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PLearn 0.1
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#include <cstdarg>#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/nearest_neighbors/ExhaustiveNearestNeighbors.h>#include <plearn_learners/cgi/CovariancePreservationImputationVMatrix.h>#include <plearn_learners/cgi/NeighborhoodImputationVMatrix.h>#include <plearn_learners/cgi/WeightedDistance.h>

Go to the source code of this file.
Classes | |
| class | PLearn::TestImputations |
| Generate samples from a mixture of two gaussians. More... | |
| class | PLearn::DiffTemplate< ObjectType, TestImputations > |
| class | PLearn::TypeTraits< TestImputations > |
Namespaces | |
| namespace | PLearn |
< for swap | |
Functions | |
| Object * | PLearn::toObjectPtr (const TestImputations &o) |
| PStream & | PLearn::operator>> (PStream &in, TestImputations &o) |
| PStream & | PLearn::operator>> (PStream &in, TestImputations *&o) |
| PStream & | PLearn::operator<< (PStream &out, const TestImputations &o) |
| PStream & | PLearn::operator>> (PStream &in, PP< TestImputations > &o) |
| template<class ObjectType > | |
| int | PLearn::diff (const string &refer, const string &other, const Option< ObjectType, TestImputations > *opt, PLearnDiff *diffs) |
Definition in file TestImputations.h.
1.7.4