From cea2cf2f57855bd309847c1766c4510299c47bd0 Mon Sep 17 00:00:00 2001 From: angelsburger90 <71116188+angelsburger90@users.noreply.github.com> Date: Thu, 7 Oct 2021 00:01:11 +0800 Subject: [PATCH 1/3] - Add dashboard report game next draw day - Pluralized the label on the jackpot group items on Dashboard Listview - Copying data to clipboard, increase the gap between waiting time to 200ms --- Forms/MainFrm.cs | 2 +- Includes/Classes/Reports/DashboardReport.cs | 39 ++++++++++++++++++++- Resources/messages_en.properties | 7 +++- 3 files changed, 45 insertions(+), 3 deletions(-) diff --git a/Forms/MainFrm.cs b/Forms/MainFrm.cs index d979951..10c218e 100644 --- a/Forms/MainFrm.cs +++ b/Forms/MainFrm.cs @@ -578,7 +578,7 @@ private void ObjectLstVwLatestBetClipboardCopy() sb.ToString(), // Text to store in clipboard false, // Do not keep after our application exits 10, // Retry 10 times - 100); // 100 ms delay between retries + 200); // 100 ms delay between retries } } catch (Exception ex) diff --git a/Includes/Classes/Reports/DashboardReport.cs b/Includes/Classes/Reports/DashboardReport.cs index d7783a6..ec110e3 100644 --- a/Includes/Classes/Reports/DashboardReport.cs +++ b/Includes/Classes/Reports/DashboardReport.cs @@ -61,6 +61,8 @@ public List GetDashboardReport() TriggerLogs(ResourcesUtils.GetMessage("drpt_lot_trigger_logs_16")); dashboardReportList.AddRange(GetLatestDrawResultsJackpotPerLotteryGame()); TriggerLogs(ResourcesUtils.GetMessage("drpt_lot_trigger_logs_17")); + dashboardReportList.AddRange(GetLotteriesNextBetDrawDate()); + TriggerLogs(ResourcesUtils.GetMessage("drpt_lot_trigger_logs_18")); return dashboardReportList; } public List GetDashboardReportInGroup() @@ -422,9 +424,12 @@ private List GetLatestDrawResultsJackpotPerLotteryGame { if (draw == null) continue; Lottery lottery = lotteriesGameList.Find((lotteryObj) => (int)lotteryObj.GetGameMode() == draw.GetGameCode()); + String valueLabel = "drpt_lot_draw_jackpot_winners_lbl"; + if (draw.GetWinnersCount() > 1) valueLabel += "_plural"; + String key = lottery.GetDescription(); String value = (draw.HasWinners()) ? - ResourcesUtils.GetMessage("drpt_lot_draw_jackpot_winners_lbl", + ResourcesUtils.GetMessage(valueLabel, draw.GetJackpotAmtFormatted(), draw.GetWinnersCount().ToString()) : draw.GetJackpotAmtFormatted(); DashboardReportItemSetup itm = GenModel(key, value); @@ -436,6 +441,38 @@ private List GetLatestDrawResultsJackpotPerLotteryGame } return itemsList; } + + private List GetLotteriesNextBetDrawDate() + { + List itemsList = new List(); + List latestDrawResults = LotteryDataServices.GetLatestDrawResults(); + List lotteriesGameList = LotteryDataServices.GetLotteries(); + + foreach(Lottery lottery in lotteriesGameList) + { + if (lottery == null) continue; + LotteryDataServices lotteryDataServicesTMP = new LotteryDataServices(new LotteryDetails(lottery.GetGameMode())); + String valueLabel = "drpt_lot_next_drawdate_per_lottery_value"; + DateTime nextDrawDate = lotteryDataServicesTMP.GetNextDrawDate(); + if (nextDrawDate.Date.CompareTo(DateTime.Now.Date) == 0) valueLabel += "_today"; + + String key = lottery.GetDescription(); + String value = ResourcesUtils.GetMessage(valueLabel, + DateTimeConverterUtils.ConvertToFormat(nextDrawDate, + DateTimeConverterUtils.STANDARD_DATE_FORMAT_WITH_DAYOFWEEK)); + + DashboardReportItemSetup itm = GenModel(key, value); + itm.GroupKeyName = ResourcesUtils.GetMessage("drpt_lot_next_drawdate_per_lottery_lbl"); + itm.ReportItemDecoration.IsHyperLink = true; + itm.DashboardReportItemAction = DashboardReportItemActions.OPEN_LOTTERY_GAME; + itm.Tag = lottery.GetGameMode(); + itemsList.Add(itm); + } + return itemsList; + } + + + public String ReportTitle { get diff --git a/Resources/messages_en.properties b/Resources/messages_en.properties index f19d4b8..ca93489 100644 --- a/Resources/messages_en.properties +++ b/Resources/messages_en.properties @@ -55,7 +55,11 @@ drpt_lot_bet_current_month_desc=Week {0}: {1} - {2} to {3} drpt_lot_draw_group_lbl=Latest available draw results! drpt_lot_draw_value={0} ({1} day(s) ago). drpt_lot_draw_jackpot_lbl=Latest jackpot on each game! -drpt_lot_draw_jackpot_winners_lbl={0}, There's {1} lucky winner(s) today! +drpt_lot_draw_jackpot_winners_lbl={0}, There is {1} lucky winner! +drpt_lot_draw_jackpot_winners_lbl_plural={0}, There's {1} lucky winners! +drpt_lot_next_drawdate_per_lottery_lbl=Lotteries next draw date. +drpt_lot_next_drawdate_per_lottery_value={0} +drpt_lot_next_drawdate_per_lottery_value_today={0} - Today! drpt_lot_trigger_logs_module_name=Dash Board Report Logs drpt_lot_trigger_logs_1=Getting your lottery bets waiting for official draw results. drpt_lot_trigger_logs_2=Getting the previous draw dates. @@ -74,6 +78,7 @@ drpt_lot_trigger_logs_14=Calculating you monthly and annual spending in your bet drpt_lot_trigger_logs_15=Getting your lottery bets on this month. drpt_lot_trigger_logs_16=Getting the latest draw results per lottery game. drpt_lot_trigger_logs_17=Getting the latest jackpot on the record per lottery game. +drpt_lot_trigger_logs_18=Lotteries next draw date. ##~~~~~~~~~~~ COMMON COMPONENTS FORM ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ common_btn_exit=Exit From 684c2ec241f7aace9836e94af286813e8f5cb24d Mon Sep 17 00:00:00 2001 From: angelsburger90 <71116188+angelsburger90@users.noreply.github.com> Date: Thu, 7 Oct 2021 18:33:07 +0800 Subject: [PATCH 2/3] - Add new Machine Learning - Draw Result Win Count Predictor --- App.config | 2 +- .../MLModel_5H_DrawResultWinCount.zip | Bin 0 -> 534439 bytes ...MLModel_5H_DrawResultWinCount_original.zip | Bin 0 -> 161196 bytes Forms/Others/MachineLearningFrm.cs | 15 +--- Forms/Ticket/PickGeneratorFrm.cs | 1 + Includes/Classes/Generator/GeneratorType.cs | 3 +- ...tWinCountFastTreeTweedieRandomGenerator.cs | 70 ++++++++++++++++++ .../Types/RandomPredictionSDCARegression.cs | 2 +- ...RandomPredictionSDCARegressionInBetween.cs | 2 +- Includes/Classes/LotteryAppConfiguration.cs | 4 +- Includes/Classes/LotteryDataServices.cs | 7 ++ .../DrawResultWinCountDataIntake.cs | 54 ++++++++++++++ .../DrawResultWinCountInputModel.cs | 39 ++++++++++ .../DrawResultWinCountOutputModel.cs | 13 ++++ .../DrawResultWinCountPredictor.cs | 50 +++++++++++++ .../DrawResultWinCountTrainer.cs | 65 ++++++++++++++++ .../Updates/ApplicationUpdateProcessor.cs | 42 ++++++++++- .../DAO/Impl/LotteryDrawResultDaoImpl.cs | 28 +++++++ .../DAO/Interface/LotteryDrawResultDao.cs | 1 + Includes/Model/Details/AppVersioning.cs | 1 + Includes/Model/Details/LotteryDrawResult.cs | 8 +- .../Model/Details/Setup/AppVersioningSetup.cs | 5 ++ .../Model/Details/Setup/LotteryCommonSetup.cs | 4 + .../Details/Setup/LotteryDrawResultSetup.cs | 40 +++++++++- LottoDataManager.csproj | 6 ++ Properties/AssemblyInfo.cs | 4 +- Properties/Settings.Designer.cs | 2 +- Properties/Settings.settings | 2 +- Resources/messages_en.properties | 15 ++-- 29 files changed, 450 insertions(+), 35 deletions(-) create mode 100644 DatabaseMain/MLModel_5H_DrawResultWinCount.zip create mode 100644 DatabaseMain/MLModel_5H_DrawResultWinCount_original.zip create mode 100644 Includes/Classes/Generator/Types/DrawResultWinCountFastTreeTweedieRandomGenerator.cs create mode 100644 Includes/Classes/ML/FastTreeTweedie/DrawResultWinCount/DrawResultWinCountDataIntake.cs create mode 100644 Includes/Classes/ML/FastTreeTweedie/DrawResultWinCount/DrawResultWinCountInputModel.cs create mode 100644 Includes/Classes/ML/FastTreeTweedie/DrawResultWinCount/DrawResultWinCountOutputModel.cs create mode 100644 Includes/Classes/ML/FastTreeTweedie/DrawResultWinCount/DrawResultWinCountPredictor.cs create mode 100644 Includes/Classes/ML/FastTreeTweedie/DrawResultWinCount/DrawResultWinCountTrainer.cs diff --git a/App.config b/App.config index 168c4c5..3d199ba 100644 --- a/App.config +++ b/App.config @@ -32,7 +32,7 @@ 0 - 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z6#kaCk&=6r=_~ZAmcR1WR{bCI{x@0Q6Cn`#S{o0b?aQ}+cCrit;Q!oTjDPR16gwiM z>n|qNe{!-h;(x%z^!H2!iA++w-v9t=zQ(gZ=dc>-KVV}1i{$mXI zvzDr8{}J!sGUbwL+@O51Z2gm#R_Ol$6U*OgIiJ-T{|~0je_~q2_z##^|DMSO-KCrJ zi>dJ|bAMJ(66-%;V*7h0Z+A(Ze|UcGi;ecH{bSp}{@-N!+svTyD)?7?0sf;u{rP%x zg!6B){}we|Hvaib1c3anEc_XD75Cqu{x>}`pwC(pPaFW?^%M|5@DCBb_PFu?4Jwni z>{qdwl<#k)`tc3v zX#5L&Z1HbN{ucH7fD6bX_?J}Bf3=LO<-bAwU)A&9+p&6GiT(2y0AL;&5P&`!L g&MbibR~0HR1@e!Q^s64n1VDlW00^-B@;|`;13sv(od5s; literal 0 HcmV?d00001 diff --git a/Forms/Others/MachineLearningFrm.cs b/Forms/Others/MachineLearningFrm.cs index 272fc03..f937dd9 100644 --- a/Forms/Others/MachineLearningFrm.cs +++ b/Forms/Others/MachineLearningFrm.cs @@ -12,6 +12,7 @@ using LottoDataManager.Includes.Classes.ML; using LottoDataManager.Includes.Classes.ML.FastTree; using LottoDataManager.Includes.Classes.ML.FastTreeRegression.LottoMatchCount; +using LottoDataManager.Includes.Classes.ML.FastTreeTweedie.DrawResultWinCount; using LottoDataManager.Includes.Classes.ML.SDCARegression; using LottoDataManager.Includes.Classes.ML.TrainerProcessor; using LottoDataManager.Includes.Model; @@ -28,8 +29,6 @@ public partial class MachineLearningFrm : Form private delegate void StopRun(); private bool isUpdateProcessingStarted = false; private LotteryDataServices lotteryDataServices; - private FastTreeTrainer machineLearningModelBuilderFastTree; - private SDCARegressionTrainer machineLearningModelBuilderSDCARegression; private List trainerProcessorAbstractList; public MachineLearningFrm(LotteryDataServices lotteryDataServices) @@ -37,23 +36,13 @@ public MachineLearningFrm(LotteryDataServices lotteryDataServices) InitializeComponent(); this.lotteryDataServices = lotteryDataServices; - this.machineLearningModelBuilderFastTree = new FastTreeTrainer(); - this.machineLearningModelBuilderSDCARegression = new SDCARegressionTrainer(); this.trainerProcessorAbstractList = new List(); - trainerProcessorAbstractList.Add(new FastTreeTrainerDataIntake(this.lotteryDataServices)); trainerProcessorAbstractList.Add(new SDCARegressionTrainerDataIntake(this.lotteryDataServices)); trainerProcessorAbstractList.Add(new LottoMatchCountTrainerDataIntake(this.lotteryDataServices)); - - machineLearningModelBuilderFastTree.ProcessingStatus += MachineLearningModelBuilder_ProcessingStatus; - machineLearningModelBuilderSDCARegression.ProcessingStatus += MachineLearningModelBuilder_ProcessingStatus; + trainerProcessorAbstractList.Add(new DrawResultWinCountDataIntake(this.lotteryDataServices)); log(ResourcesUtils.GetMessage("mac_lrn_log_13")); } - private void MachineLearningModelBuilder_ProcessingStatus(object sender, string e) - { - log(e); - Application.DoEvents(); - } private void btnExit_Click(object sender, EventArgs e) { if(!isUpdateProcessingStarted) this.Close(); diff --git a/Forms/Ticket/PickGeneratorFrm.cs b/Forms/Ticket/PickGeneratorFrm.cs index bf463e6..fba1523 100644 --- a/Forms/Ticket/PickGeneratorFrm.cs +++ b/Forms/Ticket/PickGeneratorFrm.cs @@ -148,6 +148,7 @@ private void EnlistGenerators() DisplayGenerators(new RandomPredictionSDCARegression(this.lotteryDataServices)); DisplayGenerators(new RandomPredictionSDCARegressionInBetween(this.lotteryDataServices)); DisplayGenerators(new LottoCountMatchPredictionFastTreeRegression(this.lotteryDataServices)); + DisplayGenerators(new DrawResultWinCountFastTreeTweedieRandomGenerator(this.lotteryDataServices)); } private void DisplayGenerators(SequenceGenerator seqGen) { diff --git a/Includes/Classes/Generator/GeneratorType.cs b/Includes/Classes/Generator/GeneratorType.cs index 5679d6a..b9433ca 100644 --- a/Includes/Classes/Generator/GeneratorType.cs +++ b/Includes/Classes/Generator/GeneratorType.cs @@ -26,6 +26,7 @@ public enum GeneratorType RANDOM_PREDICTION_DRAW_RESULT = 15, RANDOM_PREDICTION_SDCA_REGRESSION = 16, RANDOM_PREDICTION_SDCA_REGRESSION_104_176 = 17, - LOTTO_MATCH_COUNT_PREDICTION_FAST_TREE_REGRESSION = 18 + LOTTO_MATCH_COUNT_PREDICTION_FAST_TREE_REGRESSION = 18, + DRAW_RESULT_WIN_COUNT_PREDICTION_FAST_TREE_REGRESSION = 19 } } diff --git a/Includes/Classes/Generator/Types/DrawResultWinCountFastTreeTweedieRandomGenerator.cs b/Includes/Classes/Generator/Types/DrawResultWinCountFastTreeTweedieRandomGenerator.cs new file mode 100644 index 0000000..b76f6d8 --- /dev/null +++ b/Includes/Classes/Generator/Types/DrawResultWinCountFastTreeTweedieRandomGenerator.cs @@ -0,0 +1,70 @@ +using LottoDataManager.Includes.Classes.ML.FastTreeTweedie.DrawResultWinCount; +using LottoDataManager.Includes.Model.Details; +using LottoDataManager.Includes.Utilities; +using System; +using System.Collections.Generic; +using System.Linq; +using System.Text; +using System.Threading.Tasks; + +namespace LottoDataManager.Includes.Classes.Generator.Types +{ + public class DrawResultWinCountFastTreeTweedieRandomGenerator : AbstractSequenceGenerator, SequenceGenerator + { + public DrawResultWinCountFastTreeTweedieRandomGenerator(LotteryDataServices lotteryDataServices) : base(lotteryDataServices) + { + SeqGeneratorType = GeneratorType.DRAW_RESULT_WIN_COUNT_PREDICTION_FAST_TREE_REGRESSION; + this.Description = ResourcesUtils.GetMessage("pick_class_draw_result_win_count_match_desc"); + SequenceParams = new List(); + SequenceParams.Add(new SequenceGeneratorParams() + { + GeneratorParamType = GeneratorParamType.COUNT, + Description = ResourcesUtils.GetMessage("pick_class_draw_result_win_count_match_lp_count"), + MaxCountValue = 99 + }); + SequenceParams.Add(new SequenceGeneratorParams() + { + GeneratorParamType = GeneratorParamType.COUNT, + Description = @ResourcesUtils.GetMessage("pick_class_draw_result_win_count_match_perc"), + MaxCountValue = 100 + }); + } + + public bool AreParametersValueValid(out string errMessage) + { + return ValidateCountParamField(out errMessage, 0) + && ValidateCountParamField(out errMessage, 1); + } + + public List GenerateSequence() + { + int maximumPickCount = GetFieldParamValueForCount(0); + int matchPerc = GetFieldParamValueForCount(1); + int maxLoopBreaker = 10000; + int maxLoopCtr = 0; + List results = new List(); + DrawResultWinCountInputModel sampleData; + LotteryDrawResultSetup lotteryDrawResult = new LotteryDrawResultSetup(); + lotteryDrawResult.GameCode = lotteryDataServices.LotteryDetails.GameCode; + Random ran = new Random(); + + while (results.Count < maximumPickCount) + { + int[] randomSeq = LuckyPickGenerator(ran); + lotteryDrawResult.ResetSequenceToZero(); + lotteryDrawResult.FillNumberBySeq(randomSeq); + sampleData = lotteryDrawResult.GetDrawResultWinCountInputModel(true); + DrawResultWinCountOutputModel output = DrawResultWinCountPredictor.Predict(sampleData); + int score = (int)(output.Score * 100); + + if (score >= matchPerc) + { + Array.Sort(randomSeq); + results.Add(randomSeq); + } + if (maxLoopCtr++ > maxLoopBreaker) break; + } + return results; + } +} +} diff --git a/Includes/Classes/Generator/Types/RandomPredictionSDCARegression.cs b/Includes/Classes/Generator/Types/RandomPredictionSDCARegression.cs index abc6372..6ec1eb0 100644 --- a/Includes/Classes/Generator/Types/RandomPredictionSDCARegression.cs +++ b/Includes/Classes/Generator/Types/RandomPredictionSDCARegression.cs @@ -41,7 +41,7 @@ public List GenerateSequence() foreach (LotteryDrawResult lotDraw in lotteryDrawResults) { - SDCARegressionInputModel sampleData = lotDraw.GetSDCARegressionInputModel(); + SDCARegressionInputModel sampleData = lotDraw.GetSDCARegressionInputModel(true); var predictionResult = SDCARegressionPredictor.Predict(sampleData); //Console.WriteLine(String.Format("Data: {0}, {1},{2},{3},{4},{5},{6},{7},{8} ", sampleData.Draw_date, diff --git a/Includes/Classes/Generator/Types/RandomPredictionSDCARegressionInBetween.cs b/Includes/Classes/Generator/Types/RandomPredictionSDCARegressionInBetween.cs index 02a1b16..c8f77cf 100644 --- a/Includes/Classes/Generator/Types/RandomPredictionSDCARegressionInBetween.cs +++ b/Includes/Classes/Generator/Types/RandomPredictionSDCARegressionInBetween.cs @@ -41,7 +41,7 @@ public List GenerateSequence() foreach (LotteryDrawResult lotDraw in lotteryDrawResults) { - SDCARegressionInputModel sampleData = lotDraw.GetSDCARegressionInputModel(); + SDCARegressionInputModel sampleData = lotDraw.GetSDCARegressionInputModel(true); var predictionResult = SDCARegressionPredictor.Predict(sampleData); //Console.WriteLine(String.Format("Data: {0}, {1},{2},{3},{4},{5},{6},{7},{8} ", sampleData.Draw_date, diff --git a/Includes/Classes/LotteryAppConfiguration.cs b/Includes/Classes/LotteryAppConfiguration.cs index 35dca3e..ba25d46 100644 --- a/Includes/Classes/LotteryAppConfiguration.cs +++ b/Includes/Classes/LotteryAppConfiguration.cs @@ -5,6 +5,7 @@ using System.Threading.Tasks; using LottoDataManager.Includes.Classes.ML.FastTree; using LottoDataManager.Includes.Classes.ML.FastTreeRegression; +using LottoDataManager.Includes.Classes.ML.FastTreeTweedie.DrawResultWinCount; using LottoDataManager.Includes.Classes.ML.SDCARegression; using LottoDataManager.Includes.Database.DAO.Impl; using LottoDataManager.Includes.Database.DAO.Interface; @@ -68,7 +69,8 @@ public bool TestMLMainModelFolderSource(String folderPath) { if (FastTreePredictor.IsMLModelExisting(folderPath) && LottoMatchCountPredictor.IsMLModelExisting(folderPath) && - SDCARegressionPredictor.IsMLModelExisting(folderPath)) return true; + DrawResultWinCountPredictor.IsMLModelExisting(folderPath) && + SDCARegressionPredictor.IsMLModelExisting(folderPath)) return true; return false; } public String MLModelPath diff --git a/Includes/Classes/LotteryDataServices.cs b/Includes/Classes/LotteryDataServices.cs index 589ad85..bd1074a 100644 --- a/Includes/Classes/LotteryDataServices.cs +++ b/Includes/Classes/LotteryDataServices.cs @@ -285,6 +285,13 @@ public List GetLottoCountMatchMLDataset(GameMode gameMode, DateTime { return this.lotteryBetDao.GetLottoCountMatchMLDataset(gameMode, startingDate); } + public List GetDrawResultWinCountMLDataset(GameMode gameMode, DateTime startingDate) + { + return this.lotteryDrawResultDao.GetDrawResultWinCountMLDataset(gameMode, startingDate); + } + + + ///

/// Get all latest draw dates available in each lottery games. /// diff --git a/Includes/Classes/ML/FastTreeTweedie/DrawResultWinCount/DrawResultWinCountDataIntake.cs b/Includes/Classes/ML/FastTreeTweedie/DrawResultWinCount/DrawResultWinCountDataIntake.cs new file mode 100644 index 0000000..a5f208f --- /dev/null +++ b/Includes/Classes/ML/FastTreeTweedie/DrawResultWinCount/DrawResultWinCountDataIntake.cs @@ -0,0 +1,54 @@ +using LottoDataManager.Includes.Classes.ML.TrainerProcessor; +using LottoDataManager.Includes.Model.Details; +using System; +using System.Collections.Generic; +using System.Linq; +using System.Text; +using System.Threading.Tasks; + +namespace LottoDataManager.Includes.Classes.ML.FastTreeTweedie.DrawResultWinCount +{ + public class DrawResultWinCountDataIntake : TrainerProcessorAbstract + { + private static String DATA_TABLE_HEADERS = "game_cd,draw_date,num1,num2,num3,num4,num5,num6,draw_result\r\n"; + private DrawResultWinCountTrainer drawResultWinCountTrainer; + + public DrawResultWinCountDataIntake(LotteryDataServices lotteryDataServices) : base(DATA_TABLE_HEADERS) + { + this.LotteryDataServices = lotteryDataServices; + this.drawResultWinCountTrainer = new DrawResultWinCountTrainer(); + this.drawResultWinCountTrainer.ProcessingStatus += CommonTrainerInstanceEvent_ProcessingStatus; + } + + public override void StartUpdate() + { + CommonTrainerModelDrawResults(); + } + protected override DateTime GetDrawDateEquivalent(Object lotteryObject) + { + LotteryDrawResult result = (LotteryDrawResult)lotteryObject; + return result.GetDrawDate(); + } + protected override List GetTrainerDataSets(TrainerDataIntakeModel trainerDataIntakeModel) + { + return LotteryDataServices.GetDrawResultWinCountMLDataset( + trainerDataIntakeModel.GameMode, trainerDataIntakeModel.StartingDateTime).ToList(); + } + protected override String GetDataSetEntry(Object lotteryModel) + { + LotteryDrawResult model = (LotteryDrawResult)lotteryModel; + return model.GetDrawResultWinCountModelDataIntake(); + } + protected override void CreateTrainerModel(String fileName) + { + try + { + CommonCreateTrainerModel(drawResultWinCountTrainer, fileName); + } + catch (Exception e) + { + log(e.StackTrace); + } + } + } +} diff --git a/Includes/Classes/ML/FastTreeTweedie/DrawResultWinCount/DrawResultWinCountInputModel.cs b/Includes/Classes/ML/FastTreeTweedie/DrawResultWinCount/DrawResultWinCountInputModel.cs new file mode 100644 index 0000000..4f7e881 --- /dev/null +++ b/Includes/Classes/ML/FastTreeTweedie/DrawResultWinCount/DrawResultWinCountInputModel.cs @@ -0,0 +1,39 @@ +using Microsoft.ML.Data; +using System; +using System.Collections.Generic; +using System.Linq; +using System.Text; +using System.Threading.Tasks; + +namespace LottoDataManager.Includes.Classes.ML.FastTreeTweedie.DrawResultWinCount +{ + public class DrawResultWinCountInputModel + { + [ColumnName(@"game_cd"), LoadColumn(0)] + public float Game_cd { get; set; } + + [ColumnName(@"draw_date"), LoadColumn(1)] + public string Draw_date { get; set; } + + [ColumnName(@"num1"), LoadColumn(2)] + public float Num1 { get; set; } + + [ColumnName(@"num2"), LoadColumn(3)] + public float Num2 { get; set; } + + [ColumnName(@"num3"), LoadColumn(4)] + public float Num3 { get; set; } + + [ColumnName(@"num4"), LoadColumn(5)] + public float Num4 { get; set; } + + [ColumnName(@"num5"), LoadColumn(6)] + public float Num5 { get; set; } + + [ColumnName(@"num6"), LoadColumn(7)] + public float Num6 { get; set; } + + [ColumnName(@"draw_result"), LoadColumn(8)] + public float Draw_result { get; set; } + } +} diff --git a/Includes/Classes/ML/FastTreeTweedie/DrawResultWinCount/DrawResultWinCountOutputModel.cs b/Includes/Classes/ML/FastTreeTweedie/DrawResultWinCount/DrawResultWinCountOutputModel.cs new file mode 100644 index 0000000..d88fa5c --- /dev/null +++ b/Includes/Classes/ML/FastTreeTweedie/DrawResultWinCount/DrawResultWinCountOutputModel.cs @@ -0,0 +1,13 @@ +using System; +using System.Collections.Generic; +using System.Linq; +using System.Text; +using System.Threading.Tasks; + +namespace LottoDataManager.Includes.Classes.ML.FastTreeTweedie.DrawResultWinCount +{ + public class DrawResultWinCountOutputModel + { + public float Score { get; set; } + } +} diff --git a/Includes/Classes/ML/FastTreeTweedie/DrawResultWinCount/DrawResultWinCountPredictor.cs b/Includes/Classes/ML/FastTreeTweedie/DrawResultWinCount/DrawResultWinCountPredictor.cs new file mode 100644 index 0000000..ccc9a15 --- /dev/null +++ b/Includes/Classes/ML/FastTreeTweedie/DrawResultWinCount/DrawResultWinCountPredictor.cs @@ -0,0 +1,50 @@ +using Microsoft.ML; +using System; +using System.Collections.Generic; +using System.Linq; +using System.Text; +using System.Threading.Tasks; + +namespace LottoDataManager.Includes.Classes.ML.FastTreeTweedie.DrawResultWinCount +{ + public class DrawResultWinCountPredictor : MLModelAbstract + { + private static readonly String MODEL_NAME = "MLModel_5H_DrawResultWinCount.zip"; + public static readonly Lazy> + PredictEngine = new Lazy>(() => + CreatePredictEngine(), true); + + public static String MLNetModelPath + { + get + { + return GetCompleteModelPath(MODEL_NAME); + } + } + + public static bool IsMLModelExisting(String folderPath = null) + { + return IsModelExists(MODEL_NAME, folderPath); + } + + + /// + /// Use this method to predict on . + /// + /// model input. + /// + public static DrawResultWinCountOutputModel Predict(DrawResultWinCountInputModel input) + { + var predEngine = PredictEngine.Value; + return predEngine.Predict(input); + } + + private static PredictionEngine CreatePredictEngine() + { + var mlContext = new MLContext(); + ITransformer mlModel = mlContext.Model.Load(MLNetModelPath, out var _); + return mlContext.Model.CreatePredictionEngine(mlModel); + } + + } +} diff --git a/Includes/Classes/ML/FastTreeTweedie/DrawResultWinCount/DrawResultWinCountTrainer.cs b/Includes/Classes/ML/FastTreeTweedie/DrawResultWinCount/DrawResultWinCountTrainer.cs new file mode 100644 index 0000000..a0229b6 --- /dev/null +++ b/Includes/Classes/ML/FastTreeTweedie/DrawResultWinCount/DrawResultWinCountTrainer.cs @@ -0,0 +1,65 @@ +using LottoDataManager.Includes.Utilities; +using Microsoft.ML; +using Microsoft.ML.Trainers.FastTree; +using System; +using System.Collections.Generic; +using System.Linq; +using System.Text; +using System.Threading.Tasks; + +namespace LottoDataManager.Includes.Classes.ML.FastTreeTweedie.DrawResultWinCount +{ + public class DrawResultWinCountTrainer : MLModelBuilderAbstract + { + private static string MODEL_FILE = DrawResultWinCountPredictor.MLNetModelPath; + private static string OUTPUT_COLUMN_NAME = "draw_result"; + + // Create MLContext to be shared across the model creation workflow objects + // Set a random seed for repeatable/deterministic results across multiple trainings. + private static MLContext mlContext = new MLContext(seed: 1); + + public override void CreateModel(String mlDataSetsPath) + { + // Load Data + InvokeProcessingStatus(ResourcesUtils.GetMessage("mac_lrn_bldr_log_1")); + IDataView trainingDataView = mlContext.Data.LoadFromTextFile( + path: @mlDataSetsPath, + hasHeader: true, + separatorChar: ',', + allowQuoting: true, + allowSparse: false); + // Build training pipeline + InvokeProcessingStatus(ResourcesUtils.GetMessage("mac_lrn_bldr_log_2")); + IEstimator trainingPipeline = BuildTrainingPipeline(mlContext); + + // Train Model + InvokeProcessingStatus(ResourcesUtils.GetMessage("mac_lrn_bldr_log_3")); + ITransformer mlModel = RetrainModel(mlContext, trainingDataView, trainingPipeline); + + // Evaluate quality of Model + InvokeProcessingStatus(ResourcesUtils.GetMessage("mac_lrn_bldr_log_4")); + Evaluate(mlContext, trainingDataView, trainingPipeline, OUTPUT_COLUMN_NAME); + + // Save model + InvokeProcessingStatus("\r\n\r\n\r\n" + ResourcesUtils.GetMessage("mac_lrn_bldr_log_5")); + SaveModel(mlContext, mlModel, MODEL_FILE, trainingDataView.Schema); + } + + /// + /// build the pipeline that is used from model builder. Use this function to retrain model. + /// + /// + /// + public static IEstimator BuildTrainingPipeline(MLContext mlContext) + { + // Data process configuration with pipeline data transformations + var pipeline = mlContext.Transforms.ReplaceMissingValues(new[] { new InputOutputColumnPair(@"game_cd", @"game_cd"), new InputOutputColumnPair(@"num1", @"num1"), new InputOutputColumnPair(@"num2", @"num2"), new InputOutputColumnPair(@"num3", @"num3"), new InputOutputColumnPair(@"num4", @"num4"), new InputOutputColumnPair(@"num5", @"num5"), new InputOutputColumnPair(@"num6", @"num6") }) + .Append(mlContext.Transforms.Text.FeaturizeText(@"draw_date", @"draw_date")) + .Append(mlContext.Transforms.Concatenate(@"Features", new[] { @"game_cd", @"num1", @"num2", @"num3", @"num4", @"num5", @"num6", @"draw_date" })) + .Append(mlContext.Transforms.NormalizeMinMax(@"Features", @"Features")) + .Append(mlContext.Regression.Trainers.FastTreeTweedie(new FastTreeTweedieTrainer.Options() { NumberOfLeaves = 4, MinimumExampleCountPerLeaf = 128, NumberOfTrees = 3605, MaximumBinCountPerFeature = 47, LearningRate = 0.00365027684249047F, FeatureFraction = 0.845581925532354F, LabelColumnName = @"draw_result", FeatureColumnName = @"Features" })); + + return pipeline; + } + } +} diff --git a/Includes/Classes/Updates/ApplicationUpdateProcessor.cs b/Includes/Classes/Updates/ApplicationUpdateProcessor.cs index 07d5d4b..fa75409 100644 --- a/Includes/Classes/Updates/ApplicationUpdateProcessor.cs +++ b/Includes/Classes/Updates/ApplicationUpdateProcessor.cs @@ -42,6 +42,7 @@ public void StartUpdate(LotteryDataServices lotteryDataServices) //updates should be in sequence. If not, might be mess up RaiseEvent(ResourcesUtils.GetMessage("app_ver_notify_0")); UpdateFor1006(); + UpdateFor1008(); RaiseEvent(ResourcesUtils.GetMessage("app_ver_notify_2")); IsUpdateFinish = true; }); @@ -62,7 +63,7 @@ private void UpdateFor1006() AppVersioning appVersionInDB = AppVersioningDaoObj.GetVersion(appVersion); if (appVersionInDB == null) { - RaiseEvent(ResourcesUtils.GetMessage("app_ver_notify_1")); + RaiseNewEntryEvent(appVersion); LotterySequenceGeneratorSetup genModel = new LotterySequenceGeneratorSetup(); genModel.SeqGenCode = (int) GeneratorType.LOTTO_MATCH_COUNT_PREDICTION_FAST_TREE_REGRESSION; genModel.Description = ResourcesUtils.GetMessage("app_ver_1006_pick_gen_desc"); @@ -71,9 +72,46 @@ private void UpdateFor1006() } else { - RaiseEvent(ResourcesUtils.GetMessage("app_ver_notify_3")); + RaiseSkippedVersionEvent(appVersion); } } + + private void UpdateFor1008() + { + //version 1.0.0.8 update + AppVersioningSetup appVersion = new AppVersioningSetup() + { + Major = 1, + Minor = 0, + Patch = 0, + ReleaseVersion = "8", + DateTimeApplied = DateTime.Now, + Remarks = ResourcesUtils.GetMessage("app_ver_1008_remarks") + }; + AppVersioning appVersionInDB = AppVersioningDaoObj.GetVersion(appVersion); + if (appVersionInDB == null) + { + RaiseNewEntryEvent(appVersion); + LotterySequenceGeneratorSetup genModel = new LotterySequenceGeneratorSetup(); + genModel.SeqGenCode = (int)GeneratorType.DRAW_RESULT_WIN_COUNT_PREDICTION_FAST_TREE_REGRESSION; + genModel.Description = ResourcesUtils.GetMessage("app_ver_1008_pick_gen_desc"); + lotteryDataServicesObj.InsertLotterySequenceGenerator(genModel); + AppVersioningDaoObj.InsertAppVersioning(appVersion); + } + else + { + RaiseSkippedVersionEvent(appVersion); + } + } + + private void RaiseNewEntryEvent(AppVersioningSetup appVersion) + { + RaiseEvent(ResourcesUtils.GetMessage("app_ver_notify_1", appVersion.GetAppVersionLbl())); + } + private void RaiseSkippedVersionEvent(AppVersioningSetup appVersion) + { + RaiseEvent(ResourcesUtils.GetMessage("app_ver_notify_3", appVersion.GetAppVersionLbl())); + } private void RaiseEvent(String processingMessage) { PatchingProcessingLogs.Invoke(this, processingMessage); diff --git a/Includes/Database/DAO/Impl/LotteryDrawResultDaoImpl.cs b/Includes/Database/DAO/Impl/LotteryDrawResultDaoImpl.cs index 4584392..36260c7 100644 --- a/Includes/Database/DAO/Impl/LotteryDrawResultDaoImpl.cs +++ b/Includes/Database/DAO/Impl/LotteryDrawResultDaoImpl.cs @@ -558,5 +558,33 @@ public List GetSDCAMLDataSet(GameMode gameMode, DateTime star } return results; } + public List GetDrawResultWinCountMLDataset(GameMode gameMode, DateTime startingDate) + { + List results = new List(); + using (OleDbConnection conn = DatabaseConnectionFactory.GetDataSource()) + using (OleDbCommand command = new OleDbCommand()) + { + command.CommandType = CommandType.Text; + command.CommandText = " SELECT TOP 500 ID, jackpot_amt, `game_cd`, `draw_date`, " + + " `num1` ,`num2`, num3, num4, num5, num6, " + + " IIF(winners > 0, 1, 0) AS `winners` " + + " FROM `draw_results` " + + " WHERE game_cd = @game_cd " + + " AND `draw_date` > CDATE(@startingDate) " + + " ORDER BY `game_cd` ASC, `draw_date` ASC"; + command.Parameters.AddWithValue("@game_cd", gameMode); + command.Parameters.AddWithValue("@startingDate", startingDate.Date.ToString()); + command.Connection = conn; + conn.Open(); + using (OleDbDataReader reader = command.ExecuteReader()) + { + while (reader.Read()) + { + results.Add(GetLotteryDrawResultSetup(reader, gameMode)); + } + } + } + return results; + } } } diff --git a/Includes/Database/DAO/Interface/LotteryDrawResultDao.cs b/Includes/Database/DAO/Interface/LotteryDrawResultDao.cs index 2ac269f..87e642d 100644 --- a/Includes/Database/DAO/Interface/LotteryDrawResultDao.cs +++ b/Includes/Database/DAO/Interface/LotteryDrawResultDao.cs @@ -28,5 +28,6 @@ public interface LotteryDrawResultDao List GetFastTreeMLDataSet(GameMode gameMode, DateTime startingDate); List GetSDCAMLDataSet(GameMode gameMode, DateTime startingDate); LotteryDrawResult GetLatestDrawResult(int gameCd); + List GetDrawResultWinCountMLDataset(GameMode gameMode, DateTime startingDate); } } diff --git a/Includes/Model/Details/AppVersioning.cs b/Includes/Model/Details/AppVersioning.cs index 85e6121..1959408 100644 --- a/Includes/Model/Details/AppVersioning.cs +++ b/Includes/Model/Details/AppVersioning.cs @@ -16,5 +16,6 @@ public interface AppVersioning string GetReleaseCycle(); string GetRemarks(); DateTime GetDateTimeApplied(); + string GetAppVersionLbl(); } } diff --git a/Includes/Model/Details/LotteryDrawResult.cs b/Includes/Model/Details/LotteryDrawResult.cs index d969cc0..33a450c 100644 --- a/Includes/Model/Details/LotteryDrawResult.cs +++ b/Includes/Model/Details/LotteryDrawResult.cs @@ -1,5 +1,6 @@ using System; using LottoDataManager.Includes.Classes.ML.FastTree; +using LottoDataManager.Includes.Classes.ML.FastTreeTweedie.DrawResultWinCount; using LottoDataManager.Includes.Classes.ML.SDCARegression; namespace LottoDataManager.Includes.Model.Details @@ -18,11 +19,14 @@ public interface LotteryDrawResult: LotteryNumbersAndOperations void PutNumberSequence(String sequence); bool IsDrawResulSequenceEmpty(); bool HasWinners(); - FastTreeInputModel GetFastTreeInputModel(); - SDCARegressionInputModel GetSDCARegressionInputModel(); + FastTreeInputModel GetFastTreeInputModel(bool dateTimeToday = false); + SDCARegressionInputModel GetSDCARegressionInputModel(bool dateTimeToday = false); + DrawResultWinCountInputModel GetDrawResultWinCountInputModel(bool dateTimeToday = false); String GetFastTreeTrainerModelDataIntake(); String GetSCDARegressionModelDataIntake(); + String GetDrawResultWinCountModelDataIntake(); String GetGNUFormat(); String GetExtractedDrawnResultDetails(); + } } diff --git a/Includes/Model/Details/Setup/AppVersioningSetup.cs b/Includes/Model/Details/Setup/AppVersioningSetup.cs index a75fed3..9f893ad 100644 --- a/Includes/Model/Details/Setup/AppVersioningSetup.cs +++ b/Includes/Model/Details/Setup/AppVersioningSetup.cs @@ -57,5 +57,10 @@ public string GetRemarks() { return Remarks; } + + public String GetAppVersionLbl() + { + return String.Format("v{0}.{1}.{2}.{3}", Major, Minor, Patch, ReleaseVersion); + } } } diff --git a/Includes/Model/Details/Setup/LotteryCommonSetup.cs b/Includes/Model/Details/Setup/LotteryCommonSetup.cs index 4e201cb..778bf4b 100644 --- a/Includes/Model/Details/Setup/LotteryCommonSetup.cs +++ b/Includes/Model/Details/Setup/LotteryCommonSetup.cs @@ -160,5 +160,9 @@ public String GetGNUFormat() Num5.ToString().PadLeft(2, char.Parse("0")), Num6.ToString().PadLeft(2, char.Parse("0"))); } + public String ConvertToDateTimeMLFormat(DateTime targetDate) + { + return DateTimeConverterUtils.ConvertToFormat(targetDate, DateTimeConverterUtils.STANDARD_DATE_FORMAT) + " 00:00:00.0"; + } } } diff --git a/Includes/Model/Details/Setup/LotteryDrawResultSetup.cs b/Includes/Model/Details/Setup/LotteryDrawResultSetup.cs index 3f90ee1..0127302 100644 --- a/Includes/Model/Details/Setup/LotteryDrawResultSetup.cs +++ b/Includes/Model/Details/Setup/LotteryDrawResultSetup.cs @@ -5,6 +5,7 @@ using System.Text; using System.Threading.Tasks; using LottoDataManager.Includes.Classes.ML.FastTree; +using LottoDataManager.Includes.Classes.ML.FastTreeTweedie.DrawResultWinCount; using LottoDataManager.Includes.Classes.ML.LightGbmRegression; using LottoDataManager.Includes.Classes.ML.SDCARegression; using LottoDataManager.Includes.Model.Details.Setup; @@ -72,9 +73,9 @@ public bool IsDrawResulSequenceEmpty() { return (this.Num1 <= 0 && this.Num2 <= 0 && this.Num3 <= 0 && this.Num4 <= 0 && this.Num5 <= 0 && this.Num6 <= 0); } - public FastTreeInputModel GetFastTreeInputModel() + public FastTreeInputModel GetFastTreeInputModel(bool dateTimeToday = false) { - return new FastTreeInputModel() + FastTreeInputModel model = new FastTreeInputModel() { Draw_date = GetDrawDateFormatted() + " 00:00:00.0", Num1 = GetNum1(), @@ -85,10 +86,12 @@ public FastTreeInputModel GetFastTreeInputModel() Num6 = GetNum6(), Game_cd = GetGameCode() }; + if (dateTimeToday) model.Draw_date = ConvertToDateTimeMLFormat(DateTime.Now); + return model; } - public SDCARegressionInputModel GetSDCARegressionInputModel() + public SDCARegressionInputModel GetSDCARegressionInputModel(bool dateTimeToday = false) { - return new SDCARegressionInputModel() + SDCARegressionInputModel model = new SDCARegressionInputModel() { Draw_date = GetDrawDateFormatted() + " 00:00:00.0", Num1 = GetNum1(), @@ -99,7 +102,26 @@ public SDCARegressionInputModel GetSDCARegressionInputModel() Num6 = GetNum6(), Game_cd = GetGameCode() }; + if (dateTimeToday) model.Draw_date = ConvertToDateTimeMLFormat(DateTime.Now); + return model; + } + public DrawResultWinCountInputModel GetDrawResultWinCountInputModel(bool dateTimeToday = false) + { + DrawResultWinCountInputModel model = new DrawResultWinCountInputModel() + { + Draw_date = GetDrawDateFormatted() + " 00:00:00.0", + Num1 = GetNum1(), + Num2 = GetNum2(), + Num3 = GetNum3(), + Num4 = GetNum4(), + Num5 = GetNum5(), + Num6 = GetNum6(), + Game_cd = GetGameCode() + }; + if (dateTimeToday) model.Draw_date = ConvertToDateTimeMLFormat(DateTime.Now); + return model; } + public String GetExtractedDrawnResultDetails() { return String.Format("{0}, {1}", @@ -140,6 +162,16 @@ public String GetSCDARegressionModelDataIntake() (Num1 + Num2 + Num3 + Num4 + Num5 + Num6), Winners, GameCode); } + public String GetDrawResultWinCountModelDataIntake() + { + //game_cd,draw_date,num1,num2,num3,num4,num5,num6,draw_result + return String.Format("{0},{1},{2},{3},{4},{5},{6},{7},{8}", + GameCode, + DateTimeConverterUtils.ConvertToFormat(DrawDate, DateTimeConverterUtils.STANDARD_DATE_FORMAT_DFLT_TIME_ZERO), + Num1, Num2, Num3, Num4, Num5, Num6, + (Winners>0) ? 1: 0); + } + public bool HasWinners() { return this.GetWinnersCount() > 0; diff --git a/LottoDataManager.csproj b/LottoDataManager.csproj index 86597f8..19d9b69 100644 --- a/LottoDataManager.csproj +++ b/LottoDataManager.csproj @@ -186,6 +186,7 @@ + @@ -217,6 +218,11 @@ + + + + + diff --git a/Properties/AssemblyInfo.cs b/Properties/AssemblyInfo.cs index 4c1e7cc..5045838 100644 --- a/Properties/AssemblyInfo.cs +++ b/Properties/AssemblyInfo.cs @@ -32,5 +32,5 @@ // You can specify all the values or you can default the Build and Revision Numbers // by using the '*' as shown below: // [assembly: AssemblyVersion("1.0.*")] -[assembly: AssemblyVersion("1.0.0.7")] -[assembly: AssemblyFileVersion("1.0.0.7")] +[assembly: AssemblyVersion("1.0.0.8")] +[assembly: AssemblyFileVersion("1.0.0.8")] diff --git a/Properties/Settings.Designer.cs b/Properties/Settings.Designer.cs index 9ea1004..75ed4c5 100644 --- a/Properties/Settings.Designer.cs +++ b/Properties/Settings.Designer.cs @@ -109,7 +109,7 @@ public string version_patch { [global::System.Configuration.UserScopedSettingAttribute()] [global::System.Diagnostics.DebuggerNonUserCodeAttribute()] - [global::System.Configuration.DefaultSettingValueAttribute("7")] + [global::System.Configuration.DefaultSettingValueAttribute("8")] public string version_release { get { return ((string)(this["version_release"])); diff --git a/Properties/Settings.settings b/Properties/Settings.settings index 97de0d6..b06590c 100644 --- a/Properties/Settings.settings +++ b/Properties/Settings.settings @@ -24,7 +24,7 @@ 0 - 7 + 8 LottoDataManager diff --git a/Resources/messages_en.properties b/Resources/messages_en.properties index ca93489..1f83fe7 100644 --- a/Resources/messages_en.properties +++ b/Resources/messages_en.properties @@ -213,11 +213,13 @@ pick_class_top_draw_date_range_desc=Top drawn numbers from specified date range pick_class_top_draw_date_range_date_from=Date From: pick_class_top_draw_date_range_date_to=Date To: - pick_class_lotto_count_match_desc=Machine Learning - Lotto Count Match Prediction (Fast Tree Regression) pick_class_lotto_count_match_lp_count=How many lucky pick? -pick_class_lotto_count_match_perc=Match % greater than? +pick_class_lotto_count_match_perc=Pick % likelihood to be drawn? +pick_class_draw_result_win_count_match_desc=Machine Learning - Draw result Win Count Match Prediction (FastTree Tweedie Regression) +pick_class_draw_result_win_count_match_lp_count=How many lucky pick? +pick_class_draw_result_win_count_match_perc=Pick % likelihood to be drawn? pick_class_top_pattern_desc=Random sequence pattern (diagonal/vertical). pick_class_top_pattern_box_desc=Sequence pattern: @@ -270,7 +272,7 @@ mac_lrn_log_7=Feeding data sets to Machine Learning Trainer... mac_lrn_log_8=Deleting data sets >>> mac_lrn_log_9=Completed successfully.... mac_lrn_log_10=An error occured while processing the data sets. -mac_lrn_log_11=Preparing Fastree Model Trainer +mac_lrn_log_11=Preparing Model Trainer mac_lrn_log_12=Preparing SDCA Regression Model Trainer mac_lrn_log_13=This form will let you update the machine learning Model base on the newly grab drawn results from PCSO site. "PLEASE DO" a "Machine Learning Dataset Update", in which after you downloaded the drawn result from PCSO Site and is properly reflected on the database. If ever you update the Machine learning Model even without an update, nothing will happen. mac_lrn_log_14=The processing has been stopped! @@ -692,7 +694,10 @@ app_settings_msg_2= app_ver_1006_remarks=Newly Added Pick Generator called Machine Learning - Lotto Count Match Prediction (Fast Tree Regression) app_ver_1006_pick_gen_desc=Machine Learning - Lotto Count Match Prediction (Fast Tree Regression) +app_ver_1008_remarks=Newly Added Pick Generator called Machine Learning - Draw Result Win Count Match Prediction (FastTree Tweedie Regression) +app_ver_1008_pick_gen_desc=Machine Learning - Draw Result Win Count Match Prediction (FastTree Tweedie Regression) + app_ver_notify_0=Checking for application updates. -app_ver_notify_1=[v1.0.0.6] Creating entry for new Machine Learning Pick generator reference on DB. +app_ver_notify_1=[{0}] Creating entry for new Machine Learning Pick generator reference on DB. app_ver_notify_2=Done checking for application updates. -app_ver_notify_3=Application update [v1.0.0.6] already applied. This will be skip. \ No newline at end of file +app_ver_notify_3=Application update [{0}] already applied. This will be skip. From ed7caf5659fe798162980196b2e1cc653fac8ebb Mon Sep 17 00:00:00 2001 From: angelsburger90 <71116188+angelsburger90@users.noreply.github.com> Date: Thu, 7 Oct 2021 18:42:20 +0800 Subject: [PATCH 3/3] Update read me --- README.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 3589e44..ef43873 100644 --- a/README.md +++ b/README.md @@ -12,7 +12,7 @@ An application that let it be as your "Lotto Data Management Hub" with the follo 1. Add your bet, including which outlet you buy your ticket, and the kind of number generator you use to your bet. 2. With a single click, it will download the latest drawn result and jackpot amount. 3. With a quick glance dashboard, it will let you know the nearest previous and next draw dates, your spending amount and more. -4. Random Sequence Generator using Machine Learning (*~~this is totally a random number base on my silly interpretation of the Machine Learning results~~*) +4. Random Sequence Generator using Machine Learning (*~~this is totally a random number base on my interpretation of the Machine Learning results~~*) 5. Quick comparison between your selected bet and how its fare to the drawn result. 6. Profit and Loss Report generation. @@ -50,6 +50,7 @@ By using the following Technologies # Installation From the right you, you may download the package installer. There would be a documentation attach on the package, please read it how to set it up. + ![Location of the desktop app installer.](https://i.imgur.com/pm95OwT.png) # License