public override void Initialise(LearnerParameters parameters, int iteration)
{
tolerance = (double)parameters.AdditionalParameters["threshold"];
states = (int)(parameters.Minimum + (iteration * parameters.StepSize));
}
public override void Initialise(LearnerParameters parameters, int iteration) { }
public override void Initialise(LearnerParameters parameters, int iteration)
{
threshold = (parameters.Minimum + (iteration * parameters.StepSize));
convergenceThreshold = (double)parameters.AdditionalParameters["threshold"];
epsilon = (double)parameters.AdditionalParameters["epsilon"];
}
public override void Initialise(LearnerParameters parameters, int iteration)
{
throw new NotImplementedException();
}
public override void Initialise(LearnerParameters parameters, int iteration)
{
threshold = (parameters.Minimum + (iteration * parameters.StepSize));
}
