Package opennlp.tools.ml.model

Interface Summary

Interface	Description
DataIndexer	Object which compresses events in memory and performs feature selection.
DataReader
MaxentModel	Interface for maximum entropy models.
Prior	This interface allows one to implement a prior distribution for use in maximum entropy model training.
SequenceClassificationModel<T>	A classification model that can label an input sequence.
SequenceStream	Interface for streams of sequences used to train sequence models.

Class Summary

Class	Description
AbstractDataIndexer	Abstract class for collecting event and context counts used in training.
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.
DataIndexerFactory
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.
FileEventStream	Class for using a file of events as an event stream.
GenericModelReader
GenericModelWriter
HashSumEventStream
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.
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

Enum	Description
AbstractModel.ModelType