public async Task Test(string dataset, string filename)
{
ModelSerializer modelSerializer = new ModelSerializer();
model = modelSerializer.DeserializeCNN(filename);
fDataSet testdataset = new fDataSet();
testdataset.Deserializer(dataset);
int index = random.Next(0, testdataset.fData.Count);
AI.Core.fDataSet dataSet = new AI.Core.fDataSet();
dataSet.fData = testdataset.fData;
pixel = testdataset.fData[index].Pixel;
label = testdataset.fData[index].DecodeLabel;
//model.predict
probs = model.Predict(dataSet.fData[index]);
AI.ML.CNN.Trainers.ADAM adam = new AI.ML.CNN.Trainers.ADAM();
softmaxOutput = adam.Softmax(probs);
double maxValue = softmaxOutput.Max();
predict = softmaxOutput.ToList().IndexOf(maxValue);
//int lindex = random.Next(0, 5);
//predict = lindex == 2 ? random.Next(0, 9) : label;
result[0] = label;
result[1] = predict;
await Clients.All.SendAsync("ReceiveMessage", pixel);
await Clients.All.SendAsync("ReceiveLabel", result);
}
