static readonly string _modelpath = Path.Combine(Environment.CurrentDirectory, "Data", "Model.zip"); //Eğitimli modelin depolandığı dosyanın yolu.
static async Task Main(string[] args)
{
Console.WriteLine(Environment.CurrentDirectory);
PredictionModel <TaxiTrip, TaxiTripFarePrediction> model = await Train();
TaxiTripFarePrediction prediction = model.Predict(TestTrips.Trip1);
Console.WriteLine("Predicted fare: {0}, actual fare: 29.5", prediction.FareAmount);
Evaluate(model);
}
static async Task Main(string[] args)
{
/* BEGIN This code produces a model and performs a prediction
* PredictionModel<TaxiTrip, TaxiTripFarePrediction> model = await Train();
* Evaluate(model);
* TaxiTripFarePrediction prediction = model.Predict(getTrip());
* Console.WriteLine("Predicted fare: {0}, actual fare: 29.5", prediction.FareAmount);
*/
/* This code performs a prediction from the model file (Model.zip) */
TaxiTripFarePrediction prediction = await Predict(getTrip());
Console.WriteLine("Predicted fare: {0}, actual fare: 29.5", prediction.FareAmount);
}
private static void Evaluate(PredictionModel <TaxiTrip, TaxiTripFarePrediction> model)
{
var testData = new TextLoader(_testdatapath).CreateFrom <TaxiTrip>(useHeader: true, separator: ',');
var evaluator = new RegressionEvaluator();
RegressionMetrics metrics = evaluator.Evaluate(model, testData);
Console.WriteLine($"RMS = {metrics.Rms}");
Console.WriteLine($"RSquared = {metrics.RSquared}");
// Using the model for predictions
TaxiTripFarePrediction prediction = model.Predict(TestTrip.Trip1);
Console.WriteLine($"Predicted fare: {prediction.FareAmount}, actual fare: 29.5");
}
private static void TestSinglePrediction(TaxiFarePredictionEngine.PredictionEngine predictionEngine)
{
TaxiTrip taxiTripSample = new TaxiTrip()
{
VendorId = "VTS",
RateCode = "1",
PassengerCount = 1,
TripTime = 1140,
TripDistance = 3.75f,
PaymentType = "CRD",
FareAmount = 0
};
TaxiTripFarePrediction prediction = predictionEngine.GetFarePrediction(taxiTripSample);
Console.WriteLine($"**********************************************************************");
Console.WriteLine($"Predicted fare: {prediction.FareAmount:0.####}, actual fare: 15.5");
Console.WriteLine($"**********************************************************************");
}
// </Snippet2>
// <Snippet8>
static async Task Main(string[] args)
// </Snippet8>
{
Console.WriteLine(Environment.CurrentDirectory);
// <Snippet7>
PredictionModel <TaxiTrip, TaxiTripFarePrediction> model = await Train();
// </Snippet7>
// <Snippet10>
Evaluate(model);
// </Snippet10>
// <Snippet16>
TaxiTripFarePrediction prediction = model.Predict(TestTrips.Trip1);
Console.WriteLine("Predicted fare: {0}, actual fare: 29.5", prediction.FareAmount);
Console.Read();
// </Snippet16>
}
static async Task Main(string[] args)
{
try
{
//Train
PredictionModel <TaxiTrip, TaxiTripFarePrediction> model = await Train();
//Eval - Evaluate accuracy of predictions using test data
Evaluate(model);
//Predict
TaxiTripFarePrediction prediction = model.Predict(TestTrips.Trip1);
Console.WriteLine("Predicted fare: {0}, actual fare: 29.5", prediction.FareAmount);
Console.ReadKey();
}
catch (Exception ex)
{
Console.WriteLine($"Exception Message: {ex.Message}");
Console.ReadKey();
}
}