Uses of Package
opennlp.tools.ml.model
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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 Package related to predicting languages from samples of text.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.ml.maxent Package related to ML by means of the Maximum Entropy (ME) algorithm.opennlp.tools.ml.maxent.io Package related to the I/O functionality of the maxent package including reading and writing models in several formats.opennlp.tools.ml.maxent.quasinewton Package related to ML by means of the Quasi Newton (QN) algorithm.opennlp.tools.ml.model Package related to ML models and feature selection techniques.opennlp.tools.ml.naivebayes Package related to ML by means of the Naive Bayes algorithm.opennlp.tools.ml.perceptron Package related to ML by means of the perceptron algorithm.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.parser.treeinsert Package containing experimental code for performing full syntactic parsing using attachment decisions.opennlp.tools.postag Package related to part-of-speech tagging.opennlp.tools.sentdetect Package related to identifying sentence boundaries.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 Description AbstractModel A basicMaxentModel
implementation.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 inputSequence
.SequenceStream Interface for streams ofsequences
used to train sequence models. -
Classes in opennlp.tools.ml.model used by opennlp.tools.doccat Class 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 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 Description AbstractModel A basicMaxentModel
implementation.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 inputSequence
.SequenceStream Interface for streams ofsequences
used to train sequence models. -
Classes in opennlp.tools.ml.model used by opennlp.tools.ml Class Description Context Class which associates a real valued parameter or expected value with a particular contextual predicate or feature.DataIndexer Represents an indexer 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 inputSequence
.SequenceStream Interface for streams ofsequences
used to train sequence models. -
Classes in opennlp.tools.ml.model used by opennlp.tools.ml.maxent Class Description AbstractModel A basicMaxentModel
implementation.Context Class which associates a real valued parameter or expected value with a particular contextual predicate or feature.DataIndexer Represents an indexer which compresses events in memory and performs feature selection.EvalParameters This class encapsulates the variables used in producing probabilities from a model and facilitates 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 Description AbstractModel A basicMaxentModel
implementation.AbstractModelReader An abstract, basic implementation of a model reader.AbstractModelWriter An abstract, basic implementation of a model writer.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 Describes generic ways to read data from aDataInputStream
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Classes in opennlp.tools.ml.model used by opennlp.tools.ml.maxent.quasinewton Class Description AbstractModel A basicMaxentModel
implementation.Context Class which associates a real valued parameter or expected value with a particular contextual predicate or feature.DataIndexer Represents an indexer 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 Description AbstractDataIndexer AbstractDataIndexer
implementation for collecting event and context counts used in training.AbstractModel A basicMaxentModel
implementation.AbstractModel.ModelType AbstractModelReader An abstract, basic implementation of a model reader.AbstractModelWriter An abstract, basic implementation of a model writer.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 Represents an indexer which compresses events in memory and performs feature selection.DataReader Describes generic ways to read data from aDataInputStream
.EvalParameters This class encapsulates the variables used in producing probabilities from a model and facilitates passing these variables to the eval method.Event The context of a decision point during training.FileEventStream Class for using a file ofevents
as anevent stream
.MaxentModel Interface for maximum entropy models.OnePassDataIndexer ADataIndexer
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 ofsequences
used to train sequence models. -
Classes in opennlp.tools.ml.model used by opennlp.tools.ml.naivebayes Class Description AbstractModel A basicMaxentModel
implementation.AbstractModelReader An abstract, basic implementation of a model reader.AbstractModelWriter An abstract, basic implementation of a model writer.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 Represents an indexer which compresses events in memory and performs feature selection.DataReader Describes generic ways to read data from aDataInputStream
.EvalParameters This class encapsulates the variables used in producing probabilities from a model and facilitates 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 Description AbstractModel A basicMaxentModel
implementation.AbstractModelReader An abstract, basic implementation of a model reader.AbstractModelWriter An abstract, basic implementation of a model writer.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 Represents an indexer which compresses events in memory and performs feature selection.DataReader Describes generic ways to read data from aDataInputStream
.EvalParameters This class encapsulates the variables used in producing probabilities from a model and facilitates passing these variables to the eval method.Event The context of a decision point during training.MaxentModel Interface for maximum entropy models.SequenceStream Interface for streams ofsequences
used to train sequence models. -
Classes in opennlp.tools.ml.model used by opennlp.tools.namefind Class Description AbstractModel A basicMaxentModel
implementation.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 inputSequence
.SequenceStream Interface for streams ofsequences
used to train sequence models. -
Classes in opennlp.tools.ml.model used by opennlp.tools.parser Class 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 Description Event The context of a decision point during training. -
Classes in opennlp.tools.ml.model used by opennlp.tools.parser.treeinsert Class Description Event The context of a decision point during training. -
Classes in opennlp.tools.ml.model used by opennlp.tools.postag Class Description AbstractModel A basicMaxentModel
implementation.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 inputSequence
.SequenceStream Interface for streams ofsequences
used to train sequence models. -
Classes in opennlp.tools.ml.model used by opennlp.tools.sentdetect Class 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 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 Description Event The context of a decision point during training. -
Classes in opennlp.tools.ml.model used by opennlp.tools.util.model Class Description AbstractModel A basicMaxentModel
implementation.MaxentModel Interface for maximum entropy models.