public void run()
{
init();
// delete already existing data from database
db.ExecuteNonQuery("DELETE FROM " + Constants.ExperimentsTable + " WHERE algorithm_id = " + experimentMethodCode + " and population_group = " + experimentGroup);
// At this stage we have everything we need to run the experiment
// We should run the experiment on 5 different parameters mentioned in ExperimentInputParams
var inputParams = new ExperimentInputParams();
Users = new List <User>(50000);
for (int i = 0; i < Users.Capacity; i++)
{
Users.Add(null);
}
foreach (var pop in inputParams.percentOfParticipants)
{
foreach (var pou in inputParams.percentOfUpdatesUsed)
{
for (int i = 0; i < Users.Capacity; i++)
{
Users[i] = null;
}
UserTags = null;
GC.Collect();
GC.WaitForPendingFinalizers();
UserTags = (from tag in TotalReportedUserTags where tag.RandomUserValue <= pop && tag.RandomColumnValue <= pou select tag).ToList();
var usersids = (from tag in UserTags select new { id = tag.UserID, trust = tag.UserTrust }).Distinct().ToList();
for (int i = 0; i < usersids.Count; i++)
{
Users[usersids[i].id] = new User(usersids[i].id, usersids[i].trust, 50);
}
foreach (var dc in inputParams.discounted)
{
foreach (var mt in inputParams.maxTrust)
{
foreach (var pot in inputParams.percentOfTraining)
{
var options = new ExperimentOptions(dc, mt, pop, pou, pot, experimentMethodCode, experimentGroup);
if (UserTags.Count > 0)
{
Method method = new Method(Occupancies, Users, UserTags, options);
MethodPerformance performance = method.Execute();
int experiment_id = storeExperiment2db(performance, options);
}
}
}
}
}
}
}
private void GetOccupancyPenaltySumation()
{
double sum11 = 0, sum12 = 0, sum13 = 0, sum21 = 0, sum22 = 0, sum23 = 0;
int counter = 0;
var PenaltyMatrix = new ExperimentInputParams().PenaltyMatrix;
for (int i = 0; i < Occupancies.Count; i++)
{
if (Occupancies[i].CountInEvaluation)
{
if (Occupancies[i].Day >= StopTrainingDay)
{
var oc = Occupancies[i];
sum11 += PenaltyMatrix[oc.OccupancyTag - 1][oc.PredictedOccupancyTag - 1];
sum12 += PenaltyMatrix[oc.OccupancyTag - 1][oc.MaxVoteOccupancyTag - 1];
sum13 += PenaltyMatrix[oc.OccupancyTag - 1][oc.RandomOccupancyTag - 1];
counter++;
}
}
}
OccupancyPenaltyPerformance = new Performance[] { new Performance(sum11 / counter, -1), new Performance(sum12 / counter, -1), new Performance(sum13 / counter, -1) }; // pred, maxvote, random
}
