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132 lines
3.1 KiB
132 lines
3.1 KiB
//+-------------------------------------------------------------------------
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//
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// Microsoft Windows
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//
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// Copyright (C) Microsoft Corporation, 1997 - 1997
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//
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// File: bndist.h
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//
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//--------------------------------------------------------------------------
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//
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// bndist.h: Belief Network Distributions
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//
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#ifndef _BNDIST_H_
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#define _BNDIST_H_
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#include "mddist.h"
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////////////////////////////////////////////////////////////////////
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// class BNDIST:
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//
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// Base class for probability distributions used in belief networks.
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//
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// This is a reference counted object which usually lives in the
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// distribution map of an MBNET.
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//
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// However, BNDISTs are also created for various other purposes
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// such as CI network expansion. In these cases, the BNDIST
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// is automatically deleted when the reference count goes to zero.
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// See BNDIST::NoRef().
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//
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////////////////////////////////////////////////////////////////////
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class BNDIST : public REFCNT
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{
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friend class DSCPARSER;
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public:
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BNDIST ();
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~ BNDIST ();
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BNDIST ( const BNDIST & bnd );
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enum EDIST
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{
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ED_NONE, // illegal value
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ED_DENSE, // lowest enum value for a dense distribution
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ED_SPARSE, // lowest enum value for a sparse distribution
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ED_CI_MAX, // therefore, CI "max" is sparse
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ED_CI_PLUS, // as is CI "plus"
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ED_MAX // first unused value
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};
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EDIST Edist () const
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{ return _edist; }
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BNDIST & operator = ( const BNDIST & bnd );
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// Set distribution to "dense"
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void SetDense ( const VIMD & vimd );
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// Set distribution to sparse
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void SetSparse ( const VIMD & vimd );
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static bool BDenseType ( EDIST edist )
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{ return edist >= ED_DENSE && edist < ED_SPARSE ; }
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static bool BSparseType ( EDIST edist )
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{ return edist >= ED_SPARSE && edist < ED_MAX ; }
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bool BDense () const
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{ return BDenseType( Edist() ); }
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bool BSparse () const
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{ return BSparseType( Edist() ); }
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bool BChangeSubtype ( EDIST edist );
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// Convert a dense representation to a sparse one
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void ConvertToDense ( const VIMD & vimd );
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void Clear ()
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{
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delete _pmdvcpd;
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_pmdvcpd = NULL;
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delete _mpcpdd;
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_mpcpdd = NULL;
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}
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MDVCPD & Mdvcpd ()
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{
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assert( _pmdvcpd );
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return *_pmdvcpd ;
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}
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const MDVCPD & Mdvcpd () const
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{
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assert( _pmdvcpd );
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return *_pmdvcpd ;
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}
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MPCPDD & Mpcpdd ()
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{
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assert( _mpcpdd );
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return *_mpcpdd;
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}
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const MPCPDD & Mpcpdd () const
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{
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assert( _mpcpdd );
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return *_mpcpdd;
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}
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const VIMD & VimdDim () const
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{ return _vimdDim; }
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// Return the "leak" or "default" vector for a sparse distribution
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const VLREAL * PVlrLeak () const;
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void Dump();
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void Clone ( const BNDIST & bndist );
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LEAK_VAR_ACCESSOR
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protected:
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EDIST _edist; // Type of distribution
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MDVCPD * _pmdvcpd; // Ptr to dense m-d array
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MPCPDD * _mpcpdd; // Ptr to sparse array
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VIMD _vimdDim; // Dense dimensionality
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// Called when object's reference count goes to zero
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void NoRef ();
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// Dumper functions
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void DumpSparse();
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void DumpDense();
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LEAK_VAR_DECL
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};
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#endif
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