Verwendungen von Package
opennlp.tools.ml.model
Packages, die opennlp.tools.ml.model verwenden
Package
Beschreibung
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.
-
Von opennlp.tools.chunker verwendete Klassen in opennlp.tools.ml.modelKlasseBeschreibungA 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. -
Von opennlp.tools.doccat verwendete Klassen in opennlp.tools.ml.modelKlasseBeschreibungThe context of a decision point during training.Interface for maximum entropy models.
-
Von opennlp.tools.langdetect verwendete Klassen in opennlp.tools.ml.modelKlasseBeschreibungThe context of a decision point during training.Interface for maximum entropy models.
-
Von opennlp.tools.lemmatizer verwendete Klassen in opennlp.tools.ml.modelKlasseBeschreibungA 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. -
Von opennlp.tools.ml verwendete Klassen in opennlp.tools.ml.modelKlasseBeschreibungAn 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. -
Von opennlp.tools.ml.maxent verwendete Klassen in opennlp.tools.ml.modelKlasseBeschreibungA 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. -
Von opennlp.tools.ml.maxent.io verwendete Klassen in opennlp.tools.ml.modelKlasseBeschreibungA 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
. -
Von opennlp.tools.ml.maxent.quasinewton verwendete Klassen in opennlp.tools.ml.modelKlasseBeschreibungA 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. -
Von opennlp.tools.ml.model verwendete Klassen in opennlp.tools.ml.modelKlasseBeschreibungAbstract
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. -
Von opennlp.tools.ml.naivebayes verwendete Klassen in opennlp.tools.ml.modelKlasseBeschreibungA 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. -
Von opennlp.tools.ml.perceptron verwendete Klassen in opennlp.tools.ml.modelKlasseBeschreibungA 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. -
Von opennlp.tools.namefind verwendete Klassen in opennlp.tools.ml.modelKlasseBeschreibungA 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. -
Von opennlp.tools.parser verwendete Klassen in opennlp.tools.ml.modelKlasseBeschreibungThe context of a decision point during training.Interface for maximum entropy models.
-
Von opennlp.tools.parser.chunking verwendete Klassen in opennlp.tools.ml.model
-
Von opennlp.tools.parser.treeinsert verwendete Klassen in opennlp.tools.ml.model
-
Von opennlp.tools.postag verwendete Klassen in opennlp.tools.ml.modelKlasseBeschreibungA 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. -
Von opennlp.tools.sentdetect verwendete Klassen in opennlp.tools.ml.modelKlasseBeschreibungThe context of a decision point during training.Interface for maximum entropy models.
-
Von opennlp.tools.tokenize verwendete Klassen in opennlp.tools.ml.modelKlasseBeschreibungThe context of a decision point during training.Interface for maximum entropy models.
-
Von opennlp.tools.util verwendete Klassen in opennlp.tools.ml.model
-
Von opennlp.tools.util.model verwendete Klassen in opennlp.tools.ml.model