public String FindCorrelation(String category)
{
//if correlation is already logged in the dictionary, return it
if (correlations.ContainsKey(category))
{
return(correlations[category]);
}
else
{
//else search for it in the DLL
MostCorrelatedFeature MostCorrelatedFeature = (MostCorrelatedFeature)Marshal.GetDelegateForFunctionPointer(pMostCorrelatedFeature, typeof(MostCorrelatedFeature));
StringBuilder tmp = new StringBuilder();
MostCorrelatedFeature(AnomalyDetector, regFlightPath, dataList.ToArray(), dataList.Count(), category, tmp);
return(tmp.ToString());
}
}
/*public void LineReg(String category, String correlatedCategory)
* {
* findLinReg findLinReg = (findLinReg)Marshal.GetDelegateForFunctionPointer(pFindLinReg, typeof(findLinReg));
* //findLinReg(TimeSeries, category, correlatedCategory);
* }*/
public void CreateCorrelations()
{
MostCorrelatedFeature MostCorrelatedFeature = (MostCorrelatedFeature)Marshal.GetDelegateForFunctionPointer(pMostCorrelatedFeature, typeof(MostCorrelatedFeature));
StringBuilder tmp = new StringBuilder();
foreach (String category in dataList)
{
//finding the most correlated feature for each of the categories, according to the algorithm
if (!correlations.ContainsKey(category))
{
MostCorrelatedFeature(AnomalyDetector, regFlightPath, dataList.ToArray(), dataList.Count(), category, tmp);
String tmpString = tmp.ToString();
if (!correlations.ContainsKey(category))
{
correlations.Add(category, tmpString);
//adding the anomaly time steps for the dictionary for this category so we can upload them at any time without calling for the DLL function
//relevantTimeSteps.Add(category, GetAllTimestepsForeAnomalies(category, tmpString));
}
}
}
}
