Deprecated API

Contents

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

Deprecated Interfaces

Interface and Description
opennlp.tools.util.Heap

Deprecated Classes

Class and Description
opennlp.tools.util.ListHeap

Deprecated Fields

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

Deprecated Methods

Method and Description
opennlp.tools.postag.POSTaggerFactory.create(String, Dictionary, TagDictionary)
opennlp.tools.ml.maxent.GISModel.eval(int[], float[], double[], EvalParameters)
opennlp.tools.ml.naivebayes.NaiveBayesModel.eval(int[], float[], double[], EvalParameters, boolean)
opennlp.tools.ml.perceptron.PerceptronModel.eval(int[], float[], double[], EvalParameters, boolean)
opennlp.tools.ml.maxent.quasinewton.QNModel.eval(int[], float[], double[], int, int, double[])
opennlp.tools.namefind.NameFinderEventStream.generateOutcomes(Span[], String, int) use the BioCodec implementation of the SequenceValidator instead!
opennlp.tools.chunker.ChunkerModel.getChunkerModel() use getChunkerSequenceModel instead. This method will be removed soon.
opennlp.tools.parser.ChunkContextGenerator.getContext(int, String[], String[], Object[])
opennlp.tools.parser.ChunkContextGenerator.getContext(Object)
opennlp.tools.postag.POSTaggerFactory.getDictionary() this will be reduced in visibility and later removed
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.util.TrainingParameters.getSettings() use TrainingParameters.getObjectSettings() instead
opennlp.tools.util.TrainingParameters.getSettings(String) use TrainingParameters.getObjectSettings(String) instead
opennlp.tools.ml.EventModelSequenceTrainer.init(Map<String, String>, Map<String, String>)
opennlp.tools.ml.SequenceTrainer.init(Map<String, String>, Map<String, String>)
opennlp.tools.ml.AbstractTrainer.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.AbstractEventTrainer.isValid()
opennlp.tools.ml.AbstractTrainer.isValid() Use AbstractTrainer.validate() instead.
opennlp.tools.ml.maxent.quasinewton.QNTrainer.isValid()
opennlp.tools.ml.perceptron.PerceptronTrainer.isValid()
opennlp.tools.ml.perceptron.SimplePerceptronSequenceTrainer.isValid()
opennlp.tools.dictionary.serializer.DictionaryEntryPersistor.serialize(OutputStream, Iterator<Entry>) Use DictionaryEntryPersistor.serialize(java.io.OutputStream, java.util.Iterator, boolean) instead
opennlp.tools.postag.POSTaggerFactory.setDictionary(Dictionary)
opennlp.tools.sentdetect.SentenceDetectorME.train(String, ObjectStream<SentenceSample>, boolean, Dictionary) Use SentenceDetectorME.train(String, ObjectStream, SentenceDetectorFactory, TrainingParameters) and pass in af SentenceDetectorFactory.
opennlp.tools.sentdetect.SentenceDetectorME.train(String, ObjectStream<SentenceSample>, boolean, Dictionary, TrainingParameters) Use SentenceDetectorME.train(String, ObjectStream, SentenceDetectorFactory, TrainingParameters) and pass in af SentenceDetectorFactory.

Deprecated Constructors

Constructor and Description
opennlp.tools.ml.model.AbstractModel(Context[], String[], Map<String, Integer>, String[]) this will be removed in 1.8.1, pmap should be private
opennlp.tools.formats.ad.ADNameSampleStream(InputStreamFactory, String, boolean)
opennlp.tools.namefind.DefaultNameContextGenerator() use the other constructor and always provide the feature generators
opennlp.tools.parser.lang.en.HeadRules(String)
opennlp.tools.ml.naivebayes.NaiveBayesModel(Context[], String[], Map<String, Integer>, String[])
opennlp.tools.ml.perceptron.PerceptronModel(Context[], String[], Map<String, Integer>, String[]) this will be removed in 1.8.1, pmap should be private
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.namefind.RegexNameFinder(Pattern[])
opennlp.tools.sentdetect.SDCrossValidator(String) use SDCrossValidator.SDCrossValidator(String, TrainingParameters, SentenceDetectorFactory, SentenceDetectorEvaluationMonitor...) instead and pass in a TrainingParameters object.
opennlp.tools.sentdetect.SDCrossValidator(String, TrainingParameters) Use SDCrossValidator.SDCrossValidator(String, TrainingParameters, SentenceDetectorFactory, SentenceDetectorEvaluationMonitor...) and pass in a SentenceDetectorFactory.
opennlp.tools.sentdetect.SDCrossValidator(String, TrainingParameters, SentenceDetectorEvaluationMonitor...) use SDCrossValidator.SDCrossValidator(String, TrainingParameters, SentenceDetectorFactory, SentenceDetectorEvaluationMonitor...) instead and pass in a TrainingParameters object.
opennlp.tools.sentdetect.SentenceDetectorME(SentenceModel, Factory) Use a SentenceDetectorFactory to extend SentenceDetector functionality.
opennlp.tools.sentdetect.SentenceModel(String, MaxentModel, boolean, Dictionary, char[]) Use SentenceModel.SentenceModel(String, MaxentModel, Map, SentenceDetectorFactory) instead and pass in a SentenceDetectorFactory
opennlp.tools.sentdetect.SentenceModel(String, MaxentModel, boolean, Dictionary, char[], Map<String, String>) Use SentenceModel.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.TrainingParameters(Map<String, String>)

Deprecated Enum Constants

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