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

class  PLearn::OneHotSquaredLoss
 Computes sum(square_i(netout[i]-(i==classnum ?hotval :coldval)) This is used typically in a classification setting where netout is a Var of network outputs, and classnum is the target class number. More...
class  PLearn::DiffTemplate< ObjectType, OneHotSquaredLoss >
class  PLearn::TypeTraits< OneHotSquaredLoss >

Namespaces

namespace  PLearn
 

< for swap


Functions

Object * PLearn::toObjectPtr (const OneHotSquaredLoss &o)
PStream & PLearn::operator>> (PStream &in, OneHotSquaredLoss &o)
PStream & PLearn::operator>> (PStream &in, OneHotSquaredLoss *&o)
PStream & PLearn::operator<< (PStream &out, const OneHotSquaredLoss &o)
PStream & PLearn::operator>> (PStream &in, PP< OneHotSquaredLoss > &o)
template<class ObjectType >
int PLearn::diff (const string &refer, const string &other, const Option< ObjectType, OneHotSquaredLoss > *opt, PLearnDiff *diffs)
Var PLearn::onehot_squared_loss (Var network_output, Var classnum, real coldval=0., real hotval=1.)
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