/// <summary>
/// 获得所有车号/名次的熵
/// </summary>
/// <param name="reviewCnt"></param>
/// <param name="stepLong"></param>
/// <returns></returns>
public override List <double> getEntropyList(int reviewCnt)
{
//Dictionary<string, double> ret = new Dictionary<string, double>();
double ret = 0;
Dictionary <string, double> CntList = new Dictionary <string, double>();
string key_model = "{0}_{1}";
List <double> AllColsList = new List <double>();
for (int i = 0; i < 10; i++)//遍历所有表列
{
string strCol = string.Format("{0}", (i + 1) % 10);
List <double> colList = new List <double>();
for (int val = 0; val < 10; val++)
{
string strKey = string.Format(key_model, strCol, val);
//////List<double> keyInReviewCnt = new List<double>();
//////for (int r = 0; r < reviewCnt; r++)
//////{
////// string strVal = val.ToString();
int ExistCnt = FindLastDataExistCount(reviewCnt, strKey, val.ToString());
////// keyInReviewCnt.Add((double)ExistCnt);
//////}
//////double KeyInReviewStdDev = ProbMath.CalculateStdDev(keyInReviewCnt.ToArray());
double p = (double)(ExistCnt / reviewCnt);
CntList.Add(strKey, p);
colList.Add(p);
}
double colEntropy = EntropyClass.GetEntropy(colList.ToArray());//获得各车/次熵值
AllColsList.Add(colEntropy);
}
ret = ProbMath.CalculateStdDev(CntList.Values.ToArray());
AllColsList.Add(ret);
return(AllColsList);
}
private void btn_Bayes_Click(object sender, EventArgs e)
{
double Atrue = double.Parse(this.txt_N.Text);
double Btrue = double.Parse(this.txt_M.Text);
double Afalse = double.Parse(this.txt_N1.Text);
double Bfalse = double.Parse(this.txt_M1.Text);
this.txt_Return.Text = string.Format("{0}", EntropyClass.GetBayes(Atrue, Afalse, Btrue, Bfalse));
}
