////public Vector getVectors(int index, int CheckCnt)
////{
//// Vector v = Vector.Zero(0);
//// for (int c = 0; c < 10; c++)
//// {
//// for (int r = index - CheckCnt + 1; r <= index; r++)
//// {
//// v.Append(double.Parse(Data[r].ValueList[c]));
//// }
//// }
//// return v;
////}
public Dictionary <string, double> OccurColumnProb(int col, int shiftCol, int TestLength, int LastTimes)
{
Dictionary <string, double> ret = new Dictionary <string, double>();
BayesDicClass bdic = OccurrDir(col, shiftCol, TestLength, LastTimes);
ret = bdic.getBA();
return(ret);
}
public Dictionary <int, Dictionary <int, double> > OccurProbDetailList(int shift, int TestLength, int LastTimes, int SelectListCnt)
{
Dictionary <int, Dictionary <int, double> > ret = new Dictionary <int, Dictionary <int, double> >();
for (int i = 0; i < 10; i++)
{
Dictionary <string, double> res = OccurColumnProb(i, shift, TestLength, LastTimes);
string str = Data.LastData.ValueList[i]; //最后记录对应i名的车号
int col = (i + 1) % 10;
Dictionary <int, double> colList = BayesDicClass.getBAMaxNProbValue(res, int.Parse(str), SelectListCnt); //该列上，以该车号为条件B推出所有车号的概率
ret.Add(col, colList);
}
return(ret);
}
public Dictionary <int, List <int> > OccurProbList(int shift, int TestLength, int LastTimes, int SelectListCnt)
{
Dictionary <int, List <int> > ret = new Dictionary <int, List <int> >();
for (int i = 0; i < 10; i++)
{
Dictionary <string, double> res = OccurColumnProb(i, shift, TestLength, LastTimes);
string str = Data.LastData.ValueList[i];
//str = str == "0" ? "10" : str;
int col = (i + 1) % 10;
List <int> colList = BayesDicClass.getBAMaxNValue(res, int.Parse(str), SelectListCnt);
ret.Add(col, colList);
}
return(ret);
}
BayesDicClass OccurrDir(int col, int shiftCol, int TestLength, int LastTimes, bool LastisSerial)//add by zhouys 2019/1/15
{
BayesDicClass ret = new BayesDicClass();
int iShift = Data.Count - TestLength;
if (iShift <= LastTimes) //Data length must more than TestLength+LastTimes+1
{
return(ret);
}
Dictionary <string, int> defaultDic = PKProbVector.getDefaultCombDic();
Dictionary <int, int> PreA = PKProbVector.InitPriorProbabilityDic();
Dictionary <int, int> PreB = PKProbVector.InitPriorProbabilityDic();
//for (int col=0;col<10;col++)
//{
Dictionary <string, int> combDic = defaultDic;
int BColIndex = (col + shiftCol) % 10; //对于大于10的取模
if (BColIndex < 0) //对于小于0的，+10 如：0 + （-1） = 9
{
BColIndex = BColIndex + 10;
}
for (int i = iShift - 1; i < Data.Count; i++)
{
int CurrA = int.Parse(Data[i].ValueList[col]);
int CurrB = int.Parse(Data[i - LastTimes].ValueList[BColIndex]);
string key = string.Format("{0}_{1}", CurrA, CurrB);
int cnt = combDic[key];
combDic[key] = cnt + 1;
PreA[CurrA] = PreA[CurrA] + 1;
PreB[CurrB] = PreB[CurrB] + 1;
}
ret.PosteriorProbDic = combDic;
ret.PriorProbDicA = PreA;
ret.PriorProbDicB = PreB;
ret.TestLength = TestLength;
//}
return(ret);
}