public override IStatModel FromSamples(ISamplesRepository samplesRepository)
{
var performanceSamples = samplesRepository.GetSamples() as PerformanceSample[] ?? samplesRepository.GetSamples().ToArray();
var mle = performanceSamples.Length / performanceSamples.Sum(t => t.Duration.TotalMilliseconds); // TODO: Check
return(new ExponentialStatModel(mle));
}
public override IStatModel FromSamples(ISamplesRepository samplesRepository)
{
var performanceSamples = samplesRepository.GetSamples() as PerformanceSample[] ?? samplesRepository.GetSamples().ToArray();
var min = performanceSamples.Min(t => t.Duration.TotalMilliseconds);
var max = performanceSamples.Max(t => t.Duration.TotalMilliseconds);
return(new UniformStatModel(min, max));
}
public ModelFittingComponentViewModel(ISamplesRepository samplesRepository)
{
this.samplesRepository = samplesRepository;
this.FitModelCommand = new RelayCommand(() => { this.FitModelEvent?.Invoke(this, EventArgs.Empty); });
this.Models = new ObservableCollection <StatModelConstructor>(new List <StatModelConstructor>
{
new CustomStatModelConstructor(),
new NormalStatModelConstructor(),
new LogNormalStatModelConstructor(),
new UniformStatModelConstructor(),
new ExponentialStatModelConstructor()
});
}
public override IStatModel FromSamples(ISamplesRepository samplesRepository)
{
var performanceSamples = samplesRepository.GetSamples() as PerformanceSample[] ?? samplesRepository.GetSamples().ToArray();
var estMean = performanceSamples.Sum(t => t.Duration.TotalMilliseconds);
estMean = estMean / performanceSamples.Length;
var estVariance = performanceSamples.Sum(t => Math.Pow((t.Duration.TotalMilliseconds - estMean), 2));
estVariance = estVariance / performanceSamples.Length;
return(new NormalStatModel(estMean, Math.Sqrt(estVariance)));
}
public SamplesService(
IPhotoProcessingService photoProcessingService,
IPredictionClassRepository predictionClassRepository,
ISamplesRepository samplePhotoRepository,
IConfiguration configuration)
{
_photoProcessingService = photoProcessingService;
_predictionClassRepository = predictionClassRepository;
_samplePhotoRepository = samplePhotoRepository;
_photosLocation = configuration["appStorage:samples:photosLocation"];
_photosTokensLocation = configuration["appStorage:samples:photosTokensLocation"];
_testPhotosFileLocation = configuration["appStorage:samples:testPhotosFileLocation"];
_trainPhotosFileLocation = configuration["appStorage:samples:trainPhotosFileLocation"];
_predictionClassesLocation = configuration["appStorage:samples:predictionClassesFileLocation"];
_testPhotosDirectory = configuration["appStorage:samples:testPhotosDirectory"];
}
public override IStatModel FromSamples(ISamplesRepository samplesRepository)
{
var performanceSamples = samplesRepository.GetSamples() as PerformanceSample[] ?? samplesRepository.GetSamples().ToArray();
var logSamples =
(from ps in performanceSamples
select Math.Log(ps.Duration.TotalMilliseconds)).ToArray();
var estLogScale = logSamples.Sum(t => t);
estLogScale = estLogScale / logSamples.Length;
var estShape = logSamples.Sum(t => Math.Pow(t - estLogScale, 2));
estShape = estShape / logSamples.Length;
return(new LogNormalStatModel(estLogScale, Math.Sqrt(estShape)));
}
public SamplesProviderService(ISamplesRepository repository)
{
this.repository = repository;
}
public override IStatModel FromSamples(ISamplesRepository samplesRepository)
{
return(new CustomStatModel(samplesRepository.GetSamples()));
}
public SamplesController(ISamplesRepository samplesRepository)
{
_samplesRepository = samplesRepository;
}
public abstract IStatModel FromSamples(ISamplesRepository samplesRepository);
public SamplesController(IStatusesRepository statusesRepository, ISamplesRepository samplesRepository, IUsersRepository usersRepository)
{
_samplesRepository = samplesRepository;
_usersRepository = usersRepository;
_statusesRepository = statusesRepository;
}
