| 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 |
|
| ModelParameterChunker |
A helper class that handles Strings with more than 64k (65535 bytes) in length.
|
| 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.
|