public UninamePeriodMethod(List<Sample> samples, int numOfPhases, IRegression regressionMethod)
{
this.samples = samples.OrderBy(s => s.Time).ToList();
this.NumOfPhases = numOfPhases;
this.Regression = regressionMethod;
this.CalculateModel();
}
public MainViewModel(IDataLoader _dataLoader, INavigationService service, IDialogService dialog, IRegression regression)
{
this.dataLoader = _dataLoader;
ModelData = new ObservableCollection <DataModel>();
columnIndices = new ObservableCollection <int>();
MaxValues = new List <string>();
navigationService = service;
dialogService = dialog;
lr = regression;
PredictEnabled = false;
}
public static void Add(this IRegression r, IEnumerable <DateTimeOffset> val)
{
if (val is null)
{
r.Add(NULL); return;
}
var col = val as ICollection <DateTimeOffset> ?? val.ToArray();
r.Add((uint)col.Count);
foreach (var v in col)
{
r.Add(v);
}
}
public BetaDistributionAnalysisPhaseTwo(ParametersPack args, IRegression regression)
{
_args = args.ThrowIfNull(nameof(args));
_regression = regression.ThrowIfNull(nameof(regression));
_iterationsNumber = args.GetIterationsNumber(phaseNumber: 2);
_lastSegmentValueRowIndex = _iterationsNumber.SkipHeader();
_additionalDataColumn = ExcelWrapperForPhaseTwo.GetAdditionalDataColumn(_iterationsNumber);
_sampleSizeColumnIndex = ExcelWrapperForPhaseTwo.GetSampleSizeColumn(_iterationsNumber);
_theoreticalMinColumn = ExcelWrapperForPhaseTwo.GetTheoreticalMinColumn(_iterationsNumber);
_theoreticalMaxColumn = ExcelWrapperForPhaseTwo.GetTheoreticalMaxColumn(_iterationsNumber);
_alphaColumn = GetAlphaColumn();
_betaColumn = GetBetaColumn();
}
public MohrCohesionlessParameters(IEnumerable <TriaxialTest> _listOfTraxialTests, double _atm = 100)
{
_regressionManager = new LinearRegression();
_atmosphericPressure = _atm;
ResolveParameters(_listOfTraxialTests);
}
public EngleGrander(IRegression regression = null, IStationarityChecker checker = null)
{
_regression = regression ?? new SimpleLinearRegression();
_stationarityChecker = checker ?? new AugmentedDickeyFuller();
}
public RegressionPipeline(ITransformation transformation, IRegression <TR, TE> regression)
{
_transformation = transformation;
_regression = regression;
}
