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