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src
shogun
evaluation
MulticlassAccuracy.cpp
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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#include <
shogun/evaluation/MulticlassAccuracy.h
>
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#include <
shogun/features/Labels.h
>
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#include <
shogun/mathematics/Math.h
>
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using namespace
shogun;
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float64_t
CMulticlassAccuracy::evaluate
(
CLabels
* predicted,
CLabels
* ground_truth)
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{
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ASSERT
(predicted->
get_num_labels
() == ground_truth->
get_num_labels
());
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int32_t length = predicted->
get_num_labels
();
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float64_t
accuracy = 0.0;
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for
(int32_t i=0; i<length; i++)
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{
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if
(predicted->
get_int_label
(i)==ground_truth->
get_int_label
(i))
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accuracy += 1.0;
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}
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accuracy /= length;
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return
accuracy;
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}
Math.h
MulticlassAccuracy.h
shogun::CMulticlassAccuracy::evaluate
virtual float64_t evaluate(CLabels *predicted, CLabels *ground_truth)
Definition:
MulticlassAccuracy.cpp:17
shogun::CLabels
The class Labels models labels, i.e. class assignments of objects.
Definition:
Labels.h:35
shogun::CLabels::get_num_labels
int32_t get_num_labels()
Definition:
Labels.cpp:240
shogun::CLabels::get_int_label
int32_t get_int_label(int32_t idx)
Definition:
Labels.cpp:230
ASSERT
#define ASSERT(x)
Definition:
SGIO.h:102
float64_t
double float64_t
Definition:
common.h:56
Labels.h
SHOGUN
Machine Learning Toolbox - Documentation