/// <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("SVM 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); }