public AnalyticRuleSettings Aggregate()
{
ReliabilityEvaluator evaluator = new ReliabilityEvaluator(item);
AnalyticItemSettingsReliability reliability = evaluator.Evaluate();
AnalyticRuleSettings result =
new AnalyticRuleSettings(item.Type, reliability);
result.EngineType = item.TargetEngineType;
result.EngineFamilyType = item.TargetEngineFamilyType;
// 1. Get math expectation
double m = item.GetDoubleValues().Average();
// 2. Get Sigma
double sigma = Sigma.Get(item.GetDoubleValues().ToList());
float a = StandardAggregatorSettings.OptimalBound;
float b = StandardAggregatorSettings.MaxAcceptableBound;
result.SettingsMolecule.StatisticalAtom.MinOptimal = 0;
// 3. Get optimal bound as M + A*Sigma
result.SettingsMolecule.StatisticalAtom.
MaxOptimal = m + a * sigma;
// 4. Get acceptable bound as M + B*Sigma
result.SettingsMolecule.StatisticalAtom.
MaxAcceptable = m + b * sigma;
result.SettingsMolecule.StatisticalAtom.MinAcceptable = 0;
return(result);
}
public AnalyticRuleSettings Aggregate()
{
ReliabilityEvaluator evaluator = new ReliabilityEvaluator(item);
AnalyticRuleSettings result =
new AnalyticRuleSettings(item.Type, evaluator.Evaluate());
result.EngineType = item.TargetEngineType;
result.EngineFamilyType = item.TargetEngineFamilyType;
// 1. get median
double M = item.GetDoubleValues().Average();
// 2. Get Sigma
double sigma = Sigma.Get(item.GetDoubleValues().ToList());
// 3. Get a and b values
float a = StandardAggregatorSettings.OptimalBound;
float b = StandardAggregatorSettings.MaxAcceptableBound;
// 4. Get optimal bounds as M +/- a*sigma
result.SettingsMolecule.StatisticalAtom.MinOptimal = M - a * sigma;
result.SettingsMolecule.StatisticalAtom.MaxOptimal = M + a * sigma;
// 5. Get acceptable bounds as M +/- b*sigma
result.SettingsMolecule.StatisticalAtom.MinAcceptable = M - b * sigma;
result.SettingsMolecule.StatisticalAtom.MaxAcceptable = M + b * sigma;
return(result);
}