ai.idylnlp.models.opennlp.training.model

Interface ModelCrossValidationOperations<T extends ai.idylnlp.model.training.EvaluationResult>

All Known Implementing Classes:

EntityModelOperations, SentenceModelOperations, TokenModelOperations

public interface ModelCrossValidationOperations<T extends ai.idylnlp.model.training.EvaluationResult>

Provides model cross validation operations.

Author:

Mountain Fog, Inc.

Method Summary

Modifier and Type	Method and Description
T	crossValidationEvaluateMaxEntQN(ai.idylnlp.model.nlp.subjects.SubjectOfTrainingOrEvaluation subjectOfTraining, com.neovisionaries.i18n.LanguageCode language, int iterations, int cutOff, int folds, double l1, double l2, int m, int max) Performs model cross validation using the maxent QN algorithm.
ai.idylnlp.model.training.FMeasureModelValidationResult	crossValidationEvaluatePerceptron(ai.idylnlp.model.nlp.subjects.SubjectOfTrainingOrEvaluation subjectOfTraining, com.neovisionaries.i18n.LanguageCode language, int iterations, int cutOff, int folds) Performs model cross validation using the perceptron algorithm.

Method Detail

crossValidationEvaluatePerceptron

ai.idylnlp.model.training.FMeasureModelValidationResult crossValidationEvaluatePerceptron(ai.idylnlp.model.nlp.subjects.SubjectOfTrainingOrEvaluation subjectOfTraining,
                                                                                          com.neovisionaries.i18n.LanguageCode language,
                                                                                          int iterations,
                                                                                          int cutOff,
                                                                                          int folds)
                                                                                   throws IOException

Performs model cross validation using the perceptron algorithm.

Parameters:

subjectOfTraining - The SubjectOfTrainingOrEvaluation.

language - The language of the model.

iterations - The number of iterations.

cutOff - The value of the cutoff.

folds - The number of cross validation folds.

Returns:

A FMeasureModelValidationResult.

Throws:

IOException - Thrown if the cross validation fails.

crossValidationEvaluateMaxEntQN

T crossValidationEvaluateMaxEntQN(ai.idylnlp.model.nlp.subjects.SubjectOfTrainingOrEvaluation subjectOfTraining,
                                  com.neovisionaries.i18n.LanguageCode language,
                                  int iterations,
                                  int cutOff,
                                  int folds,
                                  double l1,
                                  double l2,
                                  int m,
                                  int max)
                           throws IOException

Performs model cross validation using the maxent QN algorithm.

Parameters:

subjectOfTraining - The SubjectOfTrainingOrEvaluation.

language - The language of the model.

iterations - The number of iterations.

cutOff - The value of the cutoff.

folds - The number of cross validation folds.

l1 -

l2 -

m -

max -

Returns:

A FMeasureModelValidationResult.

Throws:

IOException - Thrown if the cross validation fails.