/// <summary>
/// Pick an array element with probability proportional to exp(-cost).
/// </summary>
public static int sample_by_costs(Floatarray costs)
{
Doublearray p = new Doublearray();
p.Copy(costs);
double mincost = NarrayUtil.Min(costs);
p -= mincost;
for (int i = 0; i < p.Length(); i++)
{
p.UnsafePut1d(i, Math.Exp(-p.UnsafeAt1d(i)));
}
double sump = NarrayUtil.Sum(p);
p /= sump;
double choice = rnd.NextDouble();
double s = 0;
for (int i = 0; i < p.Length(); i++)
{
s += p[i];
if (choice < s)
{
return(i);
}
}
// shouldn't happen...
return(costs.Length() - 1);
}
public override void Save(BinaryWriter writer)
{
if (lenetWrap.IsEmpty)
{
BinIO.string_write(writer, "<null/>");
return;
}
double[] dbuffer;
int size;
// receive buffer from wrapped lenet
lenetWrap.SaveNetworkToBuffer(out size, out dbuffer);
lenetparam.Resize(size);
for (int i = 0; i < size; i++)
{
lenetparam.UnsafePut1d(i, dbuffer[i]);
}
BinIO.string_write(writer, "<object>");
//BinIO.string_write(writer, comp.Name);
// write lenet arguments
BinIO.scalar_write(writer, lenetWrap.Classes.Length);
for (int i = 0; i < lenetWrap.Classes.Length; i++)
{
BinIO.scalar_write(writer, lenetWrap.Classes[i]);
}
BinIO.scalar_write(writer, Convert.ToByte(lenetWrap.TanhSigmoid));
BinIO.scalar_write(writer, Convert.ToByte(lenetWrap.NetNorm));
BinIO.scalar_write(writer, Convert.ToByte(lenetWrap.AsciiTarget));
// save Narray to stream
BinIO.narray_write(writer, lenetparam);
BinIO.string_write(writer, "</object>");
}
/// <summary>
/// Pick an array element with probability proportional to exp(-cost).
/// </summary>
public static int sample_by_costs(Floatarray costs)
{
Doublearray p = new Doublearray();
p.Copy(costs);
double mincost = NarrayUtil.Min(costs);
p -= mincost;
for (int i = 0; i < p.Length(); i++)
p.UnsafePut1d(i, Math.Exp(-p.UnsafeAt1d(i)));
double sump = NarrayUtil.Sum(p);
p /= sump;
double choice = rnd.NextDouble();
double s = 0;
for (int i = 0; i < p.Length(); i++)
{
s += p[i];
if (choice < s)
return i;
}
// shouldn't happen...
return costs.Length() - 1;
}
