private void reset()
{
if (_featureMap.EliteMap.Count == 0)
{
_mean = LA.Vector <double> .Build.Dense(_numParams);
}
else
{
_mean = DenseVector.OfArray(_featureMap.GetRandomElite().ParamVector);
}
_direction = LA.Vector <double> .Build.Dense(_featureMap.NumFeatures);
for (int i = 0; i < _featureMap.NumFeatures; i++)
{
_direction[i] = Sampler.gaussian() * _featureMap.GetFeatureScalar(i);
}
_mutationPower = _params.MutationPower;
_pc = LA.Vector <double> .Build.Dense(_numParams);
_ps = LA.Vector <double> .Build.Dense(_numParams);
_C = new DecompMatrix(_numParams);
_individualsEvaluated = 0;
}
private void reset()
{
if (_featureMap.EliteMap.Count == 0)
{
_mean = LA.Vector <double> .Build.Dense(_numParams);
}
else
{
_mean = DenseVector.OfArray(_featureMap.GetRandomElite().ParamVector);
}
_mutationPower = _params.MutationPower;
_pc = LA.Vector <double> .Build.Dense(_numParams);
_ps = LA.Vector <double> .Build.Dense(_numParams);
_C = new DecompMatrix(_numParams);
_individualsEvaluated = 0;
}