Ejemplo n.º 1
0
        ////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);
        }
Ejemplo n.º 2
0
        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);
        }
Ejemplo n.º 3
0
        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);
        }
Ejemplo n.º 4
0
        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);
        }