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(); } }