Improved documentation of include/dai/jtree.h and did some cleanups
[libdai.git] / include / dai / exactinf.h
1 /* This file is part of libDAI - http://www.libdai.org/
2 *
3 * libDAI is licensed under the terms of the GNU General Public License version
4 * 2, or (at your option) any later version. libDAI is distributed without any
5 * warranty. See the file COPYING for more details.
6 *
7 * Copyright (C) 2006-2009 Joris Mooij [joris dot mooij at libdai dot org]
8 * Copyright (C) 2006-2007 Radboud University Nijmegen, The Netherlands
9 */
10
11
12 /// \file
13 /// \brief Defines ExactInf class, which can be used for exact inference on small factor graphs.
14
15
16 #ifndef __defined_libdai_exactinf_h
17 #define __defined_libdai_exactinf_h
18
19
20 #include <dai/daialg.h>
21 #include <dai/properties.h>
22 #include <dai/factorgraph.h>
23 #include <dai/enum.h>
24
25
26 namespace dai {
27
28
29 /// Exact inference algorithm using brute force enumeration (mainly useful for testing purposes)
30 /** Inference is done simply by multiplying all factors together into one large factor,
31 * and then calculating marginals and partition sum from the product.
32 * \note This inference method can easily exhaust all available memory; in that case, one
33 * may try the JTree class instead.
34 */
35 class ExactInf : public DAIAlgFG {
36 public:
37 /// Parameters of this inference algorithm
38 struct Properties {
39 /// Verbosity
40 size_t verbose;
41 } props;
42
43 /// Name of this inference algorithm
44 static const char *Name;
45
46 private:
47 /// All single variable marginals
48 std::vector<Factor> _beliefsV;
49 /// All factor variable marginals
50 std::vector<Factor> _beliefsF;
51 /// Logarithm of partition sum
52 Real _logZ;
53
54 public:
55 /// \name Constructors/destructors
56 //@{
57 /// Default constructor
58 ExactInf() : DAIAlgFG(), props(), _beliefsV(), _beliefsF(), _logZ(0) {}
59
60 /// Construct from FactorGraph \a fg and PropertySet \a opts
61 ExactInf( const FactorGraph &fg, const PropertySet &opts ) : DAIAlgFG(fg), props(), _beliefsV(), _beliefsF(), _logZ() {
62 setProperties( opts );
63 construct();
64 }
65 //@}
66
67 /// \name General InfAlg interface
68 //@{
69 virtual ExactInf* clone() const { return new ExactInf(*this); }
70 virtual std::string identify() const;
71 virtual Factor belief( const Var &n ) const { return beliefV( findVar( n ) ); }
72 virtual Factor belief( const VarSet &ns ) const;
73 virtual Factor beliefV( size_t i ) const { return _beliefsV[i]; }
74 virtual Factor beliefF( size_t I ) const { return _beliefsF[I]; }
75 virtual std::vector<Factor> beliefs() const;
76 virtual Real logZ() const { return _logZ; }
77 virtual void init();
78 virtual void init( const VarSet &/*ns*/ ) { DAI_THROW(NOT_IMPLEMENTED); }
79 virtual Real run();
80 virtual Real maxDiff() const { DAI_THROW(NOT_IMPLEMENTED); return 0.0; }
81 virtual size_t Iterations() const { DAI_THROW(NOT_IMPLEMENTED); return 0; }
82 virtual void setProperties( const PropertySet &opts );
83 virtual PropertySet getProperties() const;
84 virtual std::string printProperties() const;
85 //@}
86
87 /// \name Additional interface specific for JTree
88 //@{
89 /// Calculates marginal probability distribution for variables \a vs
90 /** \note The complexity of this calculation is exponential in the number of variables.
91 */
92 Factor calcMarginal( const VarSet &vs ) const;
93 //@}
94
95
96 private:
97 /// Helper function for constructors
98 void construct();
99 };
100
101
102 } // end of namespace dai
103
104
105 #endif