public async Task <taxiFarePredOutput> EvaluateAsync(taxiFarePredInput input)
{
binding.Bind("PassengerCount", input.PassengerCount);
binding.Bind("TripTime", input.TripTime);
binding.Bind("TripDistance", input.TripDistance);
binding.Bind("FareAmount", input.FareAmount);
var result = await session.EvaluateAsync(binding, "0");
var output = new taxiFarePredOutput();
output.PassengerCount0 = result.Outputs["PassengerCount0"] as TensorFloat;
output.TripTime0 = result.Outputs["TripTime0"] as TensorFloat;
output.TripDistance0 = result.Outputs["TripDistance0"] as TensorFloat;
output.FareAmount0 = result.Outputs["FareAmount0"] as TensorFloat;
output.Features0 = result.Outputs["Features0"] as TensorFloat;
output.Score0 = result.Outputs["Score0"] as TensorFloat;
return(output);
}
private async void Button_Click(object sender, RoutedEventArgs e)
{
var shape = new long[] { 1, 1 };
var modelInput = new taxiFarePredInput()
{
PassengerCount = TensorFloat.CreateFromArray(shape, new float[] { 1f }),
TripTime = TensorFloat.CreateFromArray(shape, new float[] { 1140f }),
TripDistance = TensorFloat.CreateFromArray(shape, new float[] { 3.75f }),
FareAmount = TensorFloat.CreateFromArray(shape, new float[] { 0f }),
};
var modelFile = await StorageFile.GetFileFromApplicationUriAsync(new Uri("ms-appx:///Assets/taxiFarePred.onnx"));
var session = await taxiFarePredModel.CreateFromStreamAsync(modelFile);
var modelOutput = await session.EvaluateAsync(modelInput);
var score = modelOutput.Score0.GetAsVectorView();
btn1.Content = score[0];
}