public OveruseEstimator(OverUseDetectorOptions overUseDetectorOptions)
{
OverUseDetectorOptions = overUseDetectorOptions;
num_of_deltas_ = 0;
slope_ = overUseDetectorOptions.initial_slope;
offset_ = overUseDetectorOptions.initial_offset;
prev_offset_ = overUseDetectorOptions.initial_offset;
E_ = new double[2, 2];
process_noise_ = new double[2];
avg_noise_ = overUseDetectorOptions.initial_avg_noise;
var_noise_ = overUseDetectorOptions.initial_var_noise;
ts_delta_hist_ = new List <double>();
E_ = overUseDetectorOptions.initial_e;
process_noise_ = overUseDetectorOptions.initial_process_noise;
}
static void Main(string[] args)
{
OverUseDetectorOptions overUseDetectorOptions = new OverUseDetectorOptions();
OveruseEstimator overuseEstimator = new OveruseEstimator(overUseDetectorOptions);
var list = new List <TesData>();
for (int i = 0; i < 100; i++)
{
TesData tesData = new TesData()
{
size_d = new Random().Next(0, 10000), ts_d = new Random().Next(0, 100), t_d = new Random().Next(10, 200)
};
list.Add(tesData);
}
overuseEstimator.Update(20, 10, 1084, BandwidthUsage.kBwNormal);
Console.ReadLine();
}
