public static FeatureModel New(Dictionary <string, double> parameters)
{
int maxNumberOfOperations = (int)Math.Round(parameters["MaxNumberOfOperations"]);
int width = (int)Math.Round(parameters["Width"]);
int height = (int)Math.Round(parameters["Height"]);
int numOfOperations = rand.Next(1, maxNumberOfOperations);
int operationLib = operations.Count();
FeatureModel f = new FeatureModel();
for (int i = 0; i < numOfOperations; i++)
{
f.operationStack.Add(new AtomicOperation(rand.Next(0, width), rand.Next(0, height), rand.Next(0, operationLib)));
}
return(f);
throw new NotImplementedException();
}
public void ResetModels(Dictionary <string, double> parameters)
{
InternalModels.Clear();
this.TrainCount = 0;
this.ContextSet = false;
this.LabelSet = false;
this.sw = new Stopwatch();
this.IndicationStrength = new IndicationStrength();
this.IndicationStrengthPerLabel = new Dictionary <Label, IndicationStrength>();
int numberOfModels = (int)Math.Round(parameters["NumberOfModels"]);
int maxNumberOfOperations = (int)Math.Round(parameters["MaxNumberOfOperations"]);
int width = (int)Math.Round(parameters["Width"]);
int height = (int)Math.Round(parameters["Height"]);
for (int i = 0; i < numberOfModels; i++)
{
InternalModels.Add(FeatureModel.New(parameters));
}
}
