public Tuple <Matrix <float>, Vector <float> > BuildData(List <TrainingInstance> trainingInstances)
{
IState[] states = trainingInstances.Select(x => x.State).ToArray();
double[] pathCosts = trainingInstances.Select(x => x.Response).ToArray();
Matrix <float> trainingData = DenseMatrix.Create(states.Length, numInputs, 0);
for (int r = 0; r < trainingData.RowCount; r++)
{
IState state = states[r];
byte[] stateArr = state.Arr;
int count = 0;
for (byte i = 0; i < stateArr.Length; i++)
{
int index = Array.IndexOf(stateArr, i);
var coord = SlidingPuzzle.IndexToCoord(index);
trainingData[r, count + coord.Item1 - 1] = 1;
trainingData[r, count + dim + coord.Item2 - 1] = 1;
count += dim + dim;
}
}
Vector <float> response = DenseVector.Create(pathCosts.Length, 0);
for (int i = 0; i < pathCosts.Length; i++)
{
double y = pathCosts[i];
if (responseFunc != null)
{
y = responseFunc(y);
}
response[i] = (float)y;
}
return(new Tuple <Matrix <float>, Vector <float> >(trainingData, response));
}