Uses of Interface opennlp.tools.ml.model.SequenceClassificationModel (Apache OpenNLP Tools 2.5.9 API)
Description: use: package: opennlp.tools.ml.model, interface: SequenceClassificationModel

# Uses of Interface
opennlp.tools.ml.model.SequenceClassificationModel

Packages that use SequenceClassificationModel
Package
Description
opennlp.tools.chunker
Package related to finding non-recursive syntactic annotation such as noun phrase chunks.
opennlp.tools.lemmatizer
Package related to the lemmatizer functionality.
opennlp.tools.ml
Package related to Machine Learning (ML) features of OpenNLP, the related ML models, and trainers.
opennlp.tools.namefind
Package related to finding proper names and numeric amounts.
opennlp.tools.postag
Package related to part-of-speech tagging.

- ## Uses of SequenceClassificationModel in opennlp.tools.chunker

  Methods in opennlp.tools.chunker that return SequenceClassificationModel
  Modifier and Type
  Method
  Description
  `SequenceClassificationModel`
  ChunkerModel.`getChunkerSequenceModel()`
  Constructors in opennlp.tools.chunker with parameters of type SequenceClassificationModel
  Modifier
  Constructor
  Description
  ``
  `ChunkerModel(String languageCode, SequenceClassificationModel chunkerModel, Map<String,String> manifestInfoEntries, ChunkerFactory factory)`
  Initializes a `ChunkerModel` instance via given parameters.

- ## Uses of SequenceClassificationModel in opennlp.tools.lemmatizer

  Methods in opennlp.tools.lemmatizer that return SequenceClassificationModel
  Modifier and Type
  Method
  Description
  `SequenceClassificationModel`
  LemmatizerModel.`getLemmatizerSequenceModel()`
  Constructors in opennlp.tools.lemmatizer with parameters of type SequenceClassificationModel
  Modifier
  Constructor
  Description
  ``
  `LemmatizerModel(String languageCode, SequenceClassificationModel lemmatizerModel, Map<String,String> manifestInfoEntries, LemmatizerFactory factory)`
  Initializes a `LemmatizerModel` instance via given parameters.

- ## Uses of SequenceClassificationModel in opennlp.tools.ml

  Classes in opennlp.tools.ml that implement SequenceClassificationModel
  Modifier and Type
  Class
  Description
  `class`
  `BeamSearch`
  Performs k-best search over a sequence.
  Methods in opennlp.tools.ml that return SequenceClassificationModel
  Modifier and Type
  Method
  Description
  `<T> SequenceClassificationModel`
  SequenceTrainer.`train(SequenceStream<T> events)`
  Trains a `SequenceClassificationModel` for given `events`.

- ## Uses of SequenceClassificationModel in opennlp.tools.namefind

  Fields in opennlp.tools.namefind declared as SequenceClassificationModel
  Modifier and Type
  Field
  Description
  `protected final SequenceClassificationModel`
  NameFinderME.`model`
  Methods in opennlp.tools.namefind that return SequenceClassificationModel
  Modifier and Type
  Method
  Description
  `SequenceClassificationModel`
  TokenNameFinderModel.`getNameFinderSequenceModel()`
  Constructors in opennlp.tools.namefind with parameters of type SequenceClassificationModel
  Modifier
  Constructor
  Description
  ``
  `TokenNameFinderModel(String languageCode, SequenceClassificationModel nameFinderModel, byte[] generatorDescriptor, Map<String,Object> resources, Map<String,String> manifestInfoEntries, SequenceCodec<String> seqCodec, TokenNameFinderFactory factory)`
  Initializes a `TokenNameFinderModel` instance via given parameters.

- ## Uses of SequenceClassificationModel in opennlp.tools.postag

  Methods in opennlp.tools.postag that return SequenceClassificationModel
  Modifier and Type
  Method
  Description
  `SequenceClassificationModel`
  POSModel.`getPosSequenceModel()`
  Constructors in opennlp.tools.postag with parameters of type SequenceClassificationModel
  Modifier
  Constructor
  Description
  ``
  `POSModel(String languageCode, SequenceClassificationModel posModel, Map<String,String> manifestInfoEntries, POSTaggerFactory posFactory)`
  Initializes a `POSModel` instance via given parameters.