public ParameterdCandidateStrategy(CandidateParameter cp = null, ParameterdCandidateStrategy parent = null, IBestCandidateSelector bestCandidateSelector = null) { if (cp == null) { cp = new CandidateParameter("Default"); } this.CandidateParameter = cp; if (cp.ClassifierType == null && !TestParameters.EnableExcludeClassifier) { cp.SymbolCount = 1; cp.PeriodCount = 1; cp.PeriodTimeCount = 0; cp.PrevTimeCount = 0; } InitClassifierInfos(parent); if (TestParameters2.RealTimeMode) { m_enableDetailLogLevel2 = false; } m_bestCandidateSelector = bestCandidateSelector; }
public ParameterdCandidateStrategy(CandidateParameter cp = null, ParameterdCandidateStrategy parent = null, IBestCandidateSelector bestCandidateSelector = null) { if (cp == null) { cp = new CandidateParameter("Default"); } this.CandidateParameter = cp; if (cp.ClassifierType == null && !TestParameters.EnableExcludeClassifier) { cp.SymbolCount = 1; cp.PeriodCount = 1; cp.PeriodTimeCount = 0; cp.PrevTimeCount = 0; } InitClassifierInfos(parent); if (TestParameters2.RealTimeMode) { m_enableDetailLogLevel2 = false; } m_bestCandidateSelector = bestCandidateSelector; }
public static void SaveCCScoresToDb(DateTime nowDate, CandidateParameter cp, ParameterdCandidateStrategy pcs) { string tableName = string.Format("{0}_CCSCORE_{1}", cp.MainSymbol, cp.DealInfoLastMinutes / (7 * 24 * 12 * 5)); long nowTime = WekaUtils.GetTimeFromDate(nowDate); try { Feng.Data.DbHelper.Instance.ExecuteNonQuery(string.Format("SELECT TOP 1 * FROM {0} WHERE TIME = -1", tableName)); } catch (Exception) { string sqlCreate = string.Format(@"CREATE TABLE {0}( [Time] [bigint] NOT NULL, [scores] [varbinary](max) NOT NULL, [nda] [varbinary](max) NOT NULL, [nds] [varbinary](max) NOT NULL, CONSTRAINT [PK_{0}] PRIMARY KEY CLUSTERED ( [Time] ASC )WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY] ) ON [PRIMARY]", tableName); Feng.Data.DbHelper.Instance.ExecuteNonQuery(sqlCreate); } long[, ,] ndas = new long[Parameters.AllDealTypes.Length, cp.BatchTps.Length, cp.BatchSls.Length]; long[, ,] ndss = new long[Parameters.AllDealTypes.Length, cp.BatchTps.Length, cp.BatchSls.Length]; double[, ,] nowScores = new double[Parameters.AllDealTypes.Length, cp.BatchTps.Length, cp.BatchSls.Length]; pcs.IterateClassifierInfos((k, ii, jj, h) => { nowScores[k, ii, jj] = pcs.m_classifierInfoIdxs[k, ii, jj, h].Deals.NowScore; ndas[k, ii, jj] = pcs.m_classifierInfoIdxs[k, ii, jj, h].Deals.DealLastTimeAvg; ndss[k, ii, jj] = pcs.m_classifierInfoIdxs[k, ii, jj, h].Deals.DealLastTimeStd; }); string sql = string.Format("INSERT INTO [{0}] ([Time],[scores],[nda],[nds]) VALUES (@Time, @score, @nda, @nds)", tableName); var cmd = new System.Data.SqlClient.SqlCommand(sql); cmd.Parameters.AddWithValue("@Time", nowTime); cmd.Parameters.AddWithValue("@score", CCScoreData.SerializeScores(nowScores)); cmd.Parameters.AddWithValue("@nda", CCScoreData.SerializeScoreTimes(ndas)); cmd.Parameters.AddWithValue("@nds", CCScoreData.SerializeScoreTimes(ndss)); try { Feng.Data.DbHelper.Instance.ExecuteNonQuery(string.Format("DELETE FROM {0} WHERE TIME = '{1}'", tableName, WekaUtils.GetTimeFromDate(nowDate))); Feng.Data.DbHelper.Instance.ExecuteNonQuery(cmd); } catch (Exception) { } }
public List<ParameterdCandidateStrategy> AddRealDealCandidates(string symbol, int dealInfoLastWeek, IBestCandidateSelector bcs = null) { List<ParameterdCandidateStrategy> realDealsCandidates = new List<ParameterdCandidateStrategy>(); //TestParameters.InitTpsls(20, 10); //realDealsCandidates.Add(new RealDealCandidate("1M_10", 1 * 4 * 7 * 24 * 12 * 5, this)); //realDealsCandidates.Add(new RealDealCandidate("1.5M_10", (int)(1.5 * 4 * 7 * 24 * 12 * 5), this)); //realDealsCandidates.Add(new RealDealCandidate("2M_10", 2 * 4 * 7 * 24 * 12 * 5, this)); { CandidateParameter cp = new CandidateParameter(symbol); int delta = TestParameters.GetTpSlMinDelta(symbol) * TestParameters2.nTpsl; cp.InitTpsls(TestParameters2.tpStart, delta, TestParameters2.tpCount, TestParameters2.slStart, delta, TestParameters2.slCount); cp.SymbolStart = Array.IndexOf<string>(cp.AllSymbols, symbol); cp.SymbolCount = 1; cp.PeriodStart = Array.IndexOf<string>(cp.AllPeriods, "M1"); cp.PeriodCount = 1; cp.DealInfoLastMinutes = dealInfoLastWeek * 7 * 24 * 12 * 5; cp.Group = 1; InitBatchBatch(cp); if (cp.ClassifierType == null && !TestParameters.EnableExcludeClassifier) { cp.AllIndNames.Clear(); cp.AllIndNames2.Clear(); } else { cp.DeleteUnusedIndicators(); //GenerateBatchEmptyInstance(); } ParameterdCandidateStrategy mainPcs = new ParameterdCandidateStrategy(cp, null, bcs); realDealsCandidates.Add(mainPcs); // for (int i = 2; i <= 3; ++i) // { // var cp2 = cp.Clone(); // cp2.Name += "_" + i.ToString(); // cp2.DealInfoLastMinutes = i * 2 * 4 * 7 * 24 * 12 * 5; // realDealsCandidates.Add(new ParameterdCandidateStrategy(cp2)); // } } { //CandidateParameter cp = new CandidateParameter("GBPUSD"); //cp.InitTpsls(10, 60); //cp.SymbolStart = 1; //cp.DealInfoLastMinutes = 2 * 4 * 7 * 24 * 12 * 5; //cp.Group = 2; //ParameterdCandidateStrategy mainPcs = new ParameterdCandidateStrategy(cp); //mainPcs.m_bestCandidateSelector = new BestCandidateSelector1(0); //realDealsCandidates.Add(mainPcs); // for (int i = 2; i <= 3; ++i) // { // var cp2 = cp.Clone(); // cp2.Name += "_" + i.ToString(); // cp2.DealInfoLastMinutes = i * 2 * 4 * 7 * 24 * 12 * 5; // realDealsCandidates.Add(new ParameterdCandidateStrategy(cp2)); // } } { //CandidateParameter cp = new CandidateParameter("EURGBP"); //cp.InitTpsls(10, 30); //cp.SymbolStart = 6; //cp.DealInfoLastMinutes = 6 * 4 * 7 * 24 * 12 * 5; //cp.Group = 3; //ParameterdCandidateStrategy mainPcs = new ParameterdCandidateStrategy(cp); //mainPcs.m_bestCandidateSelector = new BestCandidateSelector1(0); //realDealsCandidates.Add(mainPcs); // // for (int i = 2; i <= 3; ++i) // // { // // var cp2 = cp.Clone(); // // cp2.Name += "_" + i.ToString(); // // cp2.DealInfoLastMinutes = i * 2 * 4 * 7 * 24 * 12 * 5; // // realDealsCandidates.Add(new ParameterdCandidateStrategy(cp2)); // // } } foreach (var i in realDealsCandidates) { OutputTestInfoCandidate(i.CandidateParameter); WekaUtils.Instance.WriteLog(string.Format("BestCandidateSelector = {0}", i.BestCandidateSelector == null ? "Null" : i.BestCandidateSelector.ToString())); } return realDealsCandidates; }
public void BuildExcludeModels() { Parameters.TotalCanUseMemory = 600 * 1000 * 1000; TestParameters.SaveDataFile = false; //m_batchBufferMinutes = (new TimeSpan(365 + 5, 0, 0, 0)).TotalMinutes; weka.classifiers.Classifier cls = new weka.classifiers.functions.LibSVM(); (cls as weka.classifiers.AbstractClassifier).setOptions(weka.core.Utils.splitOptions("-S 0 -K 2")); //Classifier cls = new MincostLiblinearClassifier(); //Classifier cls = new weka.classifiers.functions.LibLINEAR(); //(cls as AbstractClassifier).setOptions(weka.core.Utils.splitOptions("-S 0 -P -C 1 -B 1")); //var cls = new SvmLightClassifier(); //cls.setOptions(weka.core.Utils.splitOptions("-c 20 -l 4 -w 1 --p 1 --b 1")); var cp = new CandidateParameter("BuildExcludeModels"); cp.DeleteUnusedIndicators(); ParameterdCandidateStrategy realDealCandidate = new ParameterdCandidateStrategy(cp); SetTrainTime(new DateTime(2009, 1, 1), new DateTime(2009, 4, 30)); //m_generateOneClassHp = 0; realDealCandidate.IterateClassifierInfos2(new Func<CandidateClassifier, bool>((clsInfo) => { string modelFileName = clsInfo.WekaData.GetExcludeModelFileName(clsInfo.Name); //if (!System.IO.File.Exists(modelFileName)) { WekaUtils.Instance.WriteLog(string.Format("{0} is building exclude model.", clsInfo.Name)); //clsInfo.WekaData.m_currentTestHour = clsInfo.Hour; clsInfo.WekaData.GenerateData(true, false); WekaUtils.TrainInstances(clsInfo.WekaData.CurrentTrainInstancesNew, modelFileName, cls); MyEvaluation eval = new MyEvaluation(); eval.evaluateModel(cls, clsInfo.WekaData.CurrentTrainInstancesNew); return true; } //else //{ // m_currentTestHour = h; // GenerateData(true, false); // cls = WekaUtils.TryLoadClassifier(modelFileName); // var eval = WekaUtils.TestInstances(m_trainInstancesNew[k], cls); //} })); }
public List <CandidateClassifier> GetBestClassifierInfo(ParameterdCandidateStrategy parent) { double[] sum = new double[Parameters.AllDealTypes.Length]; double[] oscsum = new double[Parameters.AllDealTypes.Length]; for (int k = 0; k < Parameters.AllDealTypes.Length; ++k) { sum[k] = 0; oscsum[k] = 0; } parent.IterateClassifierInfos2((cc) => { sum[WekaUtils.GetDealTypeIdx(cc.DealType)] += cc.Deals.NowScore; }); int oscCnt = 0; parent.IterateClassifierInfos((k, i, j, h) => { if (TestParameters.EnablePerhourTrain) { if (h != parent.CurrentTestHour) { return(true); } } if (k > 0) { return(true); } if (parent.m_classifierInfoIdxs[0, i, j, h].Deals.NowScore <= 0 && parent.m_classifierInfoIdxs[1, i, j, h].Deals.NowScore <= 0) { oscsum[0] += parent.m_classifierInfoIdxs[0, i, j, h].Deals.NowScore; oscsum[1] += parent.m_classifierInfoIdxs[1, i, j, h].Deals.NowScore; oscCnt++; } return(true); }); //for (int k = 0; k < Parameters.AllDealTypes.Length; ++k) //{ // sum[k] -= oscsum[k]; //} //double oscsums = oscsum[0] + oscsum[1]; int selectedDeal = -1; if (sum[0] < sum[1] && sum[0] < 0) { selectedDeal = 0; } else if (sum[1] < sum[0] && sum[1] < 0) { selectedDeal = 1; } if (selectedDeal == -1) { return(null); } if (oscCnt > 400) { return(null); } //selectedDeal = 1 - selectedDeal; List <CandidateClassifier> ret = new List <CandidateClassifier>(); parent.IterateClassifierInfos((k, i, j, h) => { if (k != selectedDeal) { return; } if (TestParameters.EnablePerhourTrain) { if (h != parent.CurrentTestHour) { return; } } switch (m_choiceType) { case 0: //if (parent.m_classifierInfoIdxs[k, i, j, h].Deals.NowScore < 0)// && parent.m_classifierInfoIdxs[1 - k, i, j, h].Deals.NowScore > 0) { ret.Add(parent.m_classifierInfoIdxs[k, i, j, h]); } break; //case 1: // if (parent.m_classifierInfoIdxs[k, i, j, h].Deals.NowScore > 0 && parent.m_classifierInfoIdxs[1 - k, i, j, h].Deals.NowScore > 0) // { // ret.Add(parent.m_classifierInfoIdxs[k, i, j, h]); // } // break; //case 2: // if (parent.m_classifierInfoIdxs[k, i, j, h].Deals.NowScore < 0 && parent.m_classifierInfoIdxs[1 - k, i, j, h].Deals.NowScore > 0) // { // ret.Add(parent.m_classifierInfoIdxs[k, i, j, h]); // } // break; //case 3: // if (parent.m_classifierInfoIdxs[k, i, j, h].Deals.NowScore > 0 && parent.m_classifierInfoIdxs[1 - k, i, j, h].Deals.NowScore < 0) // { // ret.Add(parent.m_classifierInfoIdxs[k, i, j, h]); // } // break; case 4: if (parent.m_classifierInfoIdxs[k, i, j, h].Deals.NowScore < 0 && parent.m_classifierInfoIdxs[1 - k, i, j, h].Deals.NowScore > 0) { ret.Add(parent.m_classifierInfoIdxs[1 - k, i, j, h]); } break; //case 5: // if (parent.m_classifierInfoIdxs[k, i, j, h].Deals.NowScore > 0 && parent.m_classifierInfoIdxs[1 - k, i, j, h].Deals.NowScore > 0) // { // ret.Add(parent.m_classifierInfoIdxs[1 - k, i, j, h]); // } // break; //case 6: // if (parent.m_classifierInfoIdxs[k, i, j, h].Deals.NowScore < 0 && parent.m_classifierInfoIdxs[1 - k, i, j, h].Deals.NowScore > 0) // { // ret.Add(parent.m_classifierInfoIdxs[1 - k, i, j, h]); // } // break; //case 7: // if (parent.m_classifierInfoIdxs[k, i, j, h].Deals.NowScore > 0 && parent.m_classifierInfoIdxs[1 - k, i, j, h].Deals.NowScore < 0) // { // ret.Add(parent.m_classifierInfoIdxs[1 - k, i, j, h]); // } // break; } }); return(ret); }
protected void InitClassifierInfos(ParameterdCandidateStrategy parent = null) { //int[] sls = m_batchSls != null ? m_batchSls : (m_sl.HasValue ? new int[] { m_sl.Value } : new int[] { 50, 70 }); //int[][] tps = m_batchTps != null ? m_batchTps : (m_tp.HasValue ? new int[][] { new int[] { m_tp.Value } } // : new int[][] { new int[] { 100, 140 }, new int[] { 50, 70 } }); //if (Parameters.AllDealTypes == null || Parameters.AllDealTypes.Length == 0) //{ // Parameters.AllDealTypes = new char[] { 'B', 'S' }; //} if (parent == null) { m_classifierInfos.Clear(); m_classifierInfoIdxs = new CandidateClassifier[Parameters.AllDealTypes.Length, this.CandidateParameter.BatchTps.Length, this.CandidateParameter.BatchSls.Length, Parameters.AllHour]; m_totalScores = new double[m_classifierInfoIdxs.GetLength(0), m_classifierInfoIdxs.GetLength(1), m_classifierInfoIdxs.GetLength(2), m_classifierInfoIdxs.GetLength(3)]; m_totalDeals = new int[m_classifierInfoIdxs.GetLength(0), m_classifierInfoIdxs.GetLength(1), m_classifierInfoIdxs.GetLength(2), m_classifierInfoIdxs.GetLength(3)]; for (int k = 0; k < m_classifierInfoIdxs.GetLength(0); ++k) { for (int i = 0; i < m_classifierInfoIdxs.GetLength(1); ++i) { for (int j = 0; j < m_classifierInfoIdxs.GetLength(2); ++j) { int tp = this.CandidateParameter.BatchTps[i]; int sl = this.CandidateParameter.BatchSls[j]; if (!TestParameters.EnablePerhourTrain) { string name = string.Format("{0}_{1}_{2}", Parameters.AllDealTypes[k], tp, sl); m_classifierInfos[name] = new CandidateClassifier(name, tp, sl, Parameters.AllDealTypes[k], -1, this.CandidateParameter); m_classifierInfoIdxs[k, i, j, 0] = m_classifierInfos[name]; m_totalScores[k, i, j, 0] = 0; m_totalDeals[k, i, j, 0] = 0; } else { for (int h = 0; h < m_classifierInfoIdxs.GetLength(3); ++h) { //if (h != 9) // continue; string name = string.Format("{0}_{1}_{2}_H{3}", Parameters.AllDealTypes[k], tp, sl, h); m_classifierInfos[name] = new CandidateClassifier(name, tp, sl, Parameters.AllDealTypes[k], h, this.CandidateParameter); m_classifierInfoIdxs[k, i, j, h] = m_classifierInfos[name]; m_totalScores[k, i, j, h] = 0; m_totalDeals[k, i, j, h] = 0; } } } } } this.HasParent = false; } else { m_classifierInfoIdxs = parent.m_classifierInfoIdxs; m_totalScores = new double[m_classifierInfoIdxs.GetLength(0), m_classifierInfoIdxs.GetLength(1), m_classifierInfoIdxs.GetLength(2), m_classifierInfoIdxs.GetLength(3)]; m_totalDeals = new int[m_classifierInfoIdxs.GetLength(0), m_classifierInfoIdxs.GetLength(1), m_classifierInfoIdxs.GetLength(2), m_classifierInfoIdxs.GetLength(3)]; m_classifierInfos = parent.m_classifierInfos; this.HasParent = true; } }
public List<CandidateClassifier> GetBestClassifierInfo(ParameterdCandidateStrategy parent) { double[] sum = new double[Parameters.AllDealTypes.Length]; double[] oscsum = new double[Parameters.AllDealTypes.Length]; for (int k = 0; k < Parameters.AllDealTypes.Length; ++k) { sum[k] = 0; oscsum[k] = 0; } parent.IterateClassifierInfos2( (cc) => { sum[WekaUtils.GetDealTypeIdx(cc.DealType)] += cc.Deals.NowScore; }); int oscCnt = 0; parent.IterateClassifierInfos((k, i, j, h) => { if (TestParameters.EnablePerhourTrain) { if (h != parent.CurrentTestHour) return true; } if (k > 0) return true; if (parent.m_classifierInfoIdxs[0, i, j, h].Deals.NowScore <= 0 && parent.m_classifierInfoIdxs[1, i, j, h].Deals.NowScore <= 0) { oscsum[0] += parent.m_classifierInfoIdxs[0, i, j, h].Deals.NowScore; oscsum[1] += parent.m_classifierInfoIdxs[1, i, j, h].Deals.NowScore; oscCnt++; } return true; }); //for (int k = 0; k < Parameters.AllDealTypes.Length; ++k) //{ // sum[k] -= oscsum[k]; //} //double oscsums = oscsum[0] + oscsum[1]; int selectedDeal = -1; if (sum[0] < sum[1] && sum[0] < 0) { selectedDeal = 0; } else if (sum[1] < sum[0] && sum[1] < 0) { selectedDeal = 1; } if (selectedDeal == -1) return null; if (oscCnt > 400) return null; //selectedDeal = 1 - selectedDeal; List<CandidateClassifier> ret = new List<CandidateClassifier>(); parent.IterateClassifierInfos((k, i, j, h) => { if (k != selectedDeal) return; if (TestParameters.EnablePerhourTrain) { if (h != parent.CurrentTestHour) return; } switch (m_choiceType) { case 0: //if (parent.m_classifierInfoIdxs[k, i, j, h].Deals.NowScore < 0)// && parent.m_classifierInfoIdxs[1 - k, i, j, h].Deals.NowScore > 0) { ret.Add(parent.m_classifierInfoIdxs[k, i, j, h]); } break; //case 1: // if (parent.m_classifierInfoIdxs[k, i, j, h].Deals.NowScore > 0 && parent.m_classifierInfoIdxs[1 - k, i, j, h].Deals.NowScore > 0) // { // ret.Add(parent.m_classifierInfoIdxs[k, i, j, h]); // } // break; //case 2: // if (parent.m_classifierInfoIdxs[k, i, j, h].Deals.NowScore < 0 && parent.m_classifierInfoIdxs[1 - k, i, j, h].Deals.NowScore > 0) // { // ret.Add(parent.m_classifierInfoIdxs[k, i, j, h]); // } // break; //case 3: // if (parent.m_classifierInfoIdxs[k, i, j, h].Deals.NowScore > 0 && parent.m_classifierInfoIdxs[1 - k, i, j, h].Deals.NowScore < 0) // { // ret.Add(parent.m_classifierInfoIdxs[k, i, j, h]); // } // break; case 4: if (parent.m_classifierInfoIdxs[k, i, j, h].Deals.NowScore < 0 && parent.m_classifierInfoIdxs[1 - k, i, j, h].Deals.NowScore > 0) { ret.Add(parent.m_classifierInfoIdxs[1 - k, i, j, h]); } break; //case 5: // if (parent.m_classifierInfoIdxs[k, i, j, h].Deals.NowScore > 0 && parent.m_classifierInfoIdxs[1 - k, i, j, h].Deals.NowScore > 0) // { // ret.Add(parent.m_classifierInfoIdxs[1 - k, i, j, h]); // } // break; //case 6: // if (parent.m_classifierInfoIdxs[k, i, j, h].Deals.NowScore < 0 && parent.m_classifierInfoIdxs[1 - k, i, j, h].Deals.NowScore > 0) // { // ret.Add(parent.m_classifierInfoIdxs[1 - k, i, j, h]); // } // break; //case 7: // if (parent.m_classifierInfoIdxs[k, i, j, h].Deals.NowScore > 0 && parent.m_classifierInfoIdxs[1 - k, i, j, h].Deals.NowScore < 0) // { // ret.Add(parent.m_classifierInfoIdxs[1 - k, i, j, h]); // } // break; } }); return ret; }
protected void InitClassifierInfos(ParameterdCandidateStrategy parent = null) { //int[] sls = m_batchSls != null ? m_batchSls : (m_sl.HasValue ? new int[] { m_sl.Value } : new int[] { 50, 70 }); //int[][] tps = m_batchTps != null ? m_batchTps : (m_tp.HasValue ? new int[][] { new int[] { m_tp.Value } } // : new int[][] { new int[] { 100, 140 }, new int[] { 50, 70 } }); //if (Parameters.AllDealTypes == null || Parameters.AllDealTypes.Length == 0) //{ // Parameters.AllDealTypes = new char[] { 'B', 'S' }; //} if (parent == null) { m_classifierInfos.Clear(); m_classifierInfoIdxs = new CandidateClassifier[Parameters.AllDealTypes.Length, this.CandidateParameter.BatchTps.Length, this.CandidateParameter.BatchSls.Length, Parameters.AllHour]; m_totalScores = new double[m_classifierInfoIdxs.GetLength(0), m_classifierInfoIdxs.GetLength(1), m_classifierInfoIdxs.GetLength(2), m_classifierInfoIdxs.GetLength(3)]; m_totalDeals = new int[m_classifierInfoIdxs.GetLength(0), m_classifierInfoIdxs.GetLength(1), m_classifierInfoIdxs.GetLength(2), m_classifierInfoIdxs.GetLength(3)]; for (int k = 0; k < m_classifierInfoIdxs.GetLength(0); ++k) { for (int i = 0; i < m_classifierInfoIdxs.GetLength(1); ++i) { for (int j = 0; j < m_classifierInfoIdxs.GetLength(2); ++j) { int tp = this.CandidateParameter.BatchTps[i]; int sl = this.CandidateParameter.BatchSls[j]; if (!TestParameters.EnablePerhourTrain) { string name = string.Format("{0}_{1}_{2}", Parameters.AllDealTypes[k], tp, sl); m_classifierInfos[name] = new CandidateClassifier(name, tp, sl, Parameters.AllDealTypes[k], -1, this.CandidateParameter); m_classifierInfoIdxs[k, i, j, 0] = m_classifierInfos[name]; m_totalScores[k, i, j, 0] = 0; m_totalDeals[k, i, j, 0] = 0; } else { for (int h = 0; h < m_classifierInfoIdxs.GetLength(3); ++h) { //if (h != 9) // continue; string name = string.Format("{0}_{1}_{2}_H{3}", Parameters.AllDealTypes[k], tp, sl, h); m_classifierInfos[name] = new CandidateClassifier(name, tp, sl, Parameters.AllDealTypes[k], h, this.CandidateParameter); m_classifierInfoIdxs[k, i, j, h] = m_classifierInfos[name]; m_totalScores[k, i, j, h] = 0; m_totalDeals[k, i, j, h] = 0; } } } } } this.HasParent = false; } else { m_classifierInfoIdxs = parent.m_classifierInfoIdxs; m_totalScores = new double[m_classifierInfoIdxs.GetLength(0), m_classifierInfoIdxs.GetLength(1), m_classifierInfoIdxs.GetLength(2), m_classifierInfoIdxs.GetLength(3)]; m_totalDeals = new int[m_classifierInfoIdxs.GetLength(0), m_classifierInfoIdxs.GetLength(1), m_classifierInfoIdxs.GetLength(2), m_classifierInfoIdxs.GetLength(3)]; m_classifierInfos = parent.m_classifierInfos; this.HasParent = true; } }