Uses of Package
opennlp.model

Packages that use opennlp.model
opennlp.maxent Provides main functionality of the maxent package including data structures and algorithms for parameter estimation. 
opennlp.maxent.io Provides the I/O functionality of the maxent package including reading and writting models in several formats. 
opennlp.maxent.quasinewton   
opennlp.model   
opennlp.perceptron   
 

Classes in opennlp.model used by opennlp.maxent
AbstractEventStream
           
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.
EventCollector
          An interface for objects which read events during training.
EventStream
          A object which can deliver a stream of training events for the GIS procedure (or others such as IIS if and when they are implemented).
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.model used by opennlp.maxent.io
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
           
IndexHashTable
          The IndexHashTable is a hash table which maps entries of an array to their index in the array.
 

Classes in opennlp.model used by opennlp.maxent.quasinewton
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.model used by opennlp.model
AbstractDataIndexer
          Abstract class for collecting event and context counts used in training.
AbstractEventStream
           
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.
EventCollector
          An interface for objects which read events during training.
EventStream
          A object which can deliver a stream of training events for the GIS procedure (or others such as IIS if and when they are implemented).
FileEventStream
          Class for using a file of events as an event stream.
IndexHashTable
          The IndexHashTable is a hash table which maps entries of an array to their index in the array.
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.model used by opennlp.perceptron
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.
IndexHashTable
          The IndexHashTable is a hash table which maps entries of an array to their index in the array.
MaxentModel
          Interface for maximum entropy models.
SequenceStream
          Interface for streams of sequences used to train sequence models.
 



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