private static void TestSinglePrediction(MLContext mLContext)
{
ITransformer loadedModel;
using (var stream = new FileStream(_fareModelPath, FileMode.Open, FileAccess.Read, FileShare.Read))
{
loadedModel = mLContext.Model.Load(stream);
}
var predictionFunction = loadedModel.CreatePredictionEngine <TaxiTrip, TaxiTripFarePrediction>(mLContext);
var taxiTripSample = new TaxiTrip()
{
VendorID = "VTS",
RateCode = "1",
PassengerCount = 2,
TripTime = 1140,
TripDistance = 3.75f,
PaymentType = "CRD",
TripAmount = 0
};
var prediction = predictionFunction.Predict(taxiTripSample);
Console.WriteLine($"**********************************************************************");
Console.WriteLine($"Predicted fare: {prediction.FareAmount:0.####}, actual fare: 15.5");
Console.WriteLine($"**********************************************************************");
GetUserChoice(mLContext, loadedModel);
}
private static void TestSinglePrediction(MLContext mLContext, TaxiTrip taxiTrip)
{
ITransformer loadedModel;
using (var stream = new FileStream(_fareModelPath, FileMode.Open, FileAccess.Read, FileShare.Read))
{
loadedModel = mLContext.Model.Load(stream);
}
var prediction = loadedModel.CreatePredictionEngine <TaxiTrip, TaxiTripFarePrediction>(mLContext).Predict(taxiTrip);
Console.WriteLine($"**********************************************************************");
Console.WriteLine($"Predicted fare: {prediction.FareAmount:0.####}.");
Console.WriteLine($"**********************************************************************");
GetUserChoice(mLContext, loadedModel);
}
