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src
shogun
statistics
IndependenceTest.cpp
Go to the documentation of this file.
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/*
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* Copyright (c) The Shogun Machine Learning Toolbox
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* Written (w) 2012-2013 Heiko Strathmann
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* Written (w) 2014 Soumyajit De
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* All rights reserved.
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*
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* Redistribution and use in source and binary forms, with or without
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* modification, are permitted provided that the following conditions are met:
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*
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* 1. Redistributions of source code must retain the above copyright notice, this
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* list of conditions and the following disclaimer.
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* 2. Redistributions in binary form must reproduce the above copyright notice,
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* this list of conditions and the following disclaimer in the documentation
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* and/or other materials provided with the distribution.
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*
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* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
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* ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
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* WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
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* DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
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* ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
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* (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
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* LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
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* ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
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* SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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*
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* The views and conclusions contained in the software and documentation are those
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* of the authors and should not be interpreted as representing official policies,
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* either expressed or implied, of the Shogun Development Team.
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*/
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#include <
shogun/statistics/IndependenceTest.h
>
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#include <
shogun/features/Features.h
>
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using namespace
shogun;
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CIndependenceTest::CIndependenceTest
() :
CHypothesisTest
()
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{
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init();
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}
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CIndependenceTest::CIndependenceTest
(
CFeatures
* p,
CFeatures
* q)
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:
CHypothesisTest
()
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{
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init();
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SG_REF
(p);
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SG_REF
(q);
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m_p
=p;
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m_q
=q;
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}
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CIndependenceTest::~CIndependenceTest
()
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{
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SG_UNREF
(
m_p
);
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SG_UNREF
(
m_q
);
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}
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void
CIndependenceTest::init()
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{
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SG_ADD
((
CSGObject
**)&
m_p
,
"p"
,
"Samples from p"
,
MS_NOT_AVAILABLE
);
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SG_ADD
((
CSGObject
**)&
m_q
,
"q"
,
"Samples from q"
,
MS_NOT_AVAILABLE
);
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m_p
=NULL;
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m_q
=NULL;
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}
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SGVector<float64_t>
CIndependenceTest::sample_null
()
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{
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SG_DEBUG
(
"entering!\n"
)
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REQUIRE
(
m_p
,
"No features p!\n"
);
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REQUIRE
(
m_q
,
"No features q!\n"
);
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/* compute sample statistics for null distribution */
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SGVector<float64_t>
results(
m_num_null_samples
);
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/* memory for index permutations. Adding of subset has to happen
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* inside the loop since it may be copied if there already is one set.
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*
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* subset for selecting samples from p. In this case we want to
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* shuffle only samples from p while keeping samples from q fixed */
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SGVector<index_t>
ind_permutation(
m_p
->
get_num_vectors
());
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ind_permutation.
range_fill
();
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for
(
index_t
i=0; i<
m_num_null_samples
; ++i)
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{
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/* idea: shuffle samples from p while keeping samples from q fixed
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* and compute statistic. This is done using subsets here */
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/* create index permutation and add as subset to features from p */
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SGVector<index_t>::permute_vector
(ind_permutation);
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/* compute statistic for this permutation of mixed samples */
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m_p
->
add_subset
(ind_permutation);
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results[i]=
compute_statistic
();
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m_p
->
remove_subset
();
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}
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SG_DEBUG
(
"leaving!\n"
)
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return
results;
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}
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void
CIndependenceTest::set_p
(
CFeatures
* p)
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{
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/* ref before unref to avoid problems when instances are equal */
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SG_REF
(p);
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SG_UNREF
(
m_p
);
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m_p
=p;
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}
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void
CIndependenceTest::set_q
(
CFeatures
* q)
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{
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/* ref before unref to avoid problems when instances are equal */
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SG_REF
(q);
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SG_UNREF
(
m_q
);
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m_q
=q;
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}
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CFeatures
*
CIndependenceTest::get_p
()
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{
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SG_REF
(
m_p
);
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return
m_p
;
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}
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CFeatures
*
CIndependenceTest::get_q
()
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{
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SG_REF
(
m_q
);
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return
m_q
;
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}
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