aGrUM
0.20.2
a C++ library for (probabilistic) graphical models
aprioriBDeu_tpl.h
Go to the documentation of this file.
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/**
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*
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* Copyright 2005-2020 Pierre-Henri WUILLEMIN(@LIP6) & Christophe GONZALES(@AMU)
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* info_at_agrum_dot_org
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*
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* This library 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 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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* This library 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 this library. If not, see <http://www.gnu.org/licenses/>.
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*
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*/
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/** @file
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* @brief the internal apriori for the BDeu score (N' / (r_i * q_i)
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*
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* @author Christophe GONZALES(@AMU) and Pierre-Henri WUILLEMIN(@LIP6)
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*/
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#
ifndef
DOXYGEN_SHOULD_SKIP_THIS
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namespace
gum
{
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namespace
learning
{
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/// default constructor
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template
<
template
<
typename
>
class
ALLOC >
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INLINE AprioriBDeu<
ALLOC
>::
AprioriBDeu
(
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const
DatabaseTable
<
ALLOC
>&
database
,
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const
Bijection
<
NodeId
,
std
::
size_t
,
ALLOC
<
std
::
size_t
> >&
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nodeId2columns
,
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const
typename
AprioriBDeu
<
ALLOC
>::
allocator_type
&
alloc
) :
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Apriori
<
ALLOC
>(
database
,
nodeId2columns
,
alloc
) {
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GUM_CONSTRUCTOR
(
AprioriBDeu
);
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}
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/// copy constructor with a given allocator
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template
<
template
<
typename
>
class
ALLOC
>
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INLINE
AprioriBDeu
<
ALLOC
>::
AprioriBDeu
(
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const
AprioriBDeu
<
ALLOC
>&
from
,
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const
typename
AprioriBDeu
<
ALLOC
>::
allocator_type
&
alloc
) :
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Apriori
<
ALLOC
>(
from
,
alloc
) {
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GUM_CONS_CPY
(
AprioriBDeu
);
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}
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/// copy constructor
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template
<
template
<
typename
>
class
ALLOC
>
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INLINE
AprioriBDeu
<
ALLOC
>::
AprioriBDeu
(
const
AprioriBDeu
<
ALLOC
>&
from
) :
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AprioriBDeu
<
ALLOC
>(
from
,
from
.
getAllocator
()) {}
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/// move constructor with a given allocator
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template
<
template
<
typename
>
class
ALLOC
>
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INLINE
AprioriBDeu
<
ALLOC
>::
AprioriBDeu
(
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AprioriBDeu
<
ALLOC
>&&
from
,
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const
typename
AprioriBDeu
<
ALLOC
>::
allocator_type
&
alloc
) :
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Apriori
<
ALLOC
>(
std
::
move
(
from
),
alloc
) {
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GUM_CONS_MOV
(
AprioriBDeu
);
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}
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/// move constructor
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template
<
template
<
typename
>
class
ALLOC
>
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INLINE
AprioriBDeu
<
ALLOC
>::
AprioriBDeu
(
AprioriBDeu
<
ALLOC
>&&
from
) :
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AprioriBDeu
<
ALLOC
>(
std
::
move
(
from
),
from
.
getAllocator
()) {}
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/// virtual copy constructor with a given allocator
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template
<
template
<
typename
>
class
ALLOC
>
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AprioriBDeu
<
ALLOC
>*
AprioriBDeu
<
ALLOC
>::
clone
(
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const
typename
AprioriBDeu
<
ALLOC
>::
allocator_type
&
alloc
)
const
{
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ALLOC
<
AprioriBDeu
<
ALLOC
> >
allocator
(
alloc
);
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AprioriBDeu
<
ALLOC
>*
apriori
=
allocator
.
allocate
(1);
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try
{
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allocator
.
construct
(
apriori
, *
this
,
alloc
);
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}
catch
(...) {
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allocator
.
deallocate
(
apriori
, 1);
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throw
;
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}
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return
apriori
;
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}
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/// virtual copy constructor
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template
<
template
<
typename
>
class
ALLOC
>
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INLINE
AprioriBDeu
<
ALLOC
>*
AprioriBDeu
<
ALLOC
>::
clone
()
const
{
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return
clone
(
this
->
getAllocator
());
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}
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/// destructor
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template
<
template
<
typename
>
class
ALLOC
>
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INLINE
AprioriBDeu
<
ALLOC
>::~
AprioriBDeu
() {
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GUM_DESTRUCTOR
(
AprioriBDeu
);
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}
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/// copy operator
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template
<
template
<
typename
>
class
ALLOC
>
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INLINE
AprioriBDeu
<
ALLOC
>&
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AprioriBDeu
<
ALLOC
>::
operator
=(
const
AprioriBDeu
<
ALLOC
>&
from
) {
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Apriori
<
ALLOC
>::
operator
=(
from
);
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return
*
this
;
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}
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/// move operator
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template
<
template
<
typename
>
class
ALLOC
>
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INLINE
AprioriBDeu
<
ALLOC
>&
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AprioriBDeu
<
ALLOC
>::
operator
=(
AprioriBDeu
<
ALLOC
>&&
from
) {
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Apriori
<
ALLOC
>::
operator
=(
std
::
move
(
from
));
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return
*
this
;
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}
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/// sets the effective sample size N' (alias of setEffectiveSampleSize ())
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template
<
template
<
typename
>
class
ALLOC
>
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INLINE
void
AprioriBDeu
<
ALLOC
>::
setWeight
(
const
double
weight
) {
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if
(
weight
< 0.0) {
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GUM_ERROR
(
OutOfBounds
,
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"A negative weight ("
<<
weight
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<<
") is forbidden for the BDeu apriori"
);
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}
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this
->
weight_
=
weight
;
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}
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/// sets the effective sample size N'
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template
<
template
<
typename
>
class
ALLOC
>
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INLINE
void
AprioriBDeu
<
ALLOC
>::
setEffectiveSampleSize
(
const
double
weight
) {
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setWeight
(
weight
);
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}
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/// indicates whether an apriori is of a certain type
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template
<
template
<
typename
>
class
ALLOC
>
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INLINE
bool
AprioriBDeu
<
ALLOC
>::
isOfType
(
const
std
::
string
&
type
) {
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return
AprioriBDeuType
::
isOfType
(
type
);
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}
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/// returns the type of the apriori
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template
<
template
<
typename
>
class
ALLOC
>
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INLINE
const
std
::
string
&
AprioriBDeu
<
ALLOC
>::
getType
()
const
{
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return
AprioriBDeuType
::
type
;
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}
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/// indicates whether the apriori is potentially informative
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template
<
template
<
typename
>
class
ALLOC
>
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INLINE
bool
AprioriBDeu
<
ALLOC
>::
isInformative
()
const
{
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return
this
->
weight_
!= 0.0;
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}
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/// returns the apriori vector all the variables in the idset
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template
<
template
<
typename
>
class
ALLOC
>
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INLINE
void
AprioriBDeu
<
ALLOC
>::
addAllApriori
(
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const
IdCondSet
<
ALLOC
>&
idset
,
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std
::
vector
<
double
,
ALLOC
<
double
> >&
counts
) {
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// if the idset is empty or the weight is zero, the apriori is also empty
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if
(
idset
.
empty
() || (
this
->
weight_
== 0.0))
return
;
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// otherwise, add the weight to all the cells in the counting vector
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const
double
weight
=
this
->
weight_
/
counts
.
size
();
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for
(
auto
&
count
:
counts
)
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count
+=
weight
;
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}
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/// returns the apriori vector over only the conditioning set of an idset
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template
<
template
<
typename
>
class
ALLOC
>
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void
AprioriBDeu
<
ALLOC
>::
addConditioningApriori
(
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const
IdCondSet
<
ALLOC
>&
idset
,
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std
::
vector
<
double
,
ALLOC
<
double
> >&
counts
) {
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// if the conditioning set is empty or the weight is equal to zero,
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// the apriori is also empty
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if
((
idset
.
size
() ==
idset
.
nbLHSIds
()) || (
this
->
weight_
== 0.0)
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|| (
idset
.
nbLHSIds
() ==
std
::
size_t
(0)))
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return
;
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// add the weight to the counting vector
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const
double
weight
=
this
->
weight_
/
counts
.
size
();
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for
(
auto
&
count
:
counts
)
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count
+=
weight
;
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}
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}
/* namespace learning */
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}
/* namespace gum */
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#
endif
/* DOXYGEN_SHOULD_SKIP_THIS */
gum::Set::emplace
INLINE void emplace(Args &&... args)
Definition:
set_tpl.h:669
gum::learning::genericBNLearner::Database::Database
Database(const std::string &filename, const BayesNet< GUM_SCALAR > &bn, const std::vector< std::string > &missing_symbols)
Definition:
genericBNLearner_tpl.h:31