private void GetCMAESModel(out LinearModel model, CMAESData.ObjectiveFunction objFun)
{
model = new LinearModel(Distribution, Dimension, objFun, false,
new DirectoryInfo(String.Format(@"{0}\..", FileInfo.DirectoryName)));
}
public LinearModel(string distribution, string dimension, CMAESData.ObjectiveFunction objFun,
bool timedependent, DirectoryInfo dataDir)
: this(null, Features.Mode.Local, 16, 1, !timedependent, distribution, dimension, Model.CMAES)
{
string pat = String.Format("full.{0}.{1}.{2}.weights.{3}",
distribution, dimension, objFun, timedependent ? "timedependent" : "timeindependent");
DirectoryInfo dir = new DirectoryInfo(String.Format(@"{0}\CMAES\weights", dataDir.FullName));
Regex reg = new Regex(pat);
var files = dir.GetFiles("*.csv").Where(path => reg.IsMatch(path.ToString())).ToList();
if (files.Count <= 0)
throw new Exception(String.Format("Cannot find any weights belonging to {0}!", pat));
FileInfo = files[0];
LinearModel[] w = ReadLoggedLinearWeights(files[0], distribution, dimension, Model.CMAES);
LocalWeights = w[0].LocalWeights;
}
