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Merge pull request #22 from AngelsSoftwareOrg/develop
v1.0.0.8 - Cycle Release - LottoDataManagerSetup_v1.0.0.8 - Add dashboard report game next draw day - Pluralized the label on the jackpot group items on Dashboard - Copying data to clipboard, increase the gap between waiting time to 200ms - Add new Machine Learning - Draw Result Win Count Predictor - Update ReadMe
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70 changes: 70 additions & 0 deletions
70
Includes/Classes/Generator/Types/DrawResultWinCountFastTreeTweedieRandomGenerator.cs
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -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<SequenceGeneratorParams>(); | ||
| 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<int[]> GenerateSequence() | ||
| { | ||
| int maximumPickCount = GetFieldParamValueForCount(0); | ||
| int matchPerc = GetFieldParamValueForCount(1); | ||
| int maxLoopBreaker = 10000; | ||
| int maxLoopCtr = 0; | ||
| List<int[]> results = new List<int[]>(); | ||
| 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; | ||
| } | ||
| } | ||
| } |
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54 changes: 54 additions & 0 deletions
54
Includes/Classes/ML/FastTreeTweedie/DrawResultWinCount/DrawResultWinCountDataIntake.cs
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -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; | ||
|
|
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| 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<Object> GetTrainerDataSets(TrainerDataIntakeModel trainerDataIntakeModel) | ||
| { | ||
| return LotteryDataServices.GetDrawResultWinCountMLDataset( | ||
| trainerDataIntakeModel.GameMode, trainerDataIntakeModel.StartingDateTime).ToList<object>(); | ||
| } | ||
| 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); | ||
| } | ||
| } | ||
| } | ||
| } |
39 changes: 39 additions & 0 deletions
39
Includes/Classes/ML/FastTreeTweedie/DrawResultWinCount/DrawResultWinCountInputModel.cs
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -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; } | ||
|
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| [ColumnName(@"draw_date"), LoadColumn(1)] | ||
| public string Draw_date { get; set; } | ||
|
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| [ColumnName(@"num1"), LoadColumn(2)] | ||
| public float Num1 { get; set; } | ||
|
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| [ColumnName(@"num2"), LoadColumn(3)] | ||
| public float Num2 { get; set; } | ||
|
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| [ColumnName(@"num3"), LoadColumn(4)] | ||
| public float Num3 { get; set; } | ||
|
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| [ColumnName(@"num4"), LoadColumn(5)] | ||
| public float Num4 { get; set; } | ||
|
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| [ColumnName(@"num5"), LoadColumn(6)] | ||
| public float Num5 { get; set; } | ||
|
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| [ColumnName(@"num6"), LoadColumn(7)] | ||
| public float Num6 { get; set; } | ||
|
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| [ColumnName(@"draw_result"), LoadColumn(8)] | ||
| public float Draw_result { get; set; } | ||
| } | ||
| } |
13 changes: 13 additions & 0 deletions
13
Includes/Classes/ML/FastTreeTweedie/DrawResultWinCount/DrawResultWinCountOutputModel.cs
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -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; } | ||
| } | ||
| } |
50 changes: 50 additions & 0 deletions
50
Includes/Classes/ML/FastTreeTweedie/DrawResultWinCount/DrawResultWinCountPredictor.cs
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -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<PredictionEngine<DrawResultWinCountInputModel, DrawResultWinCountOutputModel>> | ||
| PredictEngine = new Lazy<PredictionEngine<DrawResultWinCountInputModel, DrawResultWinCountOutputModel>>(() => | ||
| CreatePredictEngine(), true); | ||
|
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| public static String MLNetModelPath | ||
| { | ||
| get | ||
| { | ||
| return GetCompleteModelPath(MODEL_NAME); | ||
| } | ||
| } | ||
|
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| public static bool IsMLModelExisting(String folderPath = null) | ||
| { | ||
| return IsModelExists(MODEL_NAME, folderPath); | ||
| } | ||
|
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|
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| /// <summary> | ||
| /// Use this method to predict on <see cref="DrawResultWinCountOutputModel"/>. | ||
| /// </summary> | ||
| /// <param name="input">model input.</param> | ||
| /// <returns><seealso cref=" DrawResultWinCountInputModel"/></returns> | ||
| public static DrawResultWinCountOutputModel Predict(DrawResultWinCountInputModel input) | ||
| { | ||
| var predEngine = PredictEngine.Value; | ||
| return predEngine.Predict(input); | ||
| } | ||
|
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| private static PredictionEngine<DrawResultWinCountInputModel, DrawResultWinCountOutputModel> CreatePredictEngine() | ||
| { | ||
| var mlContext = new MLContext(); | ||
| ITransformer mlModel = mlContext.Model.Load(MLNetModelPath, out var _); | ||
| return mlContext.Model.CreatePredictionEngine<DrawResultWinCountInputModel, DrawResultWinCountOutputModel>(mlModel); | ||
| } | ||
|
|
||
| } | ||
| } |
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