public void PredictEndLocation()
{
foreach (var driver in drivers)
{
RoutePrediction routePrediction = new RoutePrediction(500);
foreach (TripSummary trip in trips.Where(t => t.DriverId.Equals(driver)))
{
routePrediction.AddTripSummary(trip);
}
double lat = 47.6583066666667;
double lon = -122.14119;
RoutePredictionResult predictionResult = routePrediction.PredictEndLocation(lat, lon, DateTime.Now);
Console.WriteLine("driver: " + driver);
Console.WriteLine("cluster level: " + predictionResult.ClusterLevel);
foreach (var prediction in predictionResult.Predictions)
{
Console.Write("Lat/Lon: " + prediction.Lat + "/" + prediction.Lon);
Console.Write("\tProbability: " + prediction.Probability);
Console.Write("\tEndpoints: " + prediction.NrOfEndPoints);
Console.Write("\tMatches T/D/W: " + prediction.NrOfTimeMatches);
Console.Write("/" + prediction.NrOfDayMatches);
Console.WriteLine("/" + prediction.NrOfWorkdayMatches);
}
Console.WriteLine();
}
}
public void TrainAndValidate()
{
var clusterSizes = new int[] { 10, 100, 150, 200, 250, 300, 400, 500, 750, 1000, 2000 };
CSVWriter csvWriter = new CSVWriter(@"..\..\testdata\validations.csv", ";");
Console.WriteLine("Writing validation results to validations.csv");
foreach (var driver in drivers)
{
var currentTrips = trips.Where(t => t.DriverId.Equals(driver));
for (int i = 1; i < currentTrips.Count() - 1; i++)
{
List<TripSummary> trainingSet = new List<TripSummary>();
List<TripSummary> validationSet = new List<TripSummary>();
int j = 0;
foreach (var trip in currentTrips)
{
if (j++<i)
{
trainingSet.Add(trip);
}
else
{
validationSet.Add(trip);
}
}
foreach (var clusterSize in clusterSizes)
{
RoutePrediction routePrediction = new RoutePrediction(clusterSize);
RoutePredictionValidationResult result = routePrediction.TrainAndValidate(trainingSet, validationSet);
csvWriter.WriteRow(driver, clusterSize, trainingSet.Count(), validationSet.Count(), result.Validations);
}
}
}
Console.WriteLine("done");
}
