public List <int[]> GenerateSequence()
{
StartPickGeneration();
int maximumPickCount = GetFieldParamValueForCount(0);
int matchPerc = GetFieldParamValueForCount(1);
int maxLoopBreaker = int.MaxValue - 100;
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);
PickGenerationProgressEvent.IncrementGenerationAttemptCount();
if (score >= matchPerc)
{
Array.Sort(randomSeq);
results.Add(randomSeq);
PickGenerationProgressEvent.IncrementGeneratedPickCount();
}
if (!IsContinuePickGenerationProgress())
{
break;
}
if (maxLoopCtr++ > maxLoopBreaker)
{
break;
}
}
RaisePickGenerationProgress();
StopPickGeneration();
return(results);
}
public List <int[]> GenerateSequence()
{
StartPickGeneration();
String drawDate = DateTimeConverterUtils.ConvertToFormat(this.lotteryDataServices.GetNextDrawDate(),
DateTimeConverterUtils.STANDARD_DATE_FORMAT) + " 00:00:00.0";
List <int[]> results = new List <int[]>();
int selectedCoefficient = GetFieldParamValueForCount(1);
int maximumPickCount = GetFieldParamValueForCount(0);
Random rnd = new Random();
int loopBreaker = 0;
int maxLoopBreaker = int.MaxValue - 100;
while (true)
{
int[] lp = LuckyPickGenerator(rnd);
// Create single instance of sample data from first line of dataset for model input
FastTreeInputModel sampleData = new FastTreeInputModel()
{
Draw_date = drawDate,
Num1 = lp[0],
Num2 = lp[1],
Num3 = lp[2],
Num4 = lp[3],
Num5 = lp[4],
Num6 = lp[5],
Game_cd = this.lotteryDataServices.LotteryDetails.GameCode
};
// Make a single prediction on the sample data and print results
var predictionResult = FastTreePredictor.Predict(sampleData);
float tmpScore = predictionResult.Score;
if (tmpScore <= 0)
{
tmpScore = (tmpScore * -1) + 1;
}
PickGenerationProgressEvent.IncrementGenerationAttemptCount();
if (int.Parse(tmpScore.ToString().Substring(0, 1)) >= selectedCoefficient)
{
if (IsUniqueSequence(results, lp))
{
results.Add(lp);
}
PickGenerationProgressEvent.IncrementGeneratedPickCount();
}
if (!IsContinuePickGenerationProgress())
{
break;
}
if (loopBreaker++ >= maxLoopBreaker)
{
break;
}
if (results.Count >= maximumPickCount)
{
break;
}
}
RaisePickGenerationProgress();
StopPickGeneration();
return(results);
}