private int storeExperiment2db(MethodPerformance performance, ExperimentOptions options)
{
StringBuilder query = new StringBuilder();
query.Append("INSERT INTO " + Constants.ExperimentsTable + " (algorithm_id,population_group,algorithm_name,discounted,max_trust,pop,pou,pot,occupancy_pred_rate,occupancy_mse,trust_pred_rate,trust_mse,processing_time,random_rate,random_mse,pcc,scc,maxvote_rate,maxvote_mse,averagePenalties_pred,averagePenalties_maxvote,averagePenalties_random) VALUES (");
string[] vals = new string[] {
experimentMethodCode.ToString(),
experimentGroup.ToString(),
"'" + experimentName + "'",
options.discounted ? "1" : "0",
options.maxTrust ? "1" : "0",
options.pop.ToString(),
options.pou.ToString(),
options.pot.ToString(),
performance.OccupancyTagVectorDifferencePerformance[0].rate.ToString(),
performance.OccupancyTagVectorDifferencePerformance[0].mse.ToString(),
performance.TrustPredictionVectorDifference[0].rate.ToString(),
performance.TrustPredictionVectorDifference[0].mse.ToString(),
performance.TotalProcessorTicks.ToString(),
performance.OccupancyTagVectorDifferencePerformance[2].rate.ToString(),
performance.OccupancyTagVectorDifferencePerformance[2].mse.ToString(),
performance.Pcc.ToString(),
performance.Scc.ToString(),
performance.OccupancyTagVectorDifferencePerformance[1].rate.ToString(),
performance.OccupancyTagVectorDifferencePerformance[1].mse.ToString(),
performance.OccupancyPenaltyPerformance[0].rate.ToString(),
performance.OccupancyPenaltyPerformance[1].rate.ToString(),
performance.OccupancyPenaltyPerformance[2].rate.ToString()
};
string values = string.Join(",", vals);
query.Append(values + ")");
string qstring = query.ToString();
if (!db.ExecuteNonQuery(qstring))
{
Console.WriteLine("Failed");
}
else
{
int experiment_id = int.Parse(db.ExecuteQuery("select top 1 id from experiments order by timeOfCompletion desc")["id"][0]);
//query.Clear();
//foreach (var item in Occupancies)
//{
// if(!item.IsTrainingDay)
// // store to simulated occupancies table
// query.Append(string.Format("INSERT INTO [dbo].[SimulatedOccupancies] ([experiment_id] ,[real_tag] ,[predicted_tag] ,[maxvote_tag], [hour], [weekday], [day], [section]) VALUES ('{0}',{1},{2},{3},{4}, {5}, {6}, {7});\n",
// experiment_id, item.OccupancyTag, item.PredictedOccupancyTag, item.MaxVoteOccupancyTag, item.Hour, item.Weekday, item.Day, item.Section));
//}
//qstring = query.ToString();
//if (!db.ExecuteNonQuery(qstring))
// Console.WriteLine("Failed");
//else
return(experiment_id);
}
return(-1);
}
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);
}
}
}
}
}
}
}
