private void ComputeInputs(System.IntPtr model, double[,] values)
{
var nbInputs = values.GetUpperBound(0) - 1;
for (int y = 0; y < values.GetUpperBound(1); y++)
{
double[] inputs = new double[nbInputs];
int expected = 0;
for (int x = 0; x < values.GetUpperBound(0); x++)
{
var value = values[x, y];
if (x == nbInputs)
{
expected = Convert.ToInt32(value);
}
else
{
inputs[x] = value;
}
}
int result = PanebWrapper.classification_compute(model, inputs.Length, inputs);
Debug.Log("Expected: " + expected + "; Result = " + result);
}
}
private void MoveAxis(System.IntPtr weights)
{
foreach (var white in whites)
{
var x = white.position.x;
var z = white.position.z;
int direction = PanebWrapper.classification_compute(weights, 2, new double[] { x, z });
white.position += direction == 1 ? Vector3.up : Vector3.down;
}
}