public float GetLinearRegression(DidiDBDetail detailData, DidiPerData fixData, LinearCoef LinearCoefData, int logisticRegression)
{
log.Info("GetLinearRegression data :{0}", DateTime.Now);
if (logisticRegression == 1 || logisticRegression == 3)
{
Dictionary<string, float > dicLinear = new Dictionary<string, float>();
string direction = logisticRegression == 1 ? "Increase" : "Decrease";
dicLinear = LinearCoefData.ListCoef.Where(w => w.promo_strgy == detailData.promo_strgy && w.keyword_cat == detailData.keyword_cat && w.direction == direction).Select(s => new { s.coef_name, s.coef }).ToDictionary(x => x.coef_name, x=>x.coef);
var ddd = LinearCoefData.ListCoef.Where(w => w.coef_type == 1).Select(s => s.coef).FirstOrDefault();
float f_per_p = dicLinear["click"] * fixData.click
+ dicLinear["imp"] * fixData.imp
+ dicLinear["conv"] * fixData.conv
+ dicLinear["roi"] * fixData.roi
+ dicLinear["imp_rank1"] * fixData.imp_rank1
+ dicLinear["pc_score"] * fixData.pc_score
+ dicLinear["ctr"] * fixData.ctr
+ dicLinear["ctr_ind"] * fixData.ctr_ind
+ dicLinear["cpc"] * fixData.cpc
+ dicLinear["cpc_ind"] * fixData.cpc_ind
+ dicLinear["d_spend_ind"] * fixData.d_spend_ind
+ dicLinear["cpc_limt_ind"] * fixData.cpc_limit_ind;
//float f_per_p = dicLinear["click"] * fixData.click;
//f_per_p = f_per_p + dicLinear["imp"] * fixData.imp;
//f_per_p = f_per_p + dicLinear["conv"] * fixData.conv;
//f_per_p = f_per_p + dicLinear["roi"] * fixData.roi;
//f_per_p = f_per_p + dicLinear["imp_rank1"] * fixData.imp_rank1;
// f_per_p = f_per_p + dicLinear["pc_score"] * fixData.pc_score;
//f_per_p = f_per_p + dicLinear["ctr"] * fixData.ctr;
//f_per_p = f_per_p + dicLinear["ctr_ind"] * fixData.ctr_ind;
//f_per_p = f_per_p + dicLinear["cpc"] * fixData.cpc;
//f_per_p = f_per_p + dicLinear["cpc_ind"] * fixData.cpc_ind;
//f_per_p = f_per_p + dicLinear["d_spend_ind"] * fixData.d_spend_ind;
//f_per_p = f_per_p + dicLinear["cpc_limt_ind"] * fixData.cpc_limit_ind;
log.Info("GetLinearRegression data end :{0}", DateTime.Now);
return f_per_p;
}
else
{
log.Info("GetLinearRegression data end nan :{0}", DateTime.Now);
return float.NaN;
}
}
public int GetLogisticRegression(DidiDBDetail detailData, DidiPerData fixData, LogitCoef LogitCoefData)
{
log.Info("GetLogisticRegression data :{0}", DateTime.Now);
float t2 = LogitCoefData.listLogitCoef.Where(w => w.coef_name == "(Intercept):2").Select(s => s.coef).FirstOrDefault();
t2 = t2 + LogitCoefData.listLogitCoef.Where(w => w.coef_name == "click:2").Select(s => s.coef).FirstOrDefault() * fixData.click;
t2 = t2 + LogitCoefData.listLogitCoef.Where(w => w.coef_name == "roi:2").Select(s => s.coef).FirstOrDefault() * fixData.roi;
t2 = t2 + LogitCoefData.listLogitCoef.Where(w => w.coef_name == "imp_rank1:2").Select(s => s.coef).FirstOrDefault() * fixData.imp_rank1;
t2 = t2 + LogitCoefData.listLogitCoef.Where(w => w.coef_name == "pc_score:2").Select(s => s.coef).FirstOrDefault() * fixData.pc_score;
t2 = t2 + LogitCoefData.listLogitCoef.Where(w => w.coef_name == "ctr_ind:2").Select(s => s.coef).FirstOrDefault() * fixData.ctr_ind;
t2 = t2 + LogitCoefData.listLogitCoef.Where(w => w.coef_name == "cpc_ind:2").Select(s => s.coef).FirstOrDefault() * fixData.cpc_ind;
t2 = t2 + LogitCoefData.listLogitCoef.Where(w => w.coef_name == "d_limt_ind:2").Select(s => s.coef).FirstOrDefault() * fixData.d_limt_ind;
t2 = t2 + LogitCoefData.listLogitCoef.Where(w => w.coef_name == "d_spend_ind:2").Select(s => s.coef).FirstOrDefault() * fixData.d_spend_ind;
t2 = t2 + LogitCoefData.listLogitCoef.Where(w => w.coef_name == "price_limt_ind:2").Select(s => s.coef).FirstOrDefault() * fixData.price_limit_ind;
t2 = t2 + LogitCoefData.listLogitCoef.Where(w => w.coef_name == "cpc_mm:2").Select(s => s.coef).FirstOrDefault() * fixData.cpc_mm;
t2 = t2 + LogitCoefData.listLogitCoef.Where(w => w.coef_name == "cpc_p:2").Select(s => s.coef).FirstOrDefault() * fixData.cpc_p;
float t3 = LogitCoefData.listLogitCoef.Where(w => w.coef_name == "(Intercept):3").Select(s => s.coef).FirstOrDefault();
t3 = t3 + LogitCoefData.listLogitCoef.Where(w => w.coef_name == "click:3").Select(s => s.coef).FirstOrDefault() * fixData.click;
t3 = t3 + LogitCoefData.listLogitCoef.Where(w => w.coef_name == "roi:3").Select(s => s.coef).FirstOrDefault() * fixData.roi;
t3 = t3 + LogitCoefData.listLogitCoef.Where(w => w.coef_name == "imp_rank1:3").Select(s => s.coef).FirstOrDefault() * fixData.imp_rank1;
t3 = t3 + LogitCoefData.listLogitCoef.Where(w => w.coef_name == "pc_score:3").Select(s => s.coef).FirstOrDefault() * fixData.pc_score;
t3 = t3 + LogitCoefData.listLogitCoef.Where(w => w.coef_name == "ctr_ind:3").Select(s => s.coef).FirstOrDefault() * fixData.ctr_ind;
t3 = t3 + LogitCoefData.listLogitCoef.Where(w => w.coef_name == "cpc_ind:3").Select(s => s.coef).FirstOrDefault() * fixData.cpc_ind;
t3 = t3 + LogitCoefData.listLogitCoef.Where(w => w.coef_name == "d_limt_ind:3").Select(s => s.coef).FirstOrDefault() * fixData.d_limt_ind;
t3 = t3 + LogitCoefData.listLogitCoef.Where(w => w.coef_name == "d_spend_ind:3").Select(s => s.coef).FirstOrDefault() * fixData.d_spend_ind;
t3 = t3 + LogitCoefData.listLogitCoef.Where(w => w.coef_name == "price_limt_ind:3").Select(s => s.coef).FirstOrDefault() * fixData.price_limit_ind;
t3 = t3 + LogitCoefData.listLogitCoef.Where(w => w.coef_name == "cpc_mm:3").Select(s => s.coef).FirstOrDefault() * fixData.cpc_mm;
t3 = t3 + LogitCoefData.listLogitCoef.Where(w => w.coef_name == "cpc_p:3").Select(s => s.coef).FirstOrDefault() * fixData.cpc_p;
float t4 = LogitCoefData.listLogitCoef.Where(w => w.coef_name == "(Intercept):4").Select(s => s.coef).FirstOrDefault();
t4 = t4 + LogitCoefData.listLogitCoef.Where(w => w.coef_name == "click:4").Select(s => s.coef).FirstOrDefault() * fixData.click;
t4 = t4 + LogitCoefData.listLogitCoef.Where(w => w.coef_name == "roi:4").Select(s => s.coef).FirstOrDefault() * fixData.roi;
t4 = t4 + LogitCoefData.listLogitCoef.Where(w => w.coef_name == "imp_rank1:4").Select(s => s.coef).FirstOrDefault() * fixData.imp_rank1;
t4 = t4 + LogitCoefData.listLogitCoef.Where(w => w.coef_name == "pc_score:4").Select(s => s.coef).FirstOrDefault() * fixData.pc_score;
t4 = t4 + LogitCoefData.listLogitCoef.Where(w => w.coef_name == "ctr_ind:4").Select(s => s.coef).FirstOrDefault() * fixData.ctr_ind;
t4 = t4 + LogitCoefData.listLogitCoef.Where(w => w.coef_name == "cpc_ind:4").Select(s => s.coef).FirstOrDefault() * fixData.cpc_ind;
t4 = t4 + LogitCoefData.listLogitCoef.Where(w => w.coef_name == "d_limt_ind:4").Select(s => s.coef).FirstOrDefault() * fixData.d_limt_ind;
t4 = t4 + LogitCoefData.listLogitCoef.Where(w => w.coef_name == "d_spend_ind:4").Select(s => s.coef).FirstOrDefault() * fixData.d_spend_ind;
t4 = t4 + LogitCoefData.listLogitCoef.Where(w => w.coef_name == "price_limt_ind:4").Select(s => s.coef).FirstOrDefault() * fixData.price_limit_ind;
t4 = t4 + LogitCoefData.listLogitCoef.Where(w => w.coef_name == "cpc_mm:4").Select(s => s.coef).FirstOrDefault() * fixData.cpc_mm;
t4 = t4 + LogitCoefData.listLogitCoef.Where(w => w.coef_name == "cpc_p:4").Select(s => s.coef).FirstOrDefault() * fixData.cpc_p;
double prob2 = Math.Exp(t2) / (1 + Math.Exp(t2) + Math.Exp(t3) + Math.Exp(t4));
double prob3 = Math.Exp(t3) / (1 + Math.Exp(t2) + Math.Exp(t3) + Math.Exp(t4));
double prob4 = Math.Exp(t4) / (1 + Math.Exp(t2) + Math.Exp(t3) + Math.Exp(t4));
double prob1 = 1 - prob2 - prob3 - prob4;
double[] maxProb = { prob1, prob2, prob3, prob4 };
var max = maxProb.Max();
var result = Array.IndexOf(maxProb, max);
log.Info("GetLogisticRegression data end :{0}", DateTime.Now);
return result + 1;
}