All Classes and Interfaces

Classes

Class	Description
AbstractDataIndexer<P>	Abstract DataIndexer implementation for collecting event and context counts used in training.
AbstractEventModelSequenceTrainer<P>	A basic EventModelSequenceTrainer implementation that processes events.
AbstractEventTrainer<P>	A basic EventTrainer implementation.
AbstractMLModelWriter
AbstractModel	A basic MaxentModel implementation.
AbstractModelReader	An abstract, basic implementation of a model reader.
AbstractModelWriter	An abstract, basic implementation of a model writer.
AbstractTrainer<P>
BeamSearch	Performs k-best search over a sequence.
BinaryFileDataReader	A DataReader that reads files from a binary format.
ChecksumEventStream	A Checksum-based event stream implementation.
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.
DataIndexerFactory	A factory that produces DataIndexer instances.
DefaultTrainingProgressMonitor	The default implementation of TrainingProgressMonitor.
DynamicEvalParameters
EvalParameters	This class encapsulates the variables used in producing probabilities from a model and facilitates passing these variables to the eval method.
FileEventStream	Class for using a file of events as an event stream.
GenericModelReader	An generic AbstractModelReader implementation.
GenericModelWriter	An generic AbstractModelWriter 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.
SequenceStreamEventStream	Class which turns a SequenceStream into an event stream.
SimpleEventStreamBuilder
TrainingParameters	Declares and handles default parameters used for or during training models.
TwoPassDataIndexer	Collecting event and context counts by making two passes over the events.
UniformPrior	Provide a maximum entropy model with a uniform Prior.