public List <int[]> GenerateSequence()
{
int maximumPickCount = GetFieldParamValueForCount(0);
List <LotteryDrawResult> lotteryDrawResults = this.lotteryDataServices.GetLatestLotteryResult(maximumPickCount);
String drawDate = DateTimeConverterUtils.ConvertToFormat(this.lotteryDataServices.GetNextDrawDate(),
DateTimeConverterUtils.STANDARD_DATE_FORMAT) + " 00:00:00.0";
List <int[]> results = new List <int[]>();
foreach (LotteryDrawResult lotDraw in lotteryDrawResults)
{
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,
// sampleData.Num1, sampleData.Num2, sampleData.Num3, sampleData.Num4, sampleData.Num5, sampleData.Num6,
// sampleData.Game_cd.ToString(), predictionResult.Score.ToString()));
int totalSum = int.Parse(Math.Ceiling(decimal.Parse(predictionResult.Score.ToString())).ToString());
int[] x = ConvertAndFillSequenceThatMakesUpToTotalSum(totalSum);
if (IsUniqueSequence(results, x))
{
results.Add(x);
}
}
return(results);
}
public bool TestMLMainModelFolderSource(String folderPath)
{
if (FastTreePredictor.IsMLModelExisting(folderPath) &&
LottoMatchCountPredictor.IsMLModelExisting(folderPath) &&
DrawResultWinCountPredictor.IsMLModelExisting(folderPath) &&
SDCARegressionPredictor.IsMLModelExisting(folderPath))
{
return(true);
}
return(false);
}
