/// <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);
}
