public void MutateAuxArgs(double[] auxArgs, SharpNeat.Utility.FastRandom rng, SharpNeat.Utility.ZigguratGaussianSampler gaussianSampler, double connectionWeightRange)
{
throw new SharpNeatException("MutateAuxArgs() called on activation function that does not use auxiliary arguments.");
}
/// <summary>
/// Convenien
/// </summary>
/// <param name="box"></param>
/// <param name="inputs"></param>
/// <param name="fun"></param>
public void Test(SharpNeat.Phenomes.IBlackBox box, IList<double> inputs, OutputProcessor fun)
{
var outputs = new double[nbOutputsNN];
activate(box, inputs, outputs);
for (int i = 0; i < nbClusters; i++)
{
for (int j = 0; j < n; j++)
{
for (int k = 0; k < m; k++)
{
fun(i, GetOutputValuePerCluster(outputs, j, k)[i]);
}
}
}
}
public double[] GetRandomAuxArgs(SharpNeat.Utility.FastRandom rng, double connectionWeightRange)
{
throw new SharpNeatException("GetRandomAuxArgs() called on activation function that does not use auxiliary arguments.");
}
public void Test(SharpNeat.Phenomes.IBlackBox box, IList<double> inputs, OutputProcessor fun)
{
var actualOutputs = new double[nbClusters];
activate(box, inputs, actualOutputs);
for (int i = 0; i < nbClusters; i++)
{
fun(i, actualOutputs[i]);
}
}
public void Test(SharpNeat.Phenomes.IBlackBox box, IList<double> inputs, OutputProcessor fun)
{
var actualOutputs = new double[dataset.OutputCount];
activate(box, inputs, actualOutputs);
for (int i = 0; i < dataset.OutputCount; i++)
{
fun(i, actualOutputs[i]);
}
}
