31     int32_t size, int32_t num_cells2,
 
   33         int32_t width_computation_type2,
 
   35 : 
CDotKernel(size), num_cells(num_cells2),weights(NULL),
 
   36 width_computation_type(width_computation_type2), width(width2),
 
   37      num_randfeats_forwidthcomputation(-1)
 
   40         SG_ERROR(
"CPyramidChi2 Constructor fatal error: parameter num_cells2 NOT positive")
 
   42     if(weights_foreach_cell2)
 
   45             weights[i]=weights_foreach_cell2[i];
 
   78     CDotKernel::init(l, r);
 
   84         int32_t size, int32_t num_cells2,
 
   86         int32_t width_computation_type2,
 
   88 : 
CDotKernel(size), num_cells(num_cells2), weights(NULL),
 
   89 width_computation_type(width_computation_type2), width(width2),
 
   90       num_randfeats_forwidthcomputation(-1)
 
   93         SG_ERROR(
"CPyramidChi2 Constructor fatal error: parameter num_cells2 NOT positive")
 
   95     if(weights_foreach_cell2)
 
   98             weights[i]=weights_foreach_cell2[i];
 
  125         SG_ERROR(
"CPyramidChi2::compute(...) fatal error: parameter num_cells NOT positive")
 
  135         SG_ERROR(
"CPyramidChi2::compute(...) fatal error: lhs feature dim != rhs feature dim")
 
  160                 for(int32_t i=0; i< numind;++i)
 
  165                 for(int32_t i=0; i< numind;++i)
 
  173             for (int32_t li=0; li < numind;++li)
 
  177                 for (int32_t ri=0; ri <=li;++ri)
 
  184                     for (int32_t histoind=0; histoind<
num_cells; ++histoind)
 
  188                         for (int32_t i=0; i< dims; ++i)
 
  190                             int32_t index= histoind*dims+i;
 
  191                             if(avec[index] + bvec[index]>0)
 
  193                                 result+= curweight*(avec[index] - bvec[index])*(avec[index]
 
  194                                     - bvec[index])/(avec[index] + bvec[index]);
 
  198                     width+=result*2.0/((double)numind)/(numind+1.0);
 
  202             SG_FREE(featindices);
 
  206             SG_ERROR(
"CPyramidChi2::compute(...) fatal error: width<=0")
 
  218     for (int32_t histoind=0; histoind<
num_cells; ++histoind)
 
  222         for (int32_t i=0; i< dims; ++i)
 
  224             int32_t index= histoind*dims+i;
 
  225             if(avec[index] + bvec[index]>0)
 
  227                 result+= curweight*(avec[index] - bvec[index])*(avec[index]
 
  228                     - bvec[index])/(avec[index] + bvec[index]);
 
  243         int32_t width_computation_type2,
 
  252         SG_ERROR(
"CPyramidChi2::setparams_pychi2(...) fatal error: parameter num_cells2 NOT positive")
 
  256     if(weights_foreach_cell2)
 
  259             weights[i]=weights_foreach_cell2[i];
 
virtual float64_t compute(int32_t idx_a, int32_t idx_b)
virtual bool init(CFeatures *l, CFeatures *r)
Template class DotKernel is the base class for kernels working on DotFeatures. 
int32_t width_computation_type
virtual bool init_normalizer()
CFeatures * rhs
feature vectors to occur on right hand side 
all of classes and functions are contained in the shogun namespace 
int32_t num_randfeats_forwidthcomputation
CFeatures * lhs
feature vectors to occur on left hand side 
The class Features is the base class of all feature objects. 
static float64_t exp(float64_t x)
static float64_t round(float64_t d)
virtual void setparams_pychi2(int32_t num_cells2, float64_t *weights_foreach_cell2, int32_t width_computation_type2, float64_t width2)