PLearn 0.1
Classes | Namespaces | Functions
Preprocessing.h File Reference
#include <plearn_learners/second_iteration/ComputeDond2Target.h>
#include <plearn_learners/second_iteration/FixDond2BinaryVariables.h>
#include <plearn_learners/second_iteration/DichotomizeDond2DiscreteVariables.h>
#include <plearn_learners/second_iteration/MeanMedianModeImputationVMatrix.h>
#include <plearn_learners/second_iteration/GaussianizeVMatrix.h>
#include <plearn_learners/second_iteration/MissingIndicatorVMatrix.h>
#include <plearn_learners/generic/PLearner.h>
#include <plearn_learners/testers/PTester.h>
#include <plearn/vmat/FileVMatrix.h>
#include <plearn/vmat/MemoryVMatrix.h>
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Classes

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

Namespaces

namespace  PLearn
 

< for swap


Functions

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

Detailed Description

Definition in file Preprocessing.h.

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