary, char[], Map<String, String>)	Use SentenceModel(String, MaxentModel, Map, SentenceDetectorFactory) instead and pass in a SentenceDetectorFactory
opennlp.tools.tokenize.SimpleTokenizer()	Use INSTANCE field instead to obtain an instance, constructor will be made private in the future.
opennlp.tools.tokenize.TokenizerME(TokenizerModel, Factory)	use TokenizerFactory to extend the Tokenizer functionality
opennlp.tools.util.featuregen.CachedFeatureGenerator(AdaptiveFeatureGenerator...)
opennlp.tools.util.TrainingParameters(Map<String, String>)

Enum Constants

Enum Constant	Description
opennlp.tools.parser.ParserEventTypeEnum.CHUNK
opennlp.tools.parser.ParserEventTypeEnum.TAG