PLearn 0.1
Classes | Namespaces | Functions
regressors/GaussianProcessRegressor.h File Reference
#include <plearn/ker/Kernel.h>
#include <plearn_learners/generic/PLearner.h>
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Classes

class  PLearn::GaussianProcessRegressor
 Implements Gaussian Process Regression (GPR) with an arbitrary kernel. More...
class  PLearn::DiffTemplate< ObjectType, GaussianProcessRegressor >
class  PLearn::TypeTraits< GaussianProcessRegressor >

Namespaces

namespace  PLearn
 

< for swap


Functions

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

Detailed Description

Definition in file regressors/GaussianProcessRegressor.h.

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