/
classifier.cpp
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/
classifier.cpp
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#include "classifier.h"
#include <map>
//typedef std::map<string, vector<double> > STRING2VECTOR;
typedef std::map<int, vector<pair<int,double> > > INT2VECTOR;
#define LEN 1000 //向量长度
#define M 100 //KNN的中比较前K个
#define TRAINLEN 3903
#define TESTLEN 3117
#define TEST
//double y[LEN],x;
vector<double> tmpX;
vector<pair<int,double> > knn;
int myKNN[8];
int artNum[8];//正确分到类别ci的文本数
int P[8];//表示不属于类别ci却被分到类别ci的文本数
double trainSet[TRAINLEN+2][1000];
double y[LEN];
//map<int,vector<pair<int,double> > > trainSet;
//vector<pair<int,double> > y;
double bayes[1000][8];
string trainBayes = "E:\\final\\final\\myData\\myTFDic.txt";
extern string featureDicPath;
map<string,int> featureDic;
map<string,map<int,int> >bayesDic;
bool cmp(const pair<int,double> & m1, const pair<int,double> & m2)
{
return m1.second > m2.second;
}
/*
516 447 471 492 491 488 500 498
*/
void KNN(string trainFilePath,string testFilePath)
{
//ifstream iFile1("E:\\final\\final\\myData\\VSM.txt");
//ifstream iFile2("E:\\final\\final\\myData\\VSMtest.txt");
//ifstream iFile1("E:\\final\\final\\myData\\VSMMatrix.txt");
//ifstream iFile2("E:\\final\\final\\myData\\VSMtestMatrix.txt");
//ifstream iFile1("E:\\final\\final\\myData\\VSMMatrixOnCross.txt");
//ifstream iFile2("E:\\final\\final\\myData\\VSMtestMatrixOnCross.txt");
ifstream iFile1(trainFilePath.c_str());
ifstream iFile2(testFilePath.c_str());
string trainTerm,testTerm;
map<string,double> result;
double ans,val,r1,r2;
int b = 0;
int cnt = 0;
int i;
int lenth;
int id;
//vector<pair<int,double> >tmp;
memset(trainSet,0,sizeof(trainSet));
while(iFile1>>trainTerm)
{
iFile1>>lenth;
for( i = 0; i < lenth; i++)
{
//iFile1>>trainSet[cnt][i];
iFile1>>id>>val;
//tmp.push_back(make_pair(id,val));
trainSet[cnt][id] = val;
}
//trainSet.insert(INT2VECTOR::value_type(cnt,tmp));
//tmp.clear();
cnt++;
}
cout<<"***"<<endl;
while(iFile2>>testTerm)
{
b++;
memset(myKNN,0,sizeof(myKNN));
iFile2>>lenth;
memset(y,0,sizeof(y));
for(int i = 0; i < lenth; i++)
{
iFile2>>id>>val;
//y.push_back(make_pair(id,val));
y[id] = val;
}
//cout<<testTerm<<endl;
for(int k = 0; k < TRAINLEN; k++)
{
ans = 0;
val = 0;
r1 = 0; r2 = 0;
for(int i = 0; i < LEN; i++)
{
val += trainSet[k][i] * y[i];
r1 += trainSet[k][i] * trainSet[k][i];
r2 += y[i] * y[i];
}
ans = val/(sqrt(r1)*sqrt(r2));
knn.push_back(make_pair(k,ans));
}
/*vector<pair<int,double> >x;
for(int k = 0; k < TRAINLEN; k++)
{
ans = 0,val = 0;
double r = 0, s = 0, t = 0;
x = trainSet[k];
int px = 0,py = 0;
while(px < x.size() && py < y.size())
{
//cout<<"UUUU"<<x[px].first<<y[py].first<<"||"<<px<<py<<x.size()<<y.size()<<endl;
if(x[px].first == y[py].first)
{
r += x[px].second * y[py].second;
s += x[px].second * x[px].second;
t += y[py].second * y[py].second;
px++;
py++;
//cout<<px<<py<<endl;
}
while(x[px].first < y[py].first && px < x.size())
{
s += x[px].second * x[px].second;
px++;
//cout<<px<<endl;
}
while(y[py].first < x[px].first && py < y.size())
{
t += y[py].second * y[py].second;
py++;
//cout<<py<<endl;
}
//sleep(10);
}
while( px < x.size())
{
s += x[px].second * x[px].second;
px++;
//cout<<px<<endl;
}
while(py < y.size())
{
t += y[py].second * y[py].second;
py++;
//cout<<py<<endl;
}
x.clear();
ans = r / (sqrt(s)*sqrt(t));
knn.push_back(make_pair(k,ans));
}*/
//cout<<testTerm<<knn.size()<<endl;
cout<<testTerm<<endl;
stable_sort(knn.begin(),knn.end(),cmp);
//排序之后是：太空 计算机 艺术 环境 农业 经济 体育 历史
for( i = 0; i < M; i++)
{
//cout<<knn[i].first<<knn[i].second<<endl;
int w = knn[i].first;
if(w >= 0 && w < 471)
myKNN[0]++;
else if(w >= 471 && w < 963)
myKNN[1]++;
else if(w >= 963 && w < 1479)
myKNN[2]++;
else if(w >= 1479 && w < 1970)
myKNN[3]++;
else if(w >= 1970 && w < 2458)
myKNN[4]++;
else if(w >= 2458 && w < 2958)
myKNN[5]++;
else if(w >= 2958 && w < 3456)
myKNN[6]++;
else
myKNN[7]++;
}
int flag = 0;
int tmp = 0;
for( i = 0; i < 8; i++)
{
//cout<<myKNN[i]<<" ";
if(myKNN[i] > tmp)
{
tmp = myKNN[i];
flag = i;
}
}
//cout<<endl;
//排序之后是：太空 计算机 艺术 环境 农业 经济 体育 历史
switch(flag)
{
case 0:
if(b >= 0 && b < 362)artNum[0]++;
else P[0]++;
break;
case 1:
if(b >= 362 && b < 753)artNum[1]++;
else P[1]++;
break;
case 2:
if(b >= 753 && b < 1166)artNum[2]++;
else P[2]++;
break;
case 3:
if(b >= 1166 && b < 1568)artNum[3]++;
else P[3]++;
break;
case 4:
if(b >= 1568 && b < 1967)artNum[4]++;
else P[4]++;
break;
case 5:
if(b >= 1967 && b < 2367)artNum[5]++;
else P[5]++;
break;
case 6:
if(b >= 2367 && b < 2768)artNum[6]++;
else P[6]++;
break;
case 7:
if(b >= 2768 && b < 3117)artNum[7]++;
else P[7]++;
break;
}
knn.clear();
}
}
void naiveBayes(string naiveBayesTestVSM)
{
ifstream iFile(trainBayes.c_str()); //TF词典"E:\\final\\final\\myData\\myTFDic.txt";
ifstream featureFile(featureDicPath.c_str());
cout<<featureDicPath<<endl;
double featureVal;
string featureStr;
string words;
int TF;
int cnt;
int flag;
int i,j;
while(featureFile>>featureStr>>featureVal)
featureDic[featureStr]++;
while(iFile>>words)
{
iFile>>flag>>cnt;
for(i = 0; i < cnt; i++)
{
iFile>>flag>>TF;
if(featureDic.count(words))
bayesDic[words][flag] = TF;
}
}
i = j = 0;
cout<<"******"<<bayesDic.size()<<endl;
for(map<string,map<int,int> >::iterator itor = bayesDic.begin(); itor != bayesDic.end();itor++)
{
//cout<<itor->first<<endl;
for(int k = 0; k < 8; k++)
bayes[j][k] = 1.0 / (1000 + bayesDic[itor->first][9]);
for(map<int,int>::iterator it = itor->second.begin(); it != itor->second.end();it++)
{
i = it->first - 1;
if(i == 8) break;
bayes[j][i] = 1.0 * (1 + it->second) / (1000.0 + bayesDic[itor->first][9]);
}
j++;
}
ofstream out("mydata\\bayesOnECE.txt");
for( i = 0; i < 8; i++)
{
for(j = 0 ; j < 1000; j++)
out<<bayes[j][i]<<" ";
out<<endl;
}
double p[8];
int c,pos,v,b;
string kk;
//ifstream in("testBayesOnCross.txt");
ifstream in(naiveBayesTestVSM.c_str());
//ofstream myout("ans.txt");
int result[3117 + 3];
int reCnt = 0;
while(in>>kk)
{
//in>>kk;
in>>c;
for(i = 0; i < 8; i++)p[i] = 0;
for( i = 0; i < c ;i++)
{
in>>pos>>v;
for(j = 0; j < 8; j++)
{
p[j] += v * log(bayes[pos][j]);
//p[j] += v * log(bayes[j][pos]);
}
}
double max = -999999999;
int ans;
for(i = 0; i < 8; i++)
{
//cout<<p[i]<<endl;
if(max < p[i])
{
max = p[i];
ans = i;
}
}
//myout<<ans+1<<endl;
result[reCnt++] = ans;
}
for(i = 0; i < reCnt; i++)
{
int flag = result[i];
b = i;
switch(flag)
{
case 2:
if(b >= 0 && b < 362)artNum[0]++;
else P[0]++;
break;
case 3:
if(b >= 362 && b < 753)artNum[1]++;
else P[1]++;
break;
case 0:
if(b >= 753 && b < 1166)artNum[2]++;
else P[2]++;
break;
case 4:
if(b >= 1166 && b < 1568)artNum[3]++;
else P[3]++;
break;
case 5:
if(b >= 1568 && b < 1967)artNum[4]++;
else P[4]++;
break;
case 6:
if(b >= 1967 && b < 2367)artNum[5]++;
else P[5]++;
break;
case 7:
if(b >= 2367 && b < 2768)artNum[6]++;
else P[6]++;
break;
case 1:
if(b >= 2768 && b < 3117)artNum[7]++;
else P[7]++;
break;
}
//b++;
}
}
void evaluateResult(int artNum[],int P[],int n)
{
int test[8] = {362,391,413,402,399,400,401,349};
//宏平均
double MacroR,MacroP;
double MacroA = 0,MacroB = 0,MacroC = 0;
double MacroF1;
double f1;
for(int i = 0; i < n; i++)
{
MacroA += artNum[i];
MacroB += P[i];
MacroC += test[i] - artNum[i];
f1 = (2*(1.0*artNum[i]/test[i])*(1.0*artNum[i]/(artNum[i]+P[i])))/((1.0*artNum[i]/(artNum[i]+P[i])) + (1.0*artNum[i]/test[i]) );
cout<<"类别"<<i<<"召回："<<artNum[i]<<"正确:"<<P[i]<<"召回率："<<1.0*artNum[i]/test[i]<<"正确率： "<<1.0*artNum[i]/(artNum[i]+P[i])<<"F1："<<f1<<endl;
}
MacroR = 1.0 * MacroA/(MacroA + MacroC);//召回率
MacroP = MacroA/(MacroA + MacroB);//准确率
MacroF1 = (2 * MacroR * MacroP) / (MacroR + MacroP);
cout<<"微平均评估："<<MacroF1<<endl;
}