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| Packages that use opennlp.maxent | |
|---|---|
| opennlp.maxent | Provides main functionality of the maxent package including data structures and algorithms for parameter estimation. |
| opennlp.maxent.io | Provides the I/O functionality of the maxent package including reading and writting models in several formats. |
| Classes in opennlp.maxent used by opennlp.maxent | |
|---|---|
| AbstractDataIndexer
Abstract class for collecting event and context counts used in training. |
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| Context
Class which associates a real valueed parameter or expected value with a particular contextual predicate or feature. |
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| ContextGenerator
Generate contexts for maxent decisions. |
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| DataIndexer
Object which compresses events in memory and performs feature selection. |
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| DataStream
A interface for objects which can deliver a stream of training data to be supplied to an EventStream. |
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| Evalable
Interface for components which use maximum entropy models and can evaluate the performace of the models using the TrainEval class. |
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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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| EventCollector
An interface for objects which read events during training. |
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| EventStream
A object which can deliver a stream of training events for the GIS procedure (or others such as IIS if and when they are implemented). |
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| FileEventStream
Class for using a file of events as an event stream. |
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| GISModel
A maximum entropy model which has been trained using the Generalized Iterative Scaling procedure (implemented in GIS.java). |
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| MaxentModel
Interface for maximum entropy models. |
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| ModelDomain
A simple interface that represents a domain to which a particular maxent model is primarily applicable. |
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| ModelSetter
A object to facilitate the resetting of a MaxentModel variable to a new value (model). |
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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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| Prior
This interface allows one to implement a prior distribution for use in maximum entropy model training. |
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| Classes in opennlp.maxent used by opennlp.maxent.io | |
|---|---|
| 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 valueed parameter or expected value with a particular contextual predicate or feature. |
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| GISModel
A maximum entropy model which has been trained using the Generalized Iterative Scaling procedure (implemented in GIS.java). |
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