private void StartTraining()
{
var(inputData, expectedOutputData) = NeuralNetworkHelper.ReduceDataset(
humanCar.StateInputMeasurements.ToList(),
humanCar.StateOutputMeasurements.ToList());
for (int i = 0; i < inputData.Count(); i++)
{
if (inputData[i].All(d => d == 0))
{
inputData.RemoveAt(i);
expectedOutputData.RemoveAt(i);
i--;
}
}
notificationService.ShowToast(
ToastType.Info,
"Training Started...");
// Right now the training happens so fast, not sure if we need to be reporting progress
network = NeuralNetworkHelper.GetTrainedNetwork(inputData, expectedOutputData, (c, t) => { });
notificationService.ShowToast(
ToastType.Info,
"Training Complete.");
}