PLearn 0.1
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#include "BinaryVariable.h"
Go to the source code of this file.
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) |