aGrUM 3.0.0
a C++ library for (probabilistic) graphical models
gum::learning::CachedContingencyCounter Class Reference

Common counting infrastructure shared by IndependenceTest and KNML. More...

#include <agrum/base/stattests/cachedContingencyCounter.h>

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Public Member Functions

Constructors / Destructors
 CachedContingencyCounter (const DBRowGeneratorParser &parser, const Prior &prior, const std::vector< std::pair< std::size_t, std::size_t > > &ranges, const Bijection< NodeId, std::size_t > &nodeId2columns=Bijection< NodeId, std::size_t >())
 default constructor
 CachedContingencyCounter (const DBRowGeneratorParser &parser, const Prior &prior, const Bijection< NodeId, std::size_t > &nodeId2columns=Bijection< NodeId, std::size_t >())
 default constructor (no ranges)
virtual ~CachedContingencyCounter ()
 destructor
Accessors / Modifiers
void setNumberOfThreads (Size nb) override
 sets the number max of threads that can be used
Size getNumberOfThreads () const override
 returns the current max number of threads of the scheduler
bool isGumNumberOfThreadsOverriden () const override
 indicates whether the user set herself the number of threads
virtual void setMinNbRowsPerThread (const std::size_t nb) const
 changes the number min of rows a thread should process in a multithreading context
virtual std::size_t minNbRowsPerThread () const
 returns the minimum of rows that each thread should process
void setRanges (const std::vector< std::pair< std::size_t, std::size_t > > &new_ranges)
 sets new ranges to perform the counts
void clearRanges ()
 reset the ranges to the one range corresponding to the whole database
const std::vector< std::pair< std::size_t, std::size_t > > & ranges () const
 returns the current ranges
virtual void clear ()
 clears all the data structures from memory, including the cache
virtual void clearCache ()
 clears the current cache
virtual void useCache (const bool on_off)
 turn on/off the use of a cache of the previously computed score
const Bijection< NodeId, std::size_t > & nodeId2Columns () const
 return the mapping between the columns of the database and the node ids
const DatabaseTabledatabase () const
 return the database used by the score

Protected Member Functions

 CachedContingencyCounter (const CachedContingencyCounter &from)
 copy constructor
 CachedContingencyCounter (CachedContingencyCounter &&from)
 move constructor
CachedContingencyCounteroperator= (const CachedContingencyCounter &from)
 copy operator
CachedContingencyCounteroperator= (CachedContingencyCounter &&from)
 move operator

Protected Attributes

const double one_log2_ {M_LOG2E}
 1 / log(2)
Priorprior_ {nullptr}
 the expert knowledge prior added to the contingency tables
RecordCounter counter_
 the record counter used for the counts over discrete variables
ScoringCache cache_
 the scoring cache
bool use_cache_ {true}
 a Boolean indicating whether we wish to use the cache
const std::vector< NodeIdempty_ids_
 an empty vector

Detailed Description

Common counting infrastructure shared by IndependenceTest and KNML.

Holds the database parser, prior, record counter, and scoring cache. Both IndependenceTest (Chi2, G2) and KNML inherit from this class. Copy and move constructors/operators are protected to prevent slicing.

Definition at line 72 of file cachedContingencyCounter.h.

Constructor & Destructor Documentation

◆ CachedContingencyCounter() [1/4]

gum::learning::CachedContingencyCounter::CachedContingencyCounter ( const DBRowGeneratorParser & parser,
const Prior & prior,
const std::vector< std::pair< std::size_t, std::size_t > > & ranges,
const Bijection< NodeId, std::size_t > & nodeId2columns = BijectionNodeId, std::size_t >() )

default constructor

Parameters
parserthe parser used to parse the database
priorAn prior that we add to the computation of the score
rangesa set of pairs {(X1,Y1),...,(Xn,Yn)} of database's rows indices. The counts are then performed only on the union of the rows [Xi,Yi), i in {1,...,n}. This is useful, e.g, when performing cross validation tasks, in which part of the database should be ignored. An empty set of ranges is equivalent to an interval [X,Y) ranging over the whole database.
nodeId2Columnsa mapping from the ids of the nodes in the graphical model to the corresponding column in the DatabaseTable parsed by the parser. An empty bijection means identity mapping.

References ranges().

Referenced by CachedContingencyCounter(), CachedContingencyCounter(), operator=(), and operator=().

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◆ CachedContingencyCounter() [2/4]

gum::learning::CachedContingencyCounter::CachedContingencyCounter ( const DBRowGeneratorParser & parser,
const Prior & prior,
const Bijection< NodeId, std::size_t > & nodeId2columns = BijectionNodeId, std::size_t >() )

default constructor (no ranges)

◆ ~CachedContingencyCounter()

virtual gum::learning::CachedContingencyCounter::~CachedContingencyCounter ( )
virtual

destructor

◆ CachedContingencyCounter() [3/4]

gum::learning::CachedContingencyCounter::CachedContingencyCounter ( const CachedContingencyCounter & from)
protected

copy constructor

References CachedContingencyCounter().

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◆ CachedContingencyCounter() [4/4]

gum::learning::CachedContingencyCounter::CachedContingencyCounter ( CachedContingencyCounter && from)
protected

move constructor

References CachedContingencyCounter().

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Member Function Documentation

◆ clear()

virtual void gum::learning::CachedContingencyCounter::clear ( )
virtual

clears all the data structures from memory, including the cache

Reimplemented in gum::learning::KNML.

◆ clearCache()

virtual void gum::learning::CachedContingencyCounter::clearCache ( )
virtual

clears the current cache

Reimplemented in gum::learning::KNML.

◆ clearRanges()

void gum::learning::CachedContingencyCounter::clearRanges ( )

reset the ranges to the one range corresponding to the whole database

◆ database()

const DatabaseTable & gum::learning::CachedContingencyCounter::database ( ) const

return the database used by the score

◆ getNumberOfThreads()

Size gum::learning::CachedContingencyCounter::getNumberOfThreads ( ) const
overridevirtual

returns the current max number of threads of the scheduler

Implements gum::IThreadNumberManager.

◆ isGumNumberOfThreadsOverriden()

bool gum::learning::CachedContingencyCounter::isGumNumberOfThreadsOverriden ( ) const
overridevirtual

indicates whether the user set herself the number of threads

Implements gum::IThreadNumberManager.

◆ minNbRowsPerThread()

virtual std::size_t gum::learning::CachedContingencyCounter::minNbRowsPerThread ( ) const
virtual

returns the minimum of rows that each thread should process

◆ nodeId2Columns()

const Bijection< NodeId, std::size_t > & gum::learning::CachedContingencyCounter::nodeId2Columns ( ) const

return the mapping between the columns of the database and the node ids

Warning
An empty nodeId2Columns bijection means that the mapping is an identity, i.e., the value of a NodeId is equal to the index of the column in the DatabaseTable.

◆ operator=() [1/2]

CachedContingencyCounter & gum::learning::CachedContingencyCounter::operator= ( CachedContingencyCounter && from)
protected

move operator

References CachedContingencyCounter().

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◆ operator=() [2/2]

CachedContingencyCounter & gum::learning::CachedContingencyCounter::operator= ( const CachedContingencyCounter & from)
protected

copy operator

References CachedContingencyCounter().

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◆ ranges()

const std::vector< std::pair< std::size_t, std::size_t > > & gum::learning::CachedContingencyCounter::ranges ( ) const

returns the current ranges

Referenced by CachedContingencyCounter(), gum::learning::IndependenceTest::IndependenceTest(), gum::learning::IndepTestChi2::IndepTestChi2(), gum::learning::IndepTestG2::IndepTestG2(), and gum::learning::KNML::KNML().

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◆ setMinNbRowsPerThread()

virtual void gum::learning::CachedContingencyCounter::setMinNbRowsPerThread ( const std::size_t nb) const
virtual

changes the number min of rows a thread should process in a multithreading context

◆ setNumberOfThreads()

void gum::learning::CachedContingencyCounter::setNumberOfThreads ( Size nb)
overridevirtual

sets the number max of threads that can be used

Implements gum::IThreadNumberManager.

◆ setRanges()

void gum::learning::CachedContingencyCounter::setRanges ( const std::vector< std::pair< std::size_t, std::size_t > > & new_ranges)

sets new ranges to perform the counts

◆ useCache()

virtual void gum::learning::CachedContingencyCounter::useCache ( const bool on_off)
virtual

turn on/off the use of a cache of the previously computed score

Reimplemented in gum::learning::KNML.

Member Data Documentation

◆ cache_

ScoringCache gum::learning::CachedContingencyCounter::cache_
protected

the scoring cache

Definition at line 171 of file cachedContingencyCounter.h.

◆ counter_

RecordCounter gum::learning::CachedContingencyCounter::counter_
protected

the record counter used for the counts over discrete variables

Definition at line 168 of file cachedContingencyCounter.h.

◆ empty_ids_

const std::vector< NodeId > gum::learning::CachedContingencyCounter::empty_ids_
protected

an empty vector

Definition at line 177 of file cachedContingencyCounter.h.

◆ one_log2_

const double gum::learning::CachedContingencyCounter::one_log2_ {M_LOG2E}
protected

1 / log(2)

Definition at line 162 of file cachedContingencyCounter.h.

162{M_LOG2E};
#define M_LOG2E
Definition math_utils.h:55

◆ prior_

Prior* gum::learning::CachedContingencyCounter::prior_ {nullptr}
protected

the expert knowledge prior added to the contingency tables

Definition at line 165 of file cachedContingencyCounter.h.

165{nullptr};

◆ use_cache_

bool gum::learning::CachedContingencyCounter::use_cache_ {true}
protected

a Boolean indicating whether we wish to use the cache

Definition at line 174 of file cachedContingencyCounter.h.

174{true};

The documentation for this class was generated from the following file: