PLearn 0.1
|
Go to the source code of this file.
Classes | |
class | PLearn::DistanceKernel |
This class implements an Ln distance (defaults to L2 i.e. euclidean distance). More... | |
class | PLearn::DiffTemplate< ObjectType, DistanceKernel > |
class | PLearn::TypeTraits< DistanceKernel > |
Namespaces | |
namespace | PLearn |
< for swap | |
Functions | |
Object * | PLearn::toObjectPtr (const DistanceKernel &o) |
PStream & | PLearn::operator>> (PStream &in, DistanceKernel &o) |
PStream & | PLearn::operator>> (PStream &in, DistanceKernel *&o) |
PStream & | PLearn::operator<< (PStream &out, const DistanceKernel &o) |
PStream & | PLearn::operator>> (PStream &in, PP< DistanceKernel > &o) |
template<class ObjectType > | |
int | PLearn::diff (const string &refer, const string &other, const Option< ObjectType, DistanceKernel > *opt, PLearnDiff *diffs) |
CostFunc | PLearn::absolute_deviation (int singleoutputindex) |