public Dataset Generate(int length)
{
var dataArray = new Data[length];
for (int i = 0; i < length; i++)
{
var input = new ShapedArray <double>(InputShape, () => GRandom.Uniform() < 0.5 ? 0.0 : 1.0);
int oneCount = 0;
input.ForEach(X => oneCount += X == 1.0 ? 1 : 0);
bool isEven = oneCount % 2 == 0;
double[] outArr;
if (IsBinary)
{
outArr = isEven ? new double[] { 1.0, 0.0 } : new double[] { 0.0, 1.0 };
}
else
{
outArr = isEven ? new double[] { 1.0 } : new double[] { 0.0 };
}
dataArray[i] = new Data(input, ShapedArray <double> .FromRef(TargetShape, outArr));
}
return(Dataset.FromRef(dataArray));
}
public static ShapedArray <T> PadArray <T>(ShapedArray <T> array, Array <int> paddings, Func <T> padVal)
{
if (array.Shape.Rank != paddings.Length)
{
throw new RankException(nameof(array));
}
Shape paddedShape = array.Shape.Pad(paddings);
var internalArray = new T[paddedShape.Volume];
IndexGen.ByStart(array.Shape, paddings).ForEach((idx, i) => internalArray[paddedShape.FlattenIndices(idx)] = array[i]);
for (int i = 0; i < internalArray.Length; i++)
{
internalArray[i] ??= padVal();
}
return(ShapedArray <T> .FromRef(paddedShape, internalArray));
}