PLearn 0.1
Classes | Namespaces | Functions
GradientAdaboostCostVariable.h File Reference
#include "BinaryVariable.h"
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Classes

class  PLearn::GradientAdaboostCostVariable
 Cost for weak learner in MarginBoost version of AdaBoost Cost for a weak learner used in the functional gradient descent view of boosting on a margin-based loss function. More...
class  PLearn::DiffTemplate< ObjectType, GradientAdaboostCostVariable >
class  PLearn::TypeTraits< GradientAdaboostCostVariable >

Namespaces

namespace  PLearn
 

< for swap


Functions

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