Package opennlp.model

Interface Summary
DataIndexer Object which compresses events in memory and performs feature selection.
DataReader  
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.
SequenceStream Interface for streams of sequences used to train sequence models.
 

Class Summary
AbstractDataIndexer Abstract class for collecting event and context counts used in training.
AbstractEventStream  
AbstractModel  
AbstractModelReader  
AbstractModelWriter  
BinaryFileDataReader  
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.
DynamicEvalParameters  
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.
EventCollectorAsStream A wrapper to turn EventCollectors created for Maxent 1.0 into EventStreams for Maxent 1.2.
FileEventStream Class for using a file of events as an event stream.
GenericModelReader  
GenericModelWriter  
HashSumEventStream  
IndexHashTable<T> The IndexHashTable is a hash table which maps entries of an array to their index in the array.
ListEventStream  
MutableContext Class used to store parameters or expected values associated with this context which can be updated or assigned.
ObjectDataReader  
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.
OnePassRealValueDataIndexer An indexer for maxent model data which handles cutoffs for uncommon contextual predicates and provides a unique integer index for each of the predicates and maintains event values.
PlainTextFileDataReader  
RealValueFileEventStream  
Sequence<T> Class which models a sequence.
SequenceStreamEventStream Class which turns a sequence stream into an event stream.
TrainUtil  
TwoPassDataIndexer Collecting event and context counts by making two passes over the events.
UniformPrior Provide a maximum entropy model with a uniform prior.
 

Enum Summary
AbstractModel.ModelType  
 



Copyright © 2013 The Apache Software Foundation. All Rights Reserved.