private System.IntPtr CreateModel(double[,] values)
{
var nbInputs = values.GetUpperBound(0) - 1;
var nbInputRows = values.GetUpperBound(1);
var nbInputCols = values.GetUpperBound(0);
double[] inputs = new double[nbInputRows * nbInputCols];
var inputIterator = 0;
var nbOutputRows = values.GetUpperBound(1);
var nbOutputCols = 1;
double[] outputs = new double[nbOutputRows * nbOutputCols];
var outputIterator = 0;
for (int y = 0; y < values.GetUpperBound(1); y++)
{
for (int x = 0; x < values.GetUpperBound(0); x++)
{
var value = values[x, y];
if (x == nbInputs)
{
outputs[outputIterator++] = value;
}
else
{
inputs[inputIterator++] = value;
}
}
}
return(PanebWrapper.regression_compute(nbInputRows, nbInputCols, inputs, nbOutputRows, nbOutputRows, outputs));
}
void Start()
{
var inputs = ComputeInputs();
var outputs = ComputeOutputs();
var weights = PanebWrapper.regression_compute(spheres.Length, 3, inputs, spheres.Length, 1, outputs);
MoveAxis(weights);
}