inferenceargs.h

00001 /*
00002  * All of the documentation and software included in the
00003  * Alchemy Software is copyrighted by Stanley Kok, Parag
00004  * Singla, Matthew Richardson, Pedro Domingos, Marc
00005  * Sumner and Hoifung Poon.
00006  * 
00007  * Copyright [2004-07] Stanley Kok, Parag Singla, Matthew
00008  * Richardson, Pedro Domingos, Marc Sumner and Hoifung
00009  * Poon. All rights reserved.
00010  * 
00011  * Contact: Pedro Domingos, University of Washington
00012  * (pedrod@cs.washington.edu).
00013  * 
00014  * Redistribution and use in source and binary forms, with
00015  * or without modification, are permitted provided that
00016  * the following conditions are met:
00017  * 
00018  * 1. Redistributions of source code must retain the above
00019  * copyright notice, this list of conditions and the
00020  * following disclaimer.
00021  * 
00022  * 2. Redistributions in binary form must reproduce the
00023  * above copyright notice, this list of conditions and the
00024  * following disclaimer in the documentation and/or other
00025  * materials provided with the distribution.
00026  * 
00027  * 3. All advertising materials mentioning features or use
00028  * of this software must display the following
00029  * acknowledgment: "This product includes software
00030  * developed by Stanley Kok, Parag Singla, Matthew
00031  * Richardson, Pedro Domingos, Marc Sumner and Hoifung
00032  * Poon in the Department of Computer Science and
00033  * Engineering at the University of Washington".
00034  * 
00035  * 4. Your publications acknowledge the use or
00036  * contribution made by the Software to your research
00037  * using the following citation(s): 
00038  * Stanley Kok, Parag Singla, Matthew Richardson and
00039  * Pedro Domingos (2005). "The Alchemy System for
00040  * Statistical Relational AI", Technical Report,
00041  * Department of Computer Science and Engineering,
00042  * University of Washington, Seattle, WA.
00043  * http://www.cs.washington.edu/ai/alchemy.
00044  * 
00045  * 5. Neither the name of the University of Washington nor
00046  * the names of its contributors may be used to endorse or
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00049  * 
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00064  * 
00065  */
00066 #ifndef INFERENCEARGS_H_
00067 #define INFERENCEARGS_H_
00068 
00079   // Holds the names of the input mln files comma-separated
00080 char* ainMLNFiles     = NULL;
00081 
00082   // Holds closed-world non-evidence preds
00083 char* aClosedWorldPredsStr = NULL;
00084   // Holds open-world evidence preds
00085 char* aOpenWorldPredsStr = NULL;
00086 
00087   // MAP Inference
00088 bool  amapPos = false;
00089 bool  amapAll = false;
00090   // Gibbs Sampling
00091 bool  agibbsInfer = false;
00092   // MC-SAT
00093 bool  amcsatInfer = false;
00094   // Simulated Tempering
00095 bool  asimtpInfer = false;
00096 
00097   // Lazy state or not?
00098 bool aLazy = false;
00099   // Seed for inference algorithm
00100 int aSeed = -1;
00101   // Limit in kbytes before using lazy version
00102 int aMemLimit = -1;
00103   // If true, atoms won't be deactivated to save space
00104 bool aLazyNoApprox = false;
00105 
00106   // MaxWalkSat params
00107 int  amwsMaxSteps     = 100000;
00108 int  amwsTries        = 1;
00109 int  amwsNumSolutions = 10;
00110 int  amwsTargetWt     = 0;
00111 bool amwsHard         = false;
00112 int  amwsHeuristic    = 2; // 0 = RANDOM, 1 = BEST, 2 = TABU, 3 = SampleSat
00113 int  amwsTabuLength   = 10;
00114 bool amwsLazyLowState = false;
00115 
00116   // SampleSat params
00117 int  assSaRatio = 50;       // percent of SA steps
00118 int  assSaTemp  = 50;       // temperature/100: SA temperature
00119 bool assLateSa  = false;    // sa only at a plateur
00120 
00121   // MCMC params
00122 int amcmcNumChains    = 10;
00123 int amcmcBurnMinSteps = 100;
00124 int amcmcBurnMaxSteps = 100;
00125 int amcmcMinSteps     = -1;
00126 int amcmcMaxSteps     = 1000;
00127 int amcmcMaxSeconds   = -1;
00128 
00129   // Gibbs params
00130 double agibbsDelta          = 0.05;
00131 double agibbsEpsilonError   = 0.01;
00132 double agibbsFracConverged  = 0.95;
00133 int    agibbsWalksatType    = 1;
00134 int    agibbsSamplesPerTest = 100;
00135 
00136   // MC-SAT params
00137   // Number of total steps (mcsat & Gibbs) for each MC-SAT step
00138 int amcsatNumStepsEveryMCSat = 1;
00139 
00140   // Simulated Tempering params
00141 int asimtpSubInterval = 2;
00142 int asimtpNumST       = 3;
00143 int asimtpNumSwap     = 10;
00144 
00145 #endif /*INFERENCEARGS_H_*/

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