public void startTrain(List <List <Dictionary <string, List <DataInfo> > > > trainDataList, List <int> ScoreList)
{
onTrainDone done = new onTrainDone(StyleMainVC.Instance.onNNDone);
if (trainDataList.Count != ScoreList.Count)
{
print("In *startTrain* List Count Err");
}
else
{
for (int iIndex = 0; iIndex < trainDataList.Count; iIndex++)
{
double[] input = normalizeDataInfo(trainDataList[iIndex]);
double[] output = { (double)ScoreList[iIndex] / 100 };
dataSets.Add(new DataSet(input, output));
//float[] input = { CulInfoList[iIndex].x, CulInfoList[iIndex].y };
//int[] output = { ScoreList[iIndex] };
//dataSets.Add(new DataSet2(input, output));
}
net.Train(dataSets, MinimumError);
done();
}
}
public void startTrain(List <Vector2> CulInfoList, List <int> ScoreList)
{
onTrainDone done = new onTrainDone(StyleMainVC.Instance.onNNDone);
if (CulInfoList.Count != ScoreList.Count)
{
print("In *startTrain* List Count Err");
}
else
{
for (int iIndex = 0; iIndex < CulInfoList.Count; iIndex++)
{
double[] input = { (double)(CulInfoList[iIndex].x - 0.5f) / 3, (double)CulInfoList[iIndex].y };
double[] output = { (double)ScoreList[iIndex] / 100 };
dataSets.Add(new DataSet(input, output));
//float[] input = { CulInfoList[iIndex].x, CulInfoList[iIndex].y };
//int[] output = { ScoreList[iIndex] };
//dataSets.Add(new DataSet2(input, output));
}
net.Train(dataSets, MinimumError);
done();
}
}
