Uses of Package opennlp.tools.ml.model (Apache OpenNLP Tools 1.9.5 API)
Date: 2026-06-18

# Uses of Package
opennlp.tools.ml.model

- Packages that use opennlp.tools.ml.model
  Package | Description
  --- | ---
  opennlp.tools.chunker | Package related to finding non-recursive syntactic annotation such as noun phrase chunks.
  opennlp.tools.doccat | Package for classifying a document into a category.
  opennlp.tools.langdetect |
  opennlp.tools.lemmatizer | Package related with the lemmatizer tool
  opennlp.tools.ml |
  opennlp.tools.ml.maxent | Provides main functionality of the maxent package including data structures and algorithms for parameter estimation.
  opennlp.tools.ml.maxent.io | Provides the I/O functionality of the maxent package including reading and writing models in several formats.
  opennlp.tools.ml.maxent.quasinewton |
  opennlp.tools.ml.model |
  opennlp.tools.ml.naivebayes |
  opennlp.tools.ml.perceptron |
  opennlp.tools.namefind | Package related to finding proper names and numeric amounts.
  opennlp.tools.parser | Package containing common code for performing full syntactic parsing.
  opennlp.tools.parser.chunking | Package containing code for performing full syntactic parsing using shift/reduce-style decisions.
  opennlp.tools.postag | Package related to part-of-speech tagging.
  opennlp.tools.sentdetect | Package related to identifying sentece boundries.
  opennlp.tools.tokenize | Contains classes related to finding token or words in a string.
  opennlp.tools.util | Package containing utility data structures and algorithms used by multiple other packages.
  opennlp.tools.util.model |

- Classes in opennlp.tools.ml.model used by opennlp.tools.chunker
  Class and Description
  AbstractModel
  Event The context of a decision point during training.
  MaxentModel Interface for maximum entropy models.
  Sequence Class which models a sequence.
  SequenceClassificationModel A classification model that can label an input sequence.
  SequenceStream Interface for streams of sequences used to train sequence models.

- Classes in opennlp.tools.ml.model used by opennlp.tools.doccat
  Class and Description
  Event The context of a decision point during training.
  MaxentModel Interface for maximum entropy models.

- Classes in opennlp.tools.ml.model used by opennlp.tools.langdetect
  Class and Description
  Event The context of a decision point during training.
  MaxentModel Interface for maximum entropy models.

- Classes in opennlp.tools.ml.model used by opennlp.tools.lemmatizer
  Class and Description
  AbstractModel
  Event The context of a decision point during training.
  MaxentModel Interface for maximum entropy models.
  Sequence Class which models a sequence.
  SequenceClassificationModel A classification model that can label an input sequence.
  SequenceStream Interface for streams of sequences used to train sequence models.

- Classes in opennlp.tools.ml.model used by opennlp.tools.ml
  Class and Description
  Context Class which associates a real valued parameter or expected value with a particular contextual predicate or feature.
  DataIndexer Object which compresses events in memory and performs feature selection.
  Event The context of a decision point during training.
  MaxentModel Interface for maximum entropy models.
  SequenceClassificationModel A classification model that can label an input sequence.
  SequenceStream Interface for streams of sequences used to train sequence models.

- Classes in opennlp.tools.ml.model used by opennlp.tools.ml.maxent
  Class and Description
  AbstractModel
  Context Class which associates a real valued parameter or expected value with a particular contextual predicate or feature.
  DataIndexer Object which compresses events in memory and performs feature selection.
  EvalParameters This class encapsulates the varibales used in producing probabilities from a model and facilitaes passing these variables to the eval method.
  Event The context of a decision point during training.
  MaxentModel Interface for maximum entropy models.
  Prior This interface allows one to implement a prior distribution for use in maximum entropy model training.

- Classes in opennlp.tools.ml.model used by opennlp.tools.ml.maxent.io
  Class and Description
  AbstractModel
  AbstractModelReader
  AbstractModelWriter
  ComparablePredicate A maxent predicate representation which we can use to sort based on the outcomes.
  Context Class which associates a real valued parameter or expected value with a particular contextual predicate or feature.
  DataReader

- Classes in opennlp.tools.ml.model used by opennlp.tools.ml.maxent.quasinewton
  Class and Description
  AbstractModel
  Context Class which associates a real valued parameter or expected value with a particular contextual predicate or feature.
  DataIndexer Object which compresses events in memory and performs feature selection.
  MaxentModel Interface for maximum entropy models.

- Classes in opennlp.tools.ml.model used by opennlp.tools.ml.model
  Class and Description
  AbstractDataIndexer Abstract class for collecting event and context counts used in training.
  AbstractModel
  AbstractModel.ModelType
  AbstractModelReader
  AbstractModelWriter
  ComparableEvent A maxent event representation which we can use to sort based on the predicates indexes contained in the events.
  ComparablePredicate A maxent predicate representation which we can use to sort based on the outcomes.
  Context Class which associates a real valued parameter or expected value with a particular contextual predicate or feature.
  DataIndexer Object which compresses events in memory and performs feature selection.
  DataReader
  EvalParameters This class encapsulates the varibales used in producing probabilities from a model and facilitaes passing these variables to the eval method.
  Event The context of a decision point during training.
  FileEventStream Class for using a file of events as an event stream.
  MaxentModel Interface for maximum entropy models.
  OnePassDataIndexer An indexer for maxent model data which handles cutoffs for uncommon contextual predicates and provides a unique integer index for each of the predicates.
  Prior This interface allows one to implement a prior distribution for use in maximum entropy model training.
  Sequence Class which models a sequence.
  SequenceStream Interface for streams of sequences used to train sequence models.

- Classes in opennlp.tools.ml.model used by opennlp.tools.ml.naivebayes
  Class and Description
  AbstractModel
  AbstractModelReader
  AbstractModelWriter
  ComparablePredicate A maxent predicate representation which we can use to sort based on the outcomes.
  Context Class which associates a real valued parameter or expected value with a particular contextual predicate or feature.
  DataIndexer Object which compresses events in memory and performs feature selection.
  DataReader
  EvalParameters This class encapsulates the varibales used in producing probabilities from a model and facilitaes passing these variables to the eval method.
  MaxentModel Interface for maximum entropy models.

- Classes in opennlp.tools.ml.model used by opennlp.tools.ml.perceptron
  Class and Description
  AbstractModel
  AbstractModelReader
  AbstractModelWriter
  ComparablePredicate A maxent predicate representation which we can use to sort based on the outcomes.
  Context Class which associates a real valued parameter or expected value with a particular contextual predicate or feature.
  DataIndexer Object which compresses events in memory and performs feature selection.
  DataReader
  EvalParameters This class encapsulates the varibales used in producing probabilities from a model and facilitaes passing these variables to the eval method.
  MaxentModel Interface for maximum entropy models.
  SequenceStream Interface for streams of sequences used to train sequence models.

- Classes in opennlp.tools.ml.model used by opennlp.tools.namefind
  Class and Description
  AbstractModel
  Event The context of a decision point during training.
  MaxentModel Interface for maximum entropy models.
  Sequence Class which models a sequence.
  SequenceClassificationModel A classification model that can label an input sequence.
  SequenceStream Interface for streams of sequences used to train sequence models.

- Classes in opennlp.tools.ml.model used by opennlp.tools.parser
  Class and Description
  Event The context of a decision point during training.
  MaxentModel Interface for maximum entropy models.

- Classes in opennlp.tools.ml.model used by opennlp.tools.parser.chunking
  Class and Description
  Event The context of a decision point during training.

- Classes in opennlp.tools.ml.model used by opennlp.tools.postag
  Class and Description
  AbstractModel
  Event The context of a decision point during training.
  MaxentModel Interface for maximum entropy models.
  Sequence Class which models a sequence.
  SequenceClassificationModel A classification model that can label an input sequence.
  SequenceStream Interface for streams of sequences used to train sequence models.

- Classes in opennlp.tools.ml.model used by opennlp.tools.sentdetect
  Class and Description
  Event The context of a decision point during training.
  MaxentModel Interface for maximum entropy models.

- Classes in opennlp.tools.ml.model used by opennlp.tools.tokenize
  Class and Description
  Event The context of a decision point during training.
  MaxentModel Interface for maximum entropy models.

- Classes in opennlp.tools.ml.model used by opennlp.tools.util
  Class and Description
  Event The context of a decision point during training.

- Classes in opennlp.tools.ml.model used by opennlp.tools.util.model
  Class and Description
  AbstractModel
  MaxentModel Interface for maximum entropy models.

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