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src
shogun
evaluation
MeanSquaredLogError.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) 2012 Heiko Strathmann
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* Copyright (C) 2012 Berlin Institute of Technology and Max-Planck-Society
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*/
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#include <
shogun/evaluation/MeanSquaredLogError.h
>
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#include <
shogun/labels/Labels.h
>
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#include <
shogun/labels/RegressionLabels.h
>
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#include <
shogun/mathematics/Math.h
>
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using namespace
shogun;
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float64_t
CMeanSquaredLogError::evaluate
(
CLabels
* predicted,
CLabels
* ground_truth)
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{
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ASSERT
(predicted && ground_truth);
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ASSERT
(predicted->
get_num_labels
()==ground_truth->
get_num_labels
());
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ASSERT
(predicted->
get_label_type
()==
LT_REGRESSION
);
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ASSERT
(ground_truth->
get_label_type
()==
LT_REGRESSION
);
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int32_t length=predicted->
get_num_labels
();
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float64_t
msle=0.0;
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for
(int32_t i=0; i<length; i++)
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{
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float64_t
prediction=((
CRegressionLabels
*) predicted)->get_label(i);
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float64_t
truth=((
CRegressionLabels
*) ground_truth)->get_label(i);
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if
(prediction<=-1.0 || truth<=-1.0)
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{
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SG_WARNING
(
"Negative label[%d] in %s is not allowed, ignoring!\n"
,
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i,
get_name
());
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continue
;
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}
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float64_t
a=
CMath::log
(prediction+1);
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float64_t
b=
CMath::log
(truth+1);
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msle+=
CMath::sq
(a-b);
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}
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msle /= length;
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return
CMath::sqrt
(msle);
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}
SHOGUN
Machine Learning Toolbox - Documentation