/usr/include/shogun/evaluation/MulticlassAccuracy.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 | /*
* 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) 2011 Sergey Lisitsyn
* Copyright (C) 2011 Berlin Institute of Technology and Max-Planck-Society
*/
#ifndef MULTICLASSACCURACY_H_
#define MULTICLASSACCURACY_H_
#include <shogun/evaluation/Evaluation.h>
#include <shogun/labels/Labels.h>
namespace shogun
{
class CLabels;
/** @brief The class MulticlassAccuracy
* used to compute accuracy of multiclass classification.
*
* Formally, for multiclass labels \f$L,R, |L|=|R|\f$ multiclass
* accuracy is estimated as
*
* \f[
* \frac{\sum_{i=1}^{|L|} [L_i=R_i]}{|L|}
* \f]
*
*
*/
class CMulticlassAccuracy: public CEvaluation
{
public:
/** constructor */
CMulticlassAccuracy() :
CEvaluation(), m_ignore_rejects(false), m_rejects_num(0) {};
/** constructor */
CMulticlassAccuracy(bool ignore_rejects) :
CEvaluation(), m_ignore_rejects(ignore_rejects), m_rejects_num(0) {};
/** destructor */
virtual ~CMulticlassAccuracy() {};
/** evaluate accuracy
* @param predicted labels to be evaluated
* @param ground_truth labels assumed to be correct
* @return accuracy
*/
virtual float64_t evaluate(CLabels* predicted, CLabels* ground_truth);
/** constructs confusion matrix for multiclass classification
* @param predicted labels to be evaluated
* @param ground_truth labels assumed to be correct
* @return confusion matrix
*/
static SGMatrix<int32_t> get_confusion_matrix(CLabels* predicted, CLabels* ground_truth);
inline EEvaluationDirection get_evaluation_direction() const
{
return ED_MAXIMIZE;
}
/** get rejects num */
int32_t get_rejects_num() const
{
return m_rejects_num;
}
/** get name */
virtual const char* get_name() const { return "MulticlassAccuracy"; }
protected:
/** ignore rejects */
bool m_ignore_rejects;
/** rejects num */
int32_t m_rejects_num;
};
}
#endif /* MULTICLASSACCURACY_H_ */
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