/// <inheritdoc />
        public INormalizationStrategy SuggestNormalizationStrategy(VersatileMLDataSet dataset, String architecture)
        {
            var result = new BasicNormalizationStrategy();
            result.AssignInputNormalizer(ColumnType.Continuous, new RangeNormalizer(0, 1));
            result.AssignInputNormalizer(ColumnType.Nominal, new OneOfNNormalizer(0, 1));
            result.AssignInputNormalizer(ColumnType.Ordinal, new OneOfNNormalizer(0, 1));

            result.AssignOutputNormalizer(ColumnType.Continuous, new RangeNormalizer(0, 1));
            result.AssignOutputNormalizer(ColumnType.Nominal, new OneOfNNormalizer(0, 1));
            result.AssignOutputNormalizer(ColumnType.Ordinal, new OneOfNNormalizer(0, 1));
            return result;
        }
        /// <inheritdoc />
        public INormalizationStrategy SuggestNormalizationStrategy(VersatileMLDataSet dataset, string architecture)
        {
            int outputColumns = dataset.NormHelper.OutputColumns.Count;

            ColumnType ct = dataset.NormHelper.OutputColumns[0].DataType;

            var result = new BasicNormalizationStrategy();
            result.AssignInputNormalizer(ColumnType.Continuous, new RangeNormalizer(0, 1));
            result.AssignInputNormalizer(ColumnType.Nominal, new OneOfNNormalizer(0, 1));
            result.AssignInputNormalizer(ColumnType.Ordinal, new OneOfNNormalizer(0, 1));

            result.AssignOutputNormalizer(ColumnType.Continuous, new RangeNormalizer(0, 1));
            result.AssignOutputNormalizer(ColumnType.Nominal, new OneOfNNormalizer(0, 1));
            result.AssignOutputNormalizer(ColumnType.Ordinal, new OneOfNNormalizer(0, 1));
            return result;
        }
        /// <inheritdoc />
        public INormalizationStrategy SuggestNormalizationStrategy(VersatileMLDataSet dataset, String architecture)
        {
            int outputColumns = dataset.NormHelper.OutputColumns.Count;

            if (outputColumns > 1)
            {
                throw new EncogError("PNN does not support multiple output columns.");
            }

            ColumnType ct = dataset.NormHelper.OutputColumns[0].DataType;

            var result = new BasicNormalizationStrategy();
            result.AssignInputNormalizer(ColumnType.Continuous, new RangeNormalizer(0, 1));
            result.AssignInputNormalizer(ColumnType.Nominal, new OneOfNNormalizer(0, 1));
            result.AssignInputNormalizer(ColumnType.Ordinal, new OneOfNNormalizer(0, 1));

            result.AssignOutputNormalizer(ColumnType.Continuous, new RangeNormalizer(0, 1));
            result.AssignOutputNormalizer(ColumnType.Nominal, new IndexedNormalizer());
            result.AssignOutputNormalizer(ColumnType.Ordinal, new OneOfNNormalizer(0, 1));
            return result;
        }