/usr/include/shogun/evaluation/GradientEvaluation.h is in libshogun-dev 3.2.0-7.3build4.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 | /*
* This program is free software; you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation; either version 3 of the License, or
* (at your option) any later version.
*
* Written (W) 2013 Roman Votyakov
* Copyright (C) 2012 Jacob Walker
*/
#ifndef CGRADIENTEVALUATION_H_
#define CGRADIENTEVALUATION_H_
#include <shogun/evaluation/MachineEvaluation.h>
#include <shogun/evaluation/DifferentiableFunction.h>
#include <shogun/evaluation/EvaluationResult.h>
namespace shogun
{
/** @brief Class evaluates a machine using its associated differentiable
* function for the function value and its gradient with respect to parameters.
*/
class CGradientEvaluation: public CMachineEvaluation
{
public:
/** default constructor */
CGradientEvaluation();
/** constructor
*
* @param machine learning machine to use
* @param features features to use for cross-validation
* @param labels labels that correspond to the features
* @param evaluation_criterion evaluation criterion to use
* @param autolock whether machine should be auto-locked before evaluation
*/
CGradientEvaluation(CMachine* machine, CFeatures* features, CLabels* labels,
CEvaluation* evaluation_criterion, bool autolock=true);
virtual ~CGradientEvaluation();
/** returns the name of the machine evaluation
*
* @return name GradientEvaluation
*/
virtual const char* get_name() const { return "GradientEvaluation"; }
/** evaluates differentiable function for value and derivative.
*
* @return GradientResult containing value and gradient
*/
virtual CEvaluationResult* evaluate();
/** set differentiable function
*
* @param diff differentiable function
*/
inline void set_function(CDifferentiableFunction* diff)
{
SG_REF(diff);
SG_UNREF(m_diff);
m_diff=diff;
}
/** get differentiable function
*
* @return differentiable function
*/
inline CDifferentiableFunction* get_function()
{
SG_REF(m_diff);
return m_diff;
}
private:
/** initialses and registers parameters */
void init();
/** updates parameter dictionary of differentiable function */
void update_parameter_dictionary();
private:
/** differentiable function */
CDifferentiableFunction* m_diff;
/** parameter dictionary of differentiable function */
CMap<TParameter*, CSGObject*>* m_parameter_dictionary;
};
}
#endif /* CGRADIENTEVALUATION_H_ */
|