Public Types | Private Types | List of all members
gtsam::BayesNet< CONDITIONAL > Class Template Reference

#include <BayesNet.h>

Inheritance diagram for gtsam::BayesNet< CONDITIONAL >:
Inheritance graph
[legend]

Public Types

typedef boost::shared_ptr< CONDITIONAL > sharedConditional
 A shared pointer to a conditional. More...
 
- Public Types inherited from gtsam::FactorGraph< CONDITIONAL >
typedef FastVector< sharedFactor >::const_iterator const_iterator
 
typedef CONDITIONAL FactorType
 factor type More...
 
typedef FastVector< sharedFactor >::iterator iterator
 
typedef boost::shared_ptr< CONDITIONAL > sharedFactor
 Shared pointer to a factor. More...
 
typedef sharedFactor value_type
 

Private Types

typedef FactorGraph< CONDITIONAL > Base
 

Standard Constructors

 BayesNet ()
 
template<typename ITERATOR >
 BayesNet (ITERATOR firstConditional, ITERATOR lastConditional)
 

Testable

void print (const std::string &s="BayesNet", const KeyFormatter &formatter=DefaultKeyFormatter) const override
 

Standard Interface

void saveGraph (const std::string &s, const KeyFormatter &keyFormatter=DefaultKeyFormatter) const
 

Additional Inherited Members

- Public Member Functions inherited from gtsam::FactorGraph< CONDITIONAL >
virtual ~FactorGraph ()=default
 Default destructor. More...
 
void reserve (size_t size)
 
IsDerived< DERIVEDFACTOR > push_back (boost::shared_ptr< DERIVEDFACTOR > factor)
 Add a factor directly using a shared_ptr. More...
 
IsDerived< DERIVEDFACTOR > push_back (const DERIVEDFACTOR &factor)
 
IsDerived< DERIVEDFACTOR > emplace_shared (Args &&...args)
 Emplace a shared pointer to factor of given type. More...
 
IsDerived< DERIVEDFACTOR > add (boost::shared_ptr< DERIVEDFACTOR > factor)
 add is a synonym for push_back. More...
 
std::enable_if< std::is_base_of< FactorType, DERIVEDFACTOR >::value, boost::assign::list_inserter< RefCallPushBack< This > > >::type operator+= (boost::shared_ptr< DERIVEDFACTOR > factor)
 += works well with boost::assign list inserter. More...
 
HasDerivedElementType< ITERATOR > push_back (ITERATOR firstFactor, ITERATOR lastFactor)
 
HasDerivedValueType< ITERATOR > push_back (ITERATOR firstFactor, ITERATOR lastFactor)
 Push back many factors with an iterator (factors are copied) More...
 
HasDerivedElementType< CONTAINER > push_back (const CONTAINER &container)
 
HasDerivedValueType< CONTAINER > push_back (const CONTAINER &container)
 Push back non-pointer objects in a container (factors are copied). More...
 
void add (const FACTOR_OR_CONTAINER &factorOrContainer)
 
boost::assign::list_inserter< CRefCallPushBack< This > > operator+= (const FACTOR_OR_CONTAINER &factorOrContainer)
 
std::enable_if< std::is_base_of< This, typename CLIQUE::FactorGraphType >::value >::type push_back (const BayesTree< CLIQUE > &bayesTree)
 
FactorIndices add_factors (const CONTAINER &factors, bool useEmptySlots=false)
 
bool equals (const This &fg, double tol=1e-9) const
 
size_t size () const
 
bool empty () const
 
const sharedFactor at (size_t i) const
 
sharedFactorat (size_t i)
 
const sharedFactor operator[] (size_t i) const
 
sharedFactoroperator[] (size_t i)
 
const_iterator begin () const
 
const_iterator end () const
 
sharedFactor front () const
 
sharedFactor back () const
 
iterator begin ()
 
iterator end ()
 
void resize (size_t size)
 
void remove (size_t i)
 
void replace (size_t index, sharedFactor factor)
 
iterator erase (iterator item)
 
iterator erase (iterator first, iterator last)
 
size_t nrFactors () const
 
KeySet keys () const
 
KeyVector keyVector () const
 
bool exists (size_t idx) const
 
- Protected Member Functions inherited from gtsam::FactorGraph< CONDITIONAL >
 FactorGraph ()
 
 FactorGraph (ITERATOR firstFactor, ITERATOR lastFactor)
 
 FactorGraph (const CONTAINER &factors)
 
- Protected Attributes inherited from gtsam::FactorGraph< CONDITIONAL >
FastVector< sharedFactorfactors_
 

Detailed Description

template<class CONDITIONAL>
class gtsam::BayesNet< CONDITIONAL >

A BayesNet is a tree of conditionals, stored in elimination order.

todo: how to handle Bayes nets with an optimize function? Currently using global functions.

Definition at line 34 of file BayesNet.h.

Member Typedef Documentation

template<class CONDITIONAL>
typedef FactorGraph<CONDITIONAL> gtsam::BayesNet< CONDITIONAL >::Base
private

Definition at line 38 of file BayesNet.h.

template<class CONDITIONAL>
typedef boost::shared_ptr<CONDITIONAL> gtsam::BayesNet< CONDITIONAL >::sharedConditional

A shared pointer to a conditional.

Definition at line 41 of file BayesNet.h.

Constructor & Destructor Documentation

template<class CONDITIONAL>
gtsam::BayesNet< CONDITIONAL >::BayesNet ( )
inlineprotected

Default constructor as an empty BayesNet

Definition at line 48 of file BayesNet.h.

template<class CONDITIONAL>
template<typename ITERATOR >
gtsam::BayesNet< CONDITIONAL >::BayesNet ( ITERATOR  firstConditional,
ITERATOR  lastConditional 
)
inlineprotected

Construct from iterator over conditionals

Definition at line 52 of file BayesNet.h.

Member Function Documentation

template<class CONDITIONAL >
void gtsam::BayesNet< CONDITIONAL >::print ( const std::string &  s = "BayesNet< CONDITIONAL >",
const KeyFormatter formatter = DefaultKeyFormatter 
) const
overridevirtual

print out graph

Reimplemented from gtsam::FactorGraph< CONDITIONAL >.

Definition at line 31 of file BayesNet-inst.h.

template<class CONDITIONAL >
void gtsam::BayesNet< CONDITIONAL >::saveGraph ( const std::string &  s,
const KeyFormatter keyFormatter = DefaultKeyFormatter 
) const

Definition at line 38 of file BayesNet-inst.h.


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


gtsam
Author(s):
autogenerated on Sat May 8 2021 02:58:03