B C D E F G H I K L M N O P R S T U W
E
- eval(String[]) - Method in class opennlp.maxent.GISModel
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Use this model to evaluate a context and return an array of the
likelihood of each outcome given that context.
- eval(String[], float[]) - Method in class opennlp.maxent.GISModel
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- eval(String[], double[]) - Method in class opennlp.maxent.GISModel
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- eval(String[], float[], double[]) - Method in class opennlp.maxent.GISModel
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Use this model to evaluate a context and return an array of the
likelihood of each outcome given that context.
- eval(int[], double[], EvalParameters) - Static method in class opennlp.maxent.GISModel
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Use this model to evaluate a context and return an array of the
likelihood of each outcome given the specified context and the specified parameters.
- eval(int[], float[], double[], EvalParameters) - Static method in class opennlp.maxent.GISModel
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Use this model to evaluate a context and return an array of the
likelihood of each outcome given the specified context and the specified parameters.
- eval(MaxentModel, Reader, Evalable) - Static method in class opennlp.maxent.TrainEval
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- eval(MaxentModel, Reader, Evalable, boolean) - Static method in class opennlp.maxent.TrainEval
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- Evalable - Interface in opennlp.maxent
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Interface for components which use maximum entropy models and can evaluate
the performace of the models using the TrainEval class.
B C D E F G H I K L M N O P R S T U W
Copyright ? 2008 Jason Baldridge, Gann Bierner, and Thomas Morton. All Rights Reserved.