| AbstractDataIndexer |
Abstract class for collecting event and context counts used in training.
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| AbstractModel |
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| AbstractModelReader |
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| AbstractModelWriter |
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| BinaryFileDataReader |
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| ComparableEvent |
A maxent event representation which we can use to sort based on the
predicates indexes contained in the events.
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| ComparablePredicate |
A maxent predicate representation which we can use to sort based on the
outcomes.
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| Context |
Class which associates a real valued parameter or expected value with a particular contextual
predicate or feature.
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| DataIndexerFactory |
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| DynamicEvalParameters |
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| EvalParameters |
This class encapsulates the varibales used in producing probabilities from a model
and facilitaes passing these variables to the eval method.
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| Event |
The context of a decision point during training.
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| FileEventStream |
Class for using a file of events as an event stream.
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| GenericModelReader |
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| GenericModelWriter |
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| HashSumEventStream |
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| MutableContext |
Class used to store parameters or expected values associated with this context which
can be updated or assigned.
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| ObjectDataReader |
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| 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.
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| 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.
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| PlainTextFileDataReader |
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| RealValueFileEventStream |
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| Sequence<T> |
Class which models a sequence.
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| SequenceStreamEventStream |
Class which turns a sequence stream into an event stream.
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| TwoPassDataIndexer |
Collecting event and context counts by making two passes over the events.
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| UniformPrior |
Provide a maximum entropy model with a uniform prior.
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