private DataNormalization Create2D(double[][] arrayOutput)
{
IInputField a, b;
var target = new NormalizationStorageArray2D(arrayOutput);
var norm = new DataNormalization();
norm.Report = new NullStatusReportable();
norm.Storage = target;
norm.AddInputField(a = new InputFieldArray2D(false, ARRAY_2D, 0));
norm.AddInputField(b = new InputFieldArray2D(false, ARRAY_2D, 1));
norm.AddOutputField(new OutputFieldRangeMapped(a, 0.1, 0.9));
norm.AddOutputField(new OutputFieldRangeMapped(b, 0.1, 0.9));
return(norm);
}
private DataNormalization CreateSampleSegregate()
{
IInputField a, b;
var arrayOutput = EngineArray.AllocateDouble2D(6, 2);
var target = new NormalizationStorageArray2D(arrayOutput);
var norm = new DataNormalization();
norm.Report = new NullStatusReportable();
norm.Storage = target;
norm.AddInputField(a = new InputFieldArray2D(false, ARRAY_2D, 0));
norm.AddInputField(b = new InputFieldArray2D(false, ARRAY_2D, 1));
norm.AddOutputField(new OutputFieldRangeMapped(a, 0.1, 0.9));
norm.AddOutputField(new OutputFieldRangeMapped(b, 0.1, 0.9));
norm.AddSegregator(new IndexSampleSegregator(0, 3, 2));
return(norm);
}
public DataNormalization Create(double[][] arrayOutput)
{
IInputField a;
IInputField b;
IInputField c;
var target = new NormalizationStorageArray2D(arrayOutput);
var group = new MultiplicativeGroup();
var norm = new DataNormalization();
norm.Report = new NullStatusReportable();
norm.Storage = target;
norm.AddInputField(a = new InputFieldArray2D(false, SAMPLE1, 0));
norm.AddInputField(b = new InputFieldArray2D(false, SAMPLE1, 1));
norm.AddInputField(c = new InputFieldArray2D(false, SAMPLE1, 2));
norm.AddOutputField(new OutputFieldMultiplicative(group, a));
norm.AddOutputField(new OutputFieldMultiplicative(group, b));
norm.AddOutputField(new OutputFieldMultiplicative(group, c));
return(norm);
}
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);
}
private DataNormalization Create(double[][] arrayOutput)
{
IInputField a, b;
var target = new NormalizationStorageArray2D(arrayOutput);
OutputFieldEncode a1;
OutputFieldEncode b1;
var norm = new DataNormalization();
norm.Report = new NullStatusReportable();
norm.Storage = target;
norm.AddInputField(a = new InputFieldArray2D(false, ARRAY_2D, 0));
norm.AddInputField(b = new InputFieldArray2D(false, ARRAY_2D, 1));
norm.AddOutputField(a1 = new OutputFieldEncode(a));
norm.AddOutputField(b1 = new OutputFieldEncode(b));
a1.AddRange(1.0, 2.0, 0.1);
b1.AddRange(0, 100, 0.2);
return(norm);
}
private DataNormalization CreateRangeSegregate()
{
IInputField a, b;
double[][] arrayOutput = EngineArray.AllocateDouble2D(1, 2);
RangeSegregator s;
var target = new NormalizationStorageArray2D(arrayOutput);
var norm = new DataNormalization();
norm.Report = new NullStatusReportable();
norm.Storage = target;
norm.AddInputField(a = new InputFieldArray2D(false, ARRAY_2D, 0));
norm.AddInputField(b = new InputFieldArray2D(false, ARRAY_2D, 1));
norm.AddOutputField(new OutputFieldRangeMapped(a, 0.1, 0.9));
norm.AddOutputField(new OutputFieldRangeMapped(b, 0.1, 0.9));
norm.AddSegregator(s = new RangeSegregator(a, false));
s.AddRange(2, 2, true);
return(norm);
}
public DataNormalization Create()
{
IInputField a;
IInputField b;
IInputField c;
double[][] arrayOutput = EngineArray.AllocateDouble2D(2, 4);
var target = new NormalizationStorageArray2D(arrayOutput);
var group = new ZAxisGroup();
var norm = new DataNormalization();
norm.Report = new NullStatusReportable();
norm.Storage = target;
norm.AddInputField(a = new InputFieldArray2D(false, SAMPLE1, 0));
norm.AddInputField(b = new InputFieldArray2D(false, SAMPLE1, 1));
norm.AddInputField(c = new InputFieldArray2D(false, SAMPLE1, 2));
norm.AddOutputField(new OutputFieldZAxis(group, a));
norm.AddOutputField(new OutputFieldZAxis(group, b));
norm.AddOutputField(new OutputFieldZAxis(group, c));
norm.AddOutputField(new OutputFieldZAxisSynthetic(group));
return(norm);
}
