Shark machine learning library
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examples
Statistics
Statistics.cpp
Go to the documentation of this file.
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/*!
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*
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*
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* \brief Illustrates usage of the statistics component.
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*
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*
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*
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* \author T.Voss
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* \date 2010
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*
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*
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* \par Copyright 1995-2017 Shark Development Team
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*
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* <BR><HR>
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* This file is part of Shark.
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* <http://shark-ml.org/>
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*
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* Shark is free software: you can redistribute it and/or modify
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* it under the terms of the GNU Lesser General Public License as published
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* by 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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* Shark is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU Lesser General Public License for more details.
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*
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* You should have received a copy of the GNU Lesser General Public License
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* along with Shark. If not, see <http://www.gnu.org/licenses/>.
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*
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*/
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#include <
shark/Statistics/Statistics.h
>
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#include <
shark/Core/Random.h
>
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using namespace
shark
;
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int
main
(
int
argc,
char
** argv)
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{
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statistics::ResultTable<double>
table(2,
"VarianceOfGaussian"
);
//set a name for the results
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table.
setDimensionName
(0,
"input1"
);
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table.
setDimensionName
(1,
"input2"
);
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// Fill the table with randomly generated numbers for different variances and mean and also add missing values
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for
(std::size_t k = 1; k != 10; ++k){
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double
var= 10.0*k;
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for
(std::size_t i = 0; i < 10000; i++){
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double
value1=
random::gauss
(
random::globalRng
, 0,var);
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double
value2=
random::gauss
(
random::globalRng
, 0,var);
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if
(
random::coinToss
(
random::globalRng
) == 1)
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value2=
statistics::missingValue
();
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table.
update
(var,value1,value2 );
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}
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}
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statistics::Statistics<double>
stats(&table);
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stats.
addStatistic
(
statistics::Mean
());
//adds a statistic "Mean" for each variable
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stats.
addStatistic
(
"Variance"
,
statistics::Variance
());
//explicit name
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stats.
addStatistic
(
"Missing"
,
statistics::FractionMissing
());
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printCSV
(stats);
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}