Skip navigation links
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
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
 
eval(String[], double[]) - Method in class opennlp.maxent.GISModel
 
eval(String[], float[], double[]) - Method in class opennlp.maxent.GISModel
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
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
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
 
eval(MaxentModel, Reader, Evalable, boolean) - Static method in class opennlp.maxent.TrainEval
 
Evalable - Interface in opennlp.maxent
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 
Skip navigation links

Copyright ? 2008 Jason Baldridge, Gann Bierner, and Thomas Morton. All Rights Reserved.