Uses of Package
opennlp.tools.ml.model
Packages that use opennlp.tools.ml.model
Package
Description
Package related to finding non-recursive syntactic annotation such as noun phrase chunks.
Package for classifying a document into a category.
Package related to predicting languages from samples of text.
Package related to the lemmatizer functionality.
Package related to Machine Learning (ML) features of OpenNLP, the related ML models, and trainers.
Package related to ML by means of the Maximum Entropy (ME) algorithm.
Package related to the I/O functionality of the maxent package including reading
and writing models in several formats.
Package related to ML by means of the Quasi Newton (QN) algorithm.
Package related to ML models and feature selection techniques.
Package related to ML by means of the Naive Bayes algorithm.
Package related to ML by means of the perceptron algorithm.
Package related to finding proper names and numeric amounts.
Package containing common code for performing full syntactic parsing.
Package containing code for performing full syntactic parsing using shift/reduce-style decisions.
Package containing experimental code for performing full syntactic
parsing using attachment decisions.
Package related to part-of-speech tagging.
Package related to identifying sentence boundaries.
Contains classes related to finding token or words in a string.
Package containing utility data structures and algorithms used by multiple other packages.
-
Classes in opennlp.tools.ml.model used by opennlp.tools.chunkerClassDescriptionA basic
MaxentModel
implementation.The context of a decision point during training.Interface for maximum entropy models.Class which models a sequence.A classification model that can label an inputSequence
.Interface for streams ofsequences
used to train sequence models. -
Classes in opennlp.tools.ml.model used by opennlp.tools.doccatClassDescriptionThe context of a decision point during training.Interface for maximum entropy models.
-
Classes in opennlp.tools.ml.model used by opennlp.tools.langdetectClassDescriptionThe context of a decision point during training.Interface for maximum entropy models.
-
Classes in opennlp.tools.ml.model used by opennlp.tools.lemmatizerClassDescriptionA basic
MaxentModel
implementation.The context of a decision point during training.Interface for maximum entropy models.Class which models a sequence.A classification model that can label an inputSequence
.Interface for streams ofsequences
used to train sequence models. -
Classes in opennlp.tools.ml.model used by opennlp.tools.mlClassDescriptionAn abstract, basic implementation of a model writer.A maxent predicate representation which we can use to sort based on the outcomes.Class which associates a real valued parameter or expected value with a particular contextual predicate or feature.Represents an indexer which compresses events in memory and performs feature selection.The context of a decision point during training.Interface for maximum entropy models.A classification model that can label an input
Sequence
.Interface for streams ofsequences
used to train sequence models. -
Classes in opennlp.tools.ml.model used by opennlp.tools.ml.maxentClassDescriptionA basic
MaxentModel
implementation.Class which associates a real valued parameter or expected value with a particular contextual predicate or feature.Represents an indexer which compresses events in memory and performs feature selection.This class encapsulates the variables used in producing probabilities from a model and facilitates passing these variables to the eval method.The context of a decision point during training.Interface for maximum entropy models.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.ioClassDescriptionA basic
MaxentModel
implementation.An abstract, basic implementation of a model reader.An abstract, basic implementation of a model writer.A maxent predicate representation which we can use to sort based on the outcomes.Describes generic ways to read data from aDataInputStream
. -
Classes in opennlp.tools.ml.model used by opennlp.tools.ml.maxent.quasinewtonClassDescriptionA basic
MaxentModel
implementation.Class which associates a real valued parameter or expected value with a particular contextual predicate or feature.Represents an indexer which compresses events in memory and performs feature selection.Interface for maximum entropy models. -
Classes in opennlp.tools.ml.model used by opennlp.tools.ml.modelClassDescriptionAbstract
DataIndexer
implementation for collecting event and context counts used in training.A basicMaxentModel
implementation.An abstract, basic implementation of a model reader.An abstract, basic implementation of a model writer.A maxent event representation which we can use to sort based on the predicates indexes contained in the events.A maxent predicate representation which we can use to sort based on the outcomes.Class which associates a real valued parameter or expected value with a particular contextual predicate or feature.Represents an indexer which compresses events in memory and performs feature selection.Describes generic ways to read data from aDataInputStream
.This class encapsulates the variables used in producing probabilities from a model and facilitates passing these variables to the eval method.The context of a decision point during training.Class for using a file ofevents
as anevent stream
.Interface for maximum entropy models.ADataIndexer
for maxent model data which handles cutoffs for uncommon contextual predicates and provides a unique integer index for each of the predicates.This interface allows one to implement a prior distribution for use in maximum entropy model training.Class which models a sequence.Interface for streams ofsequences
used to train sequence models. -
Classes in opennlp.tools.ml.model used by opennlp.tools.ml.naivebayesClassDescriptionA basic
MaxentModel
implementation.An abstract, basic implementation of a model reader.An abstract, basic implementation of a model writer.A maxent predicate representation which we can use to sort based on the outcomes.Class which associates a real valued parameter or expected value with a particular contextual predicate or feature.Represents an indexer which compresses events in memory and performs feature selection.Describes generic ways to read data from aDataInputStream
.This class encapsulates the variables used in producing probabilities from a model and facilitates passing these variables to the eval method.Interface for maximum entropy models. -
Classes in opennlp.tools.ml.model used by opennlp.tools.ml.perceptronClassDescriptionA basic
MaxentModel
implementation.An abstract, basic implementation of a model reader.An abstract, basic implementation of a model writer.A maxent predicate representation which we can use to sort based on the outcomes.Class which associates a real valued parameter or expected value with a particular contextual predicate or feature.Represents an indexer which compresses events in memory and performs feature selection.Describes generic ways to read data from aDataInputStream
.This class encapsulates the variables used in producing probabilities from a model and facilitates passing these variables to the eval method.The context of a decision point during training.Interface for maximum entropy models.Interface for streams ofsequences
used to train sequence models. -
Classes in opennlp.tools.ml.model used by opennlp.tools.namefindClassDescriptionA basic
MaxentModel
implementation.The context of a decision point during training.Interface for maximum entropy models.Class which models a sequence.A classification model that can label an inputSequence
.Interface for streams ofsequences
used to train sequence models. -
Classes in opennlp.tools.ml.model used by opennlp.tools.parserClassDescriptionThe context of a decision point during training.Interface for maximum entropy models.
-
Classes in opennlp.tools.ml.model used by opennlp.tools.parser.chunking
-
Classes in opennlp.tools.ml.model used by opennlp.tools.parser.treeinsert
-
Classes in opennlp.tools.ml.model used by opennlp.tools.postagClassDescriptionA basic
MaxentModel
implementation.The context of a decision point during training.Interface for maximum entropy models.Class which models a sequence.A classification model that can label an inputSequence
.Interface for streams ofsequences
used to train sequence models. -
Classes in opennlp.tools.ml.model used by opennlp.tools.sentdetectClassDescriptionThe context of a decision point during training.Interface for maximum entropy models.
-
Classes in opennlp.tools.ml.model used by opennlp.tools.tokenizeClassDescriptionThe context of a decision point during training.Interface for maximum entropy models.
-
Classes in opennlp.tools.ml.model used by opennlp.tools.util
-
Classes in opennlp.tools.ml.model used by opennlp.tools.util.model