/usr/include/torch/QCMachine.h is in libtorch3-dev 3.1-2.2.
This file is owned by root:root, with mode 0o644.
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//
// This file is part of Torch 3.1.
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#ifndef QC_MACHINE_INC
#define QC_MACHINE_INC
#include "Machine.h"
#include "QCCache.h"
namespace Torch {
/** "Quadratic Constrained Machine".
It's a machine with #alpha# parameters which
are the minimum of a constrained quadratic problem.
The problem:
minimize $QP(alpha) = alpha' * Q * alpha + beta'*alpha$
with the following constraints:
\begin{itemize}
\item $\sum_j alpha_j y_j = 1$
\item $Cdown_j <= alpha_j <= Cup_j$
\end{itemize}
where $y$, $Cdown$, $Cup$ are given by the user
and \emph{must be} $y_j = +- 1$.
The number of #alpha# variable is determined here by #l#.
(Therefore, it determines the size of de Cup, Cdown et y...)
Note: if $alpha_j$ is closed to $Cup_j$ [ou $Cdown_j$] with
the accuracy "eps bounds", $alpha_j$ is considered
to be equal to $Cup_j$ [ou $Cdown_j$].
Options:
\begin{tabular}{lcll}
"eps bounds" & real & bound accuracy: & [1E-4 in float, 1E-12 in double]
\end{tabular}
@author Ronan Collobert (collober@idiap.ch)
*/
class QCMachine : public Machine
{
public:
///
real *Cup;
///
real *Cdown;
///
real bound_eps;
///
int n_alpha;
///
real *alpha;
///
real *grad;
///
real *y;
///
QCCache *cache;
//-----
///
QCMachine();
/** Function called by #QCTrainer# after the optimization.
@see QCTrainer
*/
virtual void checkSupportVectors() = 0;
void reInit(int n_alpha_);
//-----
virtual ~QCMachine();
};
}
#endif
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