Esempi in C# (CSharp) per Encog.Neural.Networks.Training.Cross NetworkFold

Esempio n. 1

File: CrossValidationKFold.cs Progetto: jongh0/MTree

        /// <summary>
        /// Construct a cross validation trainer.
        /// </summary>
        ///
        /// <param name="train">The training</param>
        /// <param name="k">The number of folds.</param>
        public CrossValidationKFold(IMLTrain train, int k) : base(train.Method, (FoldedDataSet) train.Training)
        {
            _train = train;
            Folded.Fold(k);

            _flatNetwork = ((BasicNetwork) train.Method).Structure.Flat;

            _networks = new NetworkFold[k];
            for (int i = 0; i < _networks.Length; i++)
            {
                _networks[i] = new NetworkFold(_flatNetwork);
            }
        }

Esempio n. 2

        /// <summary>
        /// Construct a cross validation trainer.
        /// </summary>
        ///
        /// <param name="train">The training</param>
        /// <param name="k">The number of folds.</param>
        public CrossValidationKFold(IMLTrain train, int k) : base(train.Method, (FoldedDataSet)train.Training)
        {
            _train = train;
            Folded.Fold(k);

            _flatNetwork = ((BasicNetwork)train.Method).Structure.Flat;

            _networks = new NetworkFold[k];
            for (int i = 0; i < _networks.Length; i++)
            {
                _networks[i] = new NetworkFold(_flatNetwork);
            }
        }