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src
shogun
evaluation
MulticlassAccuracy.h
Go to the documentation of this file.
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/*
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* This program is free software; you can redistribute it and/or modify
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* it under the terms of the GNU General Public License as published by
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* the Free Software Foundation; either version 3 of the License, or
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* (at your option) any later version.
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*
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* Written (W) 2011 Sergey Lisitsyn
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* Copyright (C) 2011 Berlin Institute of Technology and Max-Planck-Society
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*/
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#ifndef MULTICLASSACCURACY_H_
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#define MULTICLASSACCURACY_H_
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#include <
shogun/evaluation/Evaluation.h
>
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#include <
shogun/labels/Labels.h
>
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namespace
shogun
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{
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class
CLabels;
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class
CMulticlassAccuracy
:
public
CEvaluation
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{
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public
:
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CMulticlassAccuracy
() :
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CEvaluation
(),
m_ignore_rejects
(false),
m_rejects_num
(0) {};
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CMulticlassAccuracy
(
bool
ignore_rejects) :
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CEvaluation
(),
m_ignore_rejects
(ignore_rejects),
m_rejects_num
(0) {};
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virtual
~CMulticlassAccuracy
() {};
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virtual
float64_t
evaluate
(
CLabels
* predicted,
CLabels
* ground_truth);
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static
SGMatrix<int32_t>
get_confusion_matrix
(
CLabels
* predicted,
CLabels
* ground_truth);
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inline
EEvaluationDirection
get_evaluation_direction
()
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{
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return
ED_MAXIMIZE
;
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}
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int32_t
get_rejects_num
()
const
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{
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return
m_rejects_num
;
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}
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virtual
inline
const
char
*
get_name
()
const
{
return
"MulticlassAccuracy"
; }
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protected
:
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bool
m_ignore_rejects
;
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int32_t
m_rejects_num
;
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};
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}
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#endif
/* MULTICLASSACCURACY_H_ */
SHOGUN
Machine Learning Toolbox - Documentation