PLearn 0.1
Classes | Namespaces | Functions
NeighborhoodConditionalMean.h File Reference
#include <plearn_learners/generic/PLearner.h>
#include <plearn_learners/testers/PTester.h>
#include <plearn/vmat/FileVMatrix.h>
#include <plearn/vmat/MemoryVMatrix.h>
#include <plearn/io/load_and_save.h>
#include <plearn/io/fileutils.h>
#include <plearn/math/random.h>
#include <plearn/vmat/ExplicitSplitter.h>
#include <plearn_learners/nearest_neighbors/BallTreeNearestNeighbors.h>
#include <plearn_learners/second_iteration/CovariancePreservationImputationVMatrix.h>
#include <plearn_learners/second_iteration/NeighborhoodImputationVMatrix.h>
#include <plearn_learners/second_iteration/Experimentation.h>
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Classes

class  PLearn::NeighborhoodConditionalMean
 Generate samples from a mixture of two gaussians. More...
class  PLearn::DiffTemplate< ObjectType, NeighborhoodConditionalMean >
class  PLearn::TypeTraits< NeighborhoodConditionalMean >

Namespaces

namespace  PLearn
 

< for swap


Functions

Object * PLearn::toObjectPtr (const NeighborhoodConditionalMean &o)
PStream & PLearn::operator>> (PStream &in, NeighborhoodConditionalMean &o)
PStream & PLearn::operator>> (PStream &in, NeighborhoodConditionalMean *&o)
PStream & PLearn::operator<< (PStream &out, const NeighborhoodConditionalMean &o)
PStream & PLearn::operator>> (PStream &in, PP< NeighborhoodConditionalMean > &o)
template<class ObjectType >
int PLearn::diff (const string &refer, const string &other, const Option< ObjectType, NeighborhoodConditionalMean > *opt, PLearnDiff *diffs)

Detailed Description

Definition in file NeighborhoodConditionalMean.h.

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