public override Tuple <string, ExposureMetricFunc>[] DefineContent(Dictionary <string, object> customVals)
{
MeasureList ml = new MeasureList(measures: new[] { 81, 79.5, 80.7, 78.1, 80.1, 74.8, 74.8, 79.8, 79.8 },
oel: 85);
UninformativeModelParameters modelParams = UninformativeModelParameters.GetDefaults(logNormalDstrn: false);
this.OverwriteDefaults(modelParams, customVals);
McmcParameters mcmcParams = new McmcParameters();
this.OverwriteDefaults(mcmcParams, customVals);
ExposureMetricEstimates eme = new ExposureMetricEstimates(
new SEGUninformativeModel(measures: ml,
specificParams: modelParams,
mcmcParams: mcmcParams));
this.Emes = new ExposureMetricEstimates[] { eme };
return(new Tuple <string, ExposureMetricFunc>[] {
Tuple.Create("Arithmetic mean", new ExposureMetricFunc(e => e.ArithMean())),
Tuple.Create("Arithmetic standard deviation", new ExposureMetricFunc(e => e.ArithStanDev())),
Tuple.Create("Exceedance Fraction (%)", new ExposureMetricFunc(e => e.ExceedanceFrac())),
Tuple.Create("95th percentile", new ExposureMetricFunc(e => e.P95()))
});
}
public override Tuple <string, ExposureMetricFunc>[] DefineContent(Dictionary <string, object> customVals)
{
MeasureList ml = new MeasureList(measures: new[] { 24.7, 64.1, 13.8, 43.7, 19.9, 133, 32.1, 15, 53.7 },
oel: 100);
SEGInformedVarModelParameters modelParams = SEGInformedVarModelParameters.GetDefaults(logNormalDstrn: true);
this.OverwriteDefaults(modelParams, customVals);
McmcParameters mcmcParams = new McmcParameters();
this.OverwriteDefaults(mcmcParams, customVals);
ExposureMetricEstimates eme = new ExposureMetricEstimates(
new SEGInformedVarModel(measures: ml, specificParams: modelParams, mcmcParams: mcmcParams));
this.Emes = new ExposureMetricEstimates[] { eme };
return(new Tuple <string, ExposureMetricFunc>[] {
Tuple.Create("GM", new ExposureMetricFunc(e => e.GeomMean())),
Tuple.Create("GSD", new ExposureMetricFunc(e => e.GeomStanDev())),
Tuple.Create("Exceedance Fraction (%)", new ExposureMetricFunc(e => e.ExceedanceFrac(true))),
Tuple.Create("95th percentile", new ExposureMetricFunc(e => e.P95(true))),
Tuple.Create("AIHA band probabilities in % (95th percentile)", new ExposureMetricFunc(e => e.BandProbabilities())),
Tuple.Create("Arithmetic mean", new ExposureMetricFunc(e => e.ArithMean(true))),
Tuple.Create("AIHA band probabilities in % (AM)", new ExposureMetricFunc(e => e.BandProbabilities(false)))
});
}
private Model buildModel()
{
Model model = null;
Range mer = meRange;
string mlStr = String.Join("|", Entrs.Observations.Split(new String[] { CR }, StringSplitOptions.RemoveEmptyEntries));
string meStr = "";
if ((bool)me_CV.IsChecked && !(MERange.Minimum == 0 && MERange.Maximum == 0))
{
meStr = "cv(" + ShowDouble(MERange.Minimum / 100) + "~" + ShowDouble(MERange.Maximum / 100) + ")|";
}
PastDataSummary PD = new PastDataSummary();
if ((bool)DistriAP_ExpostatsPData.IsChecked && !double.IsNaN(PastData.Mean) && !double.IsNaN(PastData.SD) && PastData.N != 0)
{
PD = new PastDataSummary(PastData.Mean, PastData.SD, PastData.N);
}
bool preBuildError = false;
MeasureList ml = new MeasureList(meStr + mlStr, Entrs.VLE);
if (!preBuildError)
{
if ((bool)UseModelGES.IsChecked)
{
if ((bool)DistriAP_Expostats.IsChecked)
{
model = new SEGInformedVarModel(measures: ml, specificParams: ModelParams, mcmcParams: MCMCParams, pastDataSummary: PD);
}
else if ((bool)DistriAP_Uniforme.IsChecked)
{
UninformativeModelParameters ump = convertParams(ModelParams);
model = new SEGUninformativeModel(measures: ml, specificParams: ump, mcmcParams: MCMCParams);
}
}
else if ((bool)UseModelBW.IsChecked)
{
if ((bool)DistribAPBW_Expostats.IsChecked)
{
model = new BetweenWorkerModel(ml, BwModelParams, MCMCParams);
}
else if ((bool)DistribAPBW_Uniform.IsChecked)
{
BWUModelParams.InitMuOverall = BwModelParams.InitMuOverall;
BWUModelParams.InitSigmaWithin = BwModelParams.InitSigmaWithin;
BWUModelParams.MuOverallLower = BwModelParams.MuOverallLower;
BWUModelParams.MuOverallUpper = BwModelParams.MuOverallUpper;
model = new BetweenWorkerModel(ml, BWUModelParams, MCMCParams);
}
}
}
return(model);
}
// GET: Measure
public ActionResult MeasureSearch(MeasureDTO measure)
{
MeasureBL bl = new MeasureBL();
MeasureList model = new MeasureList();
DataTable dt;
bl.SearchData(measure, out dt);
model.Measures = CommonMethod.DataTableToList <MeasureDTO>(dt);
return(View(model));
}
protected virtual void LoadData(IStoryEntityObject target)
{
target.Name = Name;
target.Memo = Memo;
target.BeginTime = BeginTime;
target.EndTime = EndTime;
ParameterList.ForEach(v => target.ParameterList.Add(v.GetData()));
NoteList.ForEach(v => target.NoteList.Add(v.Clone() as INote));
//KeyWordList.ForEach(v => target.KeyWordList.Add(v.ToString()));
MeasureList.ForEach(v => target.MeasureList.Add(v.Clone() as IMeasure));
}
//ObservableCollection<IStructureDiagram> _StructureDiagramList = new ObservableCollection<IStructureDiagram>();
//public ObservableCollection<IStructureDiagram> StructureDiagramList { get { return _StructureDiagramList; } }
//public IFateDiagram FateDiagram { get { return TargetObject.TargetFate; }set { TargetObject.TargetFate = value; OnPropertyChanged("FateDiagram"); } }
//ObservableCollection <Resource> _ResourceList = new ObservableCollection<Resource>();
//public ObservableCollection<Resource> ResourceList { get { return _ResourceList; } }
public override void LoadInfo()
{
MeasureList.Clear();
TargetObject.MeasureList.ForEach(v => MeasureList.Add(v));
LoadNoteList();
//StructureDiagramList.Clear();
//TargetObject.StructureDiagramList.ForEach(v => StructureDiagramList.Add(v));
RefreshAllProperty();
}
public override Tuple <string, ExposureMetricFunc>[] DefineContent(Dictionary <string, object> customVals)
{
MeasureList ml = new MeasureList(measures: new[] { 24.7, 64.1, 13.8, 43.7, 19.9, 133, 32.1, 15, 53.7 },
oel: 100);
SEGInformedVarModelParameters modelParams = SEGInformedVarModelParameters.GetDefaults(logNormalDstrn: true);
this.OverwriteDefaults(modelParams, customVals);
McmcParameters mcmcParams = new McmcParameters();
this.OverwriteDefaults(mcmcParams, customVals);
ExposureMetricEstimates emeInformed = new ExposureMetricEstimates(
new SEGInformedVarModel(
measures: ml,
specificParams: modelParams,
mcmcParams: mcmcParams
));
UninformativeModelParameters uninfModelParams = UninformativeModelParameters.GetDefaults(logNormalDstrn: true);
this.OverwriteDefaults(modelParams, customVals);
ExposureMetricEstimates emeUninformed = new ExposureMetricEstimates(
new SEGUninformativeModel(
measures: ml,
specificParams: uninfModelParams,
mcmcParams: mcmcParams
));
ExposureMetricEstimates emePdInformed = new ExposureMetricEstimates(
new SEGInformedVarModel(
measures: ml,
specificParams: modelParams,
mcmcParams: mcmcParams,
pastDataSummary: new PastDataSummary(mean: Math.Log(5), sd: Math.Log(2.4), n: 5)
));
this.Emes = new ExposureMetricEstimates[] { emeInformed, emeUninformed, emePdInformed };
return(new Tuple <string, ExposureMetricFunc>[] {
Tuple.Create("GM (90% CrI)", new ExposureMetricFunc(e => e.GeomMean())),
Tuple.Create("GSD (90% CrI)", new ExposureMetricFunc(e => e.GeomStanDev())),
Tuple.Create("Exceedance fraction (%)(90 % CrI)", new ExposureMetricFunc(e => e.ExceedanceFrac())),
Tuple.Create("95th percentile (90% CrI)", new ExposureMetricFunc(e => e.P95())),
Tuple.Create("Overexposure risk (%, P95)", new ExposureMetricFunc(e => e.OverExposureRisk())),
Tuple.Create("AM (90% CrI)", new ExposureMetricFunc(e => e.ArithMean())),
Tuple.Create("Overexposure risk (%, AM)", new ExposureMetricFunc(e => e.OverExposureRisk(false))),
});
}
public override void SaveInfo()
{
TargetObject.MeasureList.Clear();
MeasureList.ToList().ForEach(v => TargetObject.MeasureList.Add(v));
SaveNoteList();
//TargetObject.StructureDiagramList.Clear();
//StructureDiagramList.ToList().ForEach(v => TargetObject.StructureDiagramList.Add(v));
IsChanged = false;
var vm = MainViewModel.mainViewModel;
if (vm != null)
{
vm.RefreshAllView(this);
}
}
public override ValidationResult Validate(object value, System.Globalization.CultureInfo cultureInfo)
{
MeasureList ml = new MeasureList(value as string);
return(new ValidationResult(true, null));
}
