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 opennlp.tools.lemmatizer Package related with the lemmatizer toolopennlp.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.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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 MaxentModel Interface for maximum entropy models.