Package opennlp.tools.ml.model

Package related to ML models and feature selection techniques.

Interface Summary

Interface	Description
DataIndexer	Represents an indexer which compresses events in memory and performs feature selection.
DataReader	Describes generic ways to read data from a DataInputStream.
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<S>	Interface for streams of sequences used to train sequence models.

Class Summary

Class	Description
AbstractDataIndexer	Abstract DataIndexer implementation for collecting event and context counts used in training.
AbstractModel	A basic MaxentModel implementation.
AbstractModelReader	An abstract, basic implementation of a model reader.
AbstractModelWriter	An abstract, basic implementation of a model writer.
BinaryFileDataReader	A DataReader that reads files from a binary format.
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	A factory that produces DataIndexer instances.
DynamicEvalParameters
EvalParameters	This class encapsulates the variables used in producing probabilities from a model and facilitates 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	An generic AbstractModelReader implementation.
GenericModelWriter	An generic AbstractModelWriter implementation.
HashSumEventStream	A hash sum based AbstractObjectStream implementation.
ModelParameterChunker	A helper class that handles Strings with more than 64k (65535 bytes) in length.
MutableContext	An extension of Context used to store parameters or expected values associated with this context which can be updated or assigned.
ObjectDataReader	A DataReader implementation based on ObjectInputStream.
OnePassDataIndexer	A DataIndexer for maxent model data which handles cutoffs for uncommon contextual predicates and provides a unique integer index for each of the predicates.
OnePassRealValueDataIndexer	A DataIndexer 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	A generic DataReader implementation for plain text files.
RealValueFileEventStream	Class for using a file of real-valued events as an event stream.
Sequence<T>	Class which models a sequence.
SequenceStreamEventStream	Class which turns a SequenceStream 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