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PLearn 0.1
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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) |
1.7.4