本文整理汇总了C++中TheMatrix::Dot方法的典型用法代码示例。如果您正苦于以下问题：C++ TheMatrix::Dot方法的具体用法？C++ TheMatrix::Dot怎么用？C++ TheMatrix::Dot使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类TheMatrix的用法示例。
在下文中一共展示了TheMatrix::Dot方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的C++代码示例。
示例1: ComputeLoss
/** Flag = 0: marginloss, no label loss. The label loss will always be zero
1: marginloss, and label loss.
*/
void CSMMMulticlassLoss::ComputeLoss(vector<unsigned int> y, vector<unsigned int> ylabel, vector<unsigned int> ybar, vector<unsigned int> ybarlabel, const CSeqMulticlassFeature::seqfeature_struct &x, const TheMatrix &w, double & marginloss, double & labelloss, int flag)
{
unsigned int i;
double w_dot_phi1 = 0;
double w_dot_phi2 = 0;
marginloss = 0;
unsigned int start;
if(is_first_phi1_used)
start = 0;
else
start = 1;
for(i=start; i < ybar.size(); i++)
{
_data->TensorPhi1(x.phi_1[ybar[i]],ybarlabel[i],0,tphi_1);
//tphi_1->Print();
w.Dot(*(tphi_1), w_dot_phi1);
marginloss += w_dot_phi1;
//printf("%d(%d):%2.4f\t",ybar[i],ybarlabel[i],marginloss);
}
for(i=1;i<ybar.size();i++)
{
int vb = 0;
_data->TensorPhi2(x.phi_2[ybar[i-1]][ybar[i]-ybar[i-1]-1], ybarlabel[i-1], ybarlabel[i], 0,vb,tphi_2);
w.Dot(*(tphi_2), w_dot_phi2);
marginloss += w_dot_phi2;
}
if(ybar.size() > 0)
{
//grad.Add(*(X[i].phi_2[ybar[ybar.size()-1]][X[i].len-1 - ybar[ybar.size()-1]-1]));////
_data->TensorPhi2(x.phi_2[ybar[ybar.size()-1]][x.len - ybar[ybar.size()-1]-1 ], ybarlabel[ybar.size()-1], 0, 0,0,tphi_2);
w.Dot(*(tphi_2), w_dot_phi2);
marginloss += w_dot_phi2;
}
//vector <unsigned int> yss = Boundry2StatSequence(y,ylabel,x.len);
//vector <unsigned int> ybarss = Boundry2StatSequence(ybar,ybarlabel,x.len);
//labelloss = Labelloss(yss,ybarss);
labelloss = AllDelta(ybar,y,ybarlabel,ylabel,x.len);
}示例2: find_best_label_grammer
/** find best label (without label loss): g(w) := max_y' <w,\phi(x,y')>
*
* @param x [read] sequence
* @param w [read] weight vector
* @param ybar [write] found best label
* @param marginloss [write] margin loss <w,\Phi(x,y')> w.r.t to best y'
*/
void CSMMMulticlassLoss::find_best_label_grammer(const CSeqMulticlassFeature::seqfeature_struct &x, const TheMatrix &w, vector<unsigned int> &ybar, vector<unsigned int> &ybarlabel, double &marginloss, unsigned int personid, unsigned int classNum)
{
using namespace std;
// reset return values
marginloss = 0;
ybar.clear();
ybarlabel.clear();
/** The margin value vector used in dynamic programming
*/
vector< vector<double> > M (x.len+1,vector<double> (classNum,0));
/** The back pointers vector used in dynamic programming to retrieve the optimal path
*/
// The positions
vector< vector<int> > A (x.len+1,vector<int> (classNum,-1));
// The class labels
vector< vector<int> > C (x.len+1,vector<int> (classNum,0));
double maxval = -SML::INFTY;
double w_dot_phi1 = 0;
double w_dot_phi2 = 0;
double marginval = 0;
unsigned int right = 0;
unsigned int left = 0;
unsigned int start = 0;
unsigned int end = 0;
unsigned int classID = 0;
unsigned int classIDPrev = 0;
double sum = 0;
// compute DP statistics for positions 1 to len-1
for(classID=0;classID<classNum;classID++)
{
A[1][classID] = 0;
//C[1][classID] = 0;
}
if(is_first_phi1_used)
{
right =0;
for(classID=0;classID<classNum;classID++)
{
maxval = -SML::INFTY;
w_dot_phi1 = 0.0;
_data->TensorPhi1(x.phi_1[right],classID,0,tphi_1);
//tphi_1->Print();
w.Dot(*(tphi_1), w_dot_phi1);
marginval = w_dot_phi1;
sum = marginval;
if(sum > maxval)
{
M[right][classID] = marginval;
maxval = sum;
}
}
}
for(right=1; right < x.len+1; right++)
{
for(classID=0;classID<classNum;classID++)
{
// \Phi = (phi1, phi2[left,right])
// <w, \Phi> = <w,phi1> + <w,phi[left,right]>
maxval = -SML::INFTY;
w_dot_phi1 = 0.0;
if(right<x.len)
{
_data->TensorPhi1(x.phi_1[right],classID,0,tphi_1);
w.Dot(*(tphi_1), w_dot_phi1);
}
start = max(0,int(right-maxDuration));
//end = right;//-minDuration+1;
if(lastDuration>0)
{
unsigned int lastpos = x.len-lastDuration+1 ;
end = MIN(right,lastpos);
}
else
end = right;
for(left=start; left < end; left++)
{
classIDPrev = classID;
int vb = 0;
_data->TensorPhi2(x.phi_2[left][right-left-1], classIDPrev, classID, 0,vb,tphi_2);
w.Dot(*(tphi_2), w_dot_phi2);
marginval = w_dot_phi1 + w_dot_phi2;
sum = M[left][classIDPrev]+marginval;
if(sum > maxval)
//.........这里部分代码省略.........