PLearn 0.1
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#include <plearn_learners/distributions/UnconditionalDistribution.h>
#include <plearn_learners/nearest_neighbors/GenericNearestNeighbors.h>
Go to the source code of this file.
Classes | |
class | PLearn::ManifoldKNNDistribution |
K nearest neighbors density estimator that takes into accound the local manifold structure. More... | |
class | PLearn::DiffTemplate< ObjectType, ManifoldKNNDistribution > |
class | PLearn::TypeTraits< ManifoldKNNDistribution > |
Namespaces | |
namespace | PLearn |
< for swap | |
Functions | |
Object * | PLearn::toObjectPtr (const ManifoldKNNDistribution &o) |
PStream & | PLearn::operator>> (PStream &in, ManifoldKNNDistribution &o) |
PStream & | PLearn::operator>> (PStream &in, ManifoldKNNDistribution *&o) |
PStream & | PLearn::operator<< (PStream &out, const ManifoldKNNDistribution &o) |
PStream & | PLearn::operator>> (PStream &in, PP< ManifoldKNNDistribution > &o) |
template<class ObjectType > | |
int | PLearn::diff (const string &refer, const string &other, const Option< ObjectType, ManifoldKNNDistribution > *opt, PLearnDiff *diffs) |
Definition in file ManifoldKNNDistribution.h.