public async Task CheckLogisticRegressions()
{
SetupSimpleMocks(out Mock <ILocationClustering> mockLocationClustering,
out Mock <ILegRepository> mockLegRepository,
out Mock <IGeocodingDbSync> mockGeocodingDbSync,
out Mock <ISupervisedLearning <LogisticRegression, double[], double> >
mockLogisticRegressionAnalysis);
// train module
PickupPrediction instance = new PickupPrediction(mockLocationClustering.Object,
mockLegRepository.Object, mockGeocodingDbSync.Object, mockLogisticRegressionAnalysis.Object)
{
FareClassIntervals = new double[] { 8.9, 23.0, 30.5 }
};
await instance.LearnFromDates(DateTime.Now.AddDays(-2), DateTime.Now.AddDays(2));
// test method
IEnumerable <LogisticRegression> regressions = instance.GetLogisticRegressions(0, 1);
Assert.Equal(3, regressions.Count());
for (int i = 0; i < 3; i++)
{
LogisticRegression lrx = new LogisticRegression
{
Intercept = 0,
NumberOfClasses = 2,
NumberOfInputs = 3,
NumberOfOutputs = 1
};
AssertRegressionsEqual(lrx, regressions.ElementAt(i));
}
}
// check a function that gives a list of probabilities for classifications such as
// fare class or number of pickups
private async Task CheckProbabilityFunctionGivenFare(LogisticRegression[] lr,
Func <PickupPrediction, double[], double[], double, double, double, double, IEnumerable <double> > testFunc,
double pickupDelay, double duration, double fare, double interval, bool nullPickupDelays
)
{
Console.WriteLine("CheckProbabilityFunctionGivenFare called");
Mock <ILocationClustering> mockLocationClustering;
Mock <ILegRepository> mockLegRepository;
Mock <IGeocodingDbSync> mockGeocodingDbSync;
Mock <ISupervisedLearning <LogisticRegression, double[], double> > mockLogisticRegressionAnalysis;
if (nullPickupDelays)
{
SetupSimpleMocks2(out mockLocationClustering, out mockLegRepository,
out mockGeocodingDbSync, out mockLogisticRegressionAnalysis);
}
else
{
SetupSimpleMocks(out mockLocationClustering, out mockLegRepository,
out mockGeocodingDbSync, out mockLogisticRegressionAnalysis);
}
double[] fareClassIntervals = { 8.9, 23.0, 30.5 };
IEnumerable <Leg> legs = await mockLegRepository.Object.ListAsync();
SetupMockLogisticRegressionAnalysis(lr, mockLogisticRegressionAnalysis, fareClassIntervals, legs, out LogisticRegression[] mockLr);
PickupPrediction instance = new PickupPrediction(mockLocationClustering.Object, mockLegRepository.Object, mockGeocodingDbSync.Object, mockLogisticRegressionAnalysis.Object)
{
FareClassIntervals = fareClassIntervals
};
await instance.LearnFromDates(DateTime.Now.AddDays(-2), DateTime.Now.AddDays(2));
IEnumerable <double> actualProbabilities = testFunc(instance, new double[] { 0, 0 }, new double[] { 0, 1 }, pickupDelay, duration, fare, interval);
double[] pickupProbs = new double[actualProbabilities.Count()];
for (int i = 0; i < pickupProbs.Length; i++)
{
pickupProbs[i] = ComputeDensityEstimation(pickupDelay, duration, interval,
legs.Where(l => l.NumOfPassengersPickedUp == i + 1));
}
CheckProbabilityResultsGivenFare(pickupDelay, duration, mockLr, actualProbabilities, pickupProbs, fare, await instance.GetMaxNumberOfPickups(), fareClassIntervals, legs, mockLogisticRegressionAnalysis);
}
// check a function that gives a list of probabilities for classifications such as
// fare class or number of pickups
private async Task CheckProbabilityFunction <T3>(LogisticRegression[] lr,
Func <PickupPrediction, double[], double[], double, double, T3, double, IEnumerable <double> > testFunc,
double pickupDelay, double duration, T3 in3, double interval, bool nullPickupDelays, Func <Leg, bool> predicate = null
)
{
Console.WriteLine("CheckProbabilityFunction called");
Mock <ILocationClustering> mockLocationClustering;
Mock <ILegRepository> mockLegRepository;
Mock <IGeocodingDbSync> mockGeocodingDbSync;
Mock <ISupervisedLearning <LogisticRegression, double[], double> > mockLogisticRegressionAnalysis;
if (nullPickupDelays)
{
SetupSimpleMocks2(out mockLocationClustering, out mockLegRepository,
out mockGeocodingDbSync, out mockLogisticRegressionAnalysis);
}
else
{
SetupSimpleMocks(out mockLocationClustering, out mockLegRepository,
out mockGeocodingDbSync, out mockLogisticRegressionAnalysis);
}
double[] fareClassIntervals = { 8.9, 23.0, 30.5 };
IEnumerable <Leg> legs = await mockLegRepository.Object.ListAsync();
if (predicate != null)
{
legs = legs.Where(predicate);
}
SetupMockLogisticRegressionAnalysis(lr, mockLogisticRegressionAnalysis, fareClassIntervals, legs, out LogisticRegression[] mockLr);
PickupPrediction instance = new PickupPrediction(mockLocationClustering.Object, mockLegRepository.Object, mockGeocodingDbSync.Object, mockLogisticRegressionAnalysis.Object)
{
FareClassIntervals = fareClassIntervals
};
await instance.LearnFromDates(DateTime.Now.AddDays(-2), DateTime.Now.AddDays(2));
IEnumerable <double> actualProbabilities = testFunc(instance, new double[] { 0, 0 }, new double[] { 0, 1 }, pickupDelay, duration, in3, interval);
double pickupProb = ComputeDensityEstimation(pickupDelay, duration, interval, legs);
CheckProbabilityResults(pickupDelay, duration, mockLr, actualProbabilities, pickupProb);
}