FinishTraining() public final méthode

public final FinishTraining ( ) : void
Résultat void
Exemple #1
0
        public override void TrainNetwork()
        {
            IMLTrain train = new SVMSearchTrain(Svm, TrainingSet);

            var iteration = 1;

            var errors = new List<double[]>();

            do
            {
                train.Iteration();

                errors.Add(new[] { -1, iteration, train.Error });

                Console.WriteLine(@"Iteration #" + iteration++ + @" Training error:" + train.Error);

            } while ((iteration < Parameters.IterationsCount) && (train.Error > Parameters.AcceptedError));

            train.FinishTraining();

            ErrorSet = errors.ToArray();
        }
            public static SupportVectorMachine SVMSearch(SupportVectorMachine anetwork, IMLDataSet training)
            {
                SVMSearchTrain bestsearch = new SVMSearchTrain(anetwork, training);
                StopTrainingStrategy stop = new StopTrainingStrategy(0.00000000001, 1);
                bestsearch.AddStrategy(stop);
                while (bestsearch.IterationNumber < 30 && !stop.ShouldStop())
                {
                bestsearch.Iteration();
                Console.WriteLine("Iteration #" + bestsearch.IterationNumber + " Error :" + bestsearch.Error);
                }

                bestsearch.FinishTraining();

                   return anetwork;
            }