float32_t CStreamingDenseFeatures<T>::dot(CStreamingDotFeatures* df)
{
ASSERT(df);
ASSERT(df->get_feature_type() == get_feature_type());
ASSERT(df->get_feature_class() == get_feature_class());
CStreamingDenseFeatures<T>* sf = (CStreamingDenseFeatures<T>*) df;
SGVector<T> other_vector=sf->get_vector();
float32_t result = CMath::dot(current_vector, other_vector.vector, current_length);
return result;
}
float64_t CHashedSparseFeatures<ST>::dot(int32_t vec_idx1, CDotFeatures* df,
int32_t vec_idx2)
{
ASSERT(df)
ASSERT(df->get_feature_type() == get_feature_type())
ASSERT(df->get_feature_class() == get_feature_class())
ASSERT(strcmp(df->get_name(), get_name())==0)
CHashedSparseFeatures<ST>* feats = (CHashedSparseFeatures<ST>* ) df;
SGSparseVector<ST> vec_1 = get_hashed_feature_vector(vec_idx1);
SGSparseVector<ST> vec_2 = feats->get_hashed_feature_vector(vec_idx2);
float64_t result = vec_1.sparse_dot(vec_2);
return result;
}
template<class ST> CFeatures* CDenseFeatures<ST>::create_merged_copy(
CFeatures* other)
{
SG_DEBUG("entering %s::create_merged_copy()\n", get_name());
if (get_feature_type()!=other->get_feature_type() ||
get_feature_class()!=other->get_feature_class() ||
strcmp(get_name(), other->get_name()))
{
SG_ERROR("%s::create_merged_copy(): Features are of different type!\n",
get_name());
}
CDenseFeatures<ST>* casted=dynamic_cast<CDenseFeatures<ST>* >(other);
if (!casted)
{
SG_ERROR("%s::create_merged_copy(): Could not cast object of %s to "
"same type as %s\n",get_name(), other->get_name(), get_name());
}
if (num_features!=casted->num_features)
{
SG_ERROR("%s::create_merged_copy(): Provided feature object has "
"different dimension than this one\n");
}
/* create new feature matrix and copy both instances data into it */
SGMatrix<ST> data(num_features, num_vectors+casted->get_num_vectors());
/* copy data of this instance */
SG_DEBUG("copying matrix of this instance\n");
memcpy(data.matrix, feature_matrix.matrix,
num_features*num_vectors*sizeof(ST));
/* copy data of provided instance */
SG_DEBUG("copying matrix of provided instance\n");
memcpy(&data.matrix[num_vectors*num_features],
casted->feature_matrix.matrix,
casted->num_features*casted->num_vectors*sizeof(ST));
/* create new instance and return */
CDenseFeatures<ST>* result=new CDenseFeatures<ST>(data);
SG_DEBUG("leaving %s::create_merged_copy()\n", get_name());
return result;
}
template<class ST> float64_t CDenseFeatures<ST>::dot(int32_t vec_idx1, CDotFeatures* df,
int32_t vec_idx2)
{
ASSERT(df);
ASSERT(df->get_feature_type() == get_feature_type());
ASSERT(df->get_feature_class() == get_feature_class());
CDenseFeatures<ST>* sf = (CDenseFeatures<ST>*) df;
int32_t len1, len2;
bool free1, free2;
ST* vec1 = get_feature_vector(vec_idx1, len1, free1);
ST* vec2 = sf->get_feature_vector(vec_idx2, len2, free2);
float64_t result = SGVector<ST>::dot(vec1, vec2, len1);
free_feature_vector(vec1, vec_idx1, free1);
sf->free_feature_vector(vec2, vec_idx2, free2);
return result;
}
