private static void TestSinglePrediction(MLContext mL, ITransformer model)
{
var engine = mL.Model
.CreatePredictionEngine <TaxiTrip, TaxiTripFarePrediction>(model);
var sample = new TaxiTrip
{
VendorId = "VTS",
RateCode = "1",
PassengerCount = 1,
TripTime = 1140,
TripDistance = 3.75f,
PaymentType = "CRD",
FareAmount = 0
};
var prediction = engine.Predict(sample);
Console.WriteLine($"Predicted fare: {prediction.FareAmount:0.####}, actual fare: 15.5");
}
/// <summary>
/// Creates a single comment of test data.
/// Predicts fare amount based on test data.
/// Combines test data and predictions for reporting.
/// Displays the predicted results.
/// </summary>
/// <param name="mlContext"></param>
/// <param name="model"></param>
public static void TestSinglePrediction(MLContext mlContext, ITransformer model)
{
var predictionFunction = mlContext.Model.CreatePredictionEngine <TaxiTrip, TaxiTripFarePrediction>(model);
var taxiTripSample = new TaxiTrip()
{
VendorId = "VTS",
RateCode = "1",
PassengerCount = 1,
TripTime = 1140,
TripDistance = 3.75f,
PaymentType = "CRD",
FareAmount = 0 // To predict. Actual/observed = 15.5
};
var prediction = predictionFunction.Predict(taxiTripSample);
Console.WriteLine($"**********************************************************************");
Console.WriteLine($"Predicted fare: {prediction.FareAmount:0.####}, actual fare: 15.5");
Console.WriteLine($"**********************************************************************");
}
