private DataNormalization Create()
{
IInputField a, b;
double[][] arrayOutput = EngineArray.AllocateDouble2D(2, 2);
var dataset = new BasicMLDataSet(ARRAY_2D, null);
var target = new NormalizationStorageArray2D(arrayOutput);
var norm = new DataNormalization();
norm.Report = new NullStatusReportable();
norm.Storage = target;
norm.AddInputField(a = new InputFieldMLDataSet(false, dataset, 0));
norm.AddInputField(b = new InputFieldMLDataSet(false, dataset, 1));
norm.AddOutputField(new OutputFieldRangeMapped(a, 0.1, 0.9));
norm.AddOutputField(new OutputFieldRangeMapped(b, 0.1, 0.9));
return norm;
}
/// <summary>
/// Construct the class.
/// </summary>
/// <param name="iterator">An iterator.</param>
/// <param name="field">A field.</param>
public MLDataFieldHolder(IEnumerator <IMLDataPair> iterator,
InputFieldMLDataSet field)
{
_iterator = iterator;
_field = field;
}
/// <summary>
/// Construct the class.
/// </summary>
/// <param name="iterator">An iterator.</param>
/// <param name="field">A field.</param>
public MLDataFieldHolder(IEnumerator<IMLDataPair> iterator,
InputFieldMLDataSet field)
{
_iterator = iterator;
_field = field;
}
