public async void RunPrediction()
{
var predictor = PredictorManager.GetPredictor(_arguments.Predictor);
if (predictor == null)
{
Console.WriteLine($"{_arguments.Predictor} predictor was not found in the Library");
Console.WriteLine(string.Empty);
Console.WriteLine("Available Predictors:");
foreach (var availablePredictor in PredictorManager.Predictors)
{
Console.WriteLine($"{availablePredictor.PredictorName} ({availablePredictor.PredictorPrettyName})");
}
return;
}
if (_arguments.Evaluate)
{
var metrics = await predictor.RunEvaluationAsync(_arguments.PredictionDataFileName);
if (metrics.IsNullOrError)
{
Console.WriteLine("Could not run evaluation due to an error");
return;
}
Console.WriteLine($"L1: {metrics.Value.L1}");
Console.WriteLine($"L2: {metrics.Value.L2}");
Console.WriteLine($"LossFn: {metrics.Value.LossFn}");
Console.WriteLine(Environment.NewLine);
}
else
{
var result = await predictor.RunPredictorAsync(_arguments.PredictionDataFileName, _arguments.TrainingDataFileName);
if (result.IsNullOrError)
{
Console.WriteLine("Failed to run model");
return;
}
Console.WriteLine(result.Value);
}
}
public void PredictorManager_ValidRetrieval()
{
var result = PredictorManager.GetPredictor(new WarriorsPredictor().PredictorName);
Assert.IsNotNull(result);
}
public void PredictorManager_NullRetrieval()
{
var result = PredictorManager.GetPredictor(null);
Assert.IsNull(result);
}
private void Initializate()
{
db = new BusStopsDataBaseEntities();
stations = db.Stations.ToList();
manager = new PredictorManager();
}