private void pertube(int m, Node node, double[][] dataInput)
{
if (!node.ActiveAtributtes[m])
return;
Node auxNode = (Node)node.Clone();
double[] U = new double[dataInput.Length];
for (int i = 0; i < dataInput.Length; i++)
U[i] = Math.Min((node.weights[m] * dataInput[i][m] - node.Evaluate(dataInput[i])) / dataInput[i][m], 0);
Array.Sort(U);
int bestA = 0;
int dif = Int16.MaxValue;
for (int i = 0; i < U.Length; i++)
{
int positive = 0;
int negative = 0;
for (int j = 0; j < U.Length; j++)
{
if (j <= i && U[j] <= 0)
negative++;
else if (j > i && U[j] > 0)
positive++;
}
if (Math.Abs(positive - negative) < dif)
{
dif = Math.Abs(positive - negative);
bestA = i;
}
}
auxNode.weights[m] = U[bestA];
if (gain(dataInput, auxNode) > gain(dataInput, node))
{
node.weights[m] = U.Max();
node.ResetPmove();
}
else if (gain(dataInput, auxNode) == gain(dataInput, node))
{
if(node.EvaluatePmove())
node.weights[m] = U.Max();
node.DecreasePmove();
}
}
/*
* data[0]: left
* data[1]: right
*/
private static List<double[]>[] divideData(double[][] input, Node node)
{
List<double[]>[] data = new List<double[]>[2];
data[0] = new List<double[]>();
data[1] = new List<double[]>();
for (int i = 0; i < input.Length; i++)
{
if (node.Evaluate(input[i]) < 0) //Curioso caso.
data[0].Add(input[i]);
else
data[1].Add(input[i]);
}
return data;
}