75 lines
		
	
	
		
			2.1 KiB
		
	
	
	
		
			C++
		
	
	
		
		
			
		
	
	
			75 lines
		
	
	
		
			2.1 KiB
		
	
	
	
		
			C++
		
	
	
|  | /* ----------------------------------------------------------------------------
 | ||
|  | 
 | ||
|  |  * GTSAM Copyright 2010, Georgia Tech Research Corporation,  | ||
|  |  * Atlanta, Georgia 30332-0415 | ||
|  |  * All Rights Reserved | ||
|  |  * Authors: Frank Dellaert, et al. (see THANKS for the full author list) | ||
|  | 
 | ||
|  |  * See LICENSE for the license information | ||
|  | 
 | ||
|  |  * -------------------------------------------------------------------------- */ | ||
|  | 
 | ||
|  | /**
 | ||
|  |  * @file small.cpp | ||
|  |  * @brief UGM (undirected graphical model) examples: small | ||
|  |  * @author Frank Dellaert | ||
|  |  * | ||
|  |  * See http://www.di.ens.fr/~mschmidt/Software/UGM/small.html
 | ||
|  |  */ | ||
|  | 
 | ||
|  | #include <gtsam/discrete/DiscreteFactorGraph.h>
 | ||
|  | #include <gtsam/discrete/DiscreteSequentialSolver.h>
 | ||
|  | 
 | ||
|  | using namespace std; | ||
|  | using namespace gtsam; | ||
|  | 
 | ||
|  | int main(int argc, char** argv) { | ||
|  | 
 | ||
|  | 	// We will assume 2-state variables, where, to conform to the "small" example
 | ||
|  | 	// we have 0 == "right answer" and 1 == "wrong answer"
 | ||
|  | 	size_t nrStates = 2; | ||
|  | 
 | ||
|  | 	// define variables
 | ||
|  | 	DiscreteKey Cathy(1, nrStates), Heather(2, nrStates), Mark(3, nrStates), | ||
|  | 			Allison(4, nrStates); | ||
|  | 
 | ||
|  | 	// create graph
 | ||
|  | 	DiscreteFactorGraph graph; | ||
|  | 
 | ||
|  | 	// add node potentials
 | ||
|  | 	graph.add(Cathy,   "1 3"); | ||
|  | 	graph.add(Heather, "9 1"); | ||
|  | 	graph.add(Mark,    "1 3"); | ||
|  | 	graph.add(Allison, "9 1"); | ||
|  | 
 | ||
|  | 	// add edge potentials
 | ||
|  | 	graph.add(Cathy & Heather, "2 1 1 2"); | ||
|  | 	graph.add(Heather & Mark,  "2 1 1 2"); | ||
|  | 	graph.add(Mark & Allison,  "2 1 1 2"); | ||
|  | 
 | ||
|  | 	// Print the UGM distribution
 | ||
|  | 	cout << "\nUGM distribution:" << endl; | ||
|  | 	for (size_t a = 0; a < nrStates; a++) | ||
|  | 		for (size_t m = 0; m < nrStates; m++) | ||
|  | 			for (size_t h = 0; h < nrStates; h++) | ||
|  | 				for (size_t c = 0; c < nrStates; c++) { | ||
|  | 					DiscreteFactor::Values values; | ||
|  | 					values[1] = c; | ||
|  | 					values[2] = h; | ||
|  | 					values[3] = m; | ||
|  | 					values[4] = a; | ||
|  | 					double prodPot = graph(values); | ||
|  | 					cout << c << " " << h << " " << m << " " << a << " :\t" | ||
|  | 							<< prodPot << "\t" << prodPot/3790 << endl; | ||
|  | 				} | ||
|  | 
 | ||
|  | 	// "Decoding", i.e., configuration with largest value
 | ||
|  | 	// We use sequential variable elimination
 | ||
|  | 	DiscreteSequentialSolver solver(graph); | ||
|  | 	DiscreteFactor::sharedValues optimalDecoding = solver.optimize(); | ||
|  | 	optimalDecoding->print("\noptimalDecoding"); | ||
|  | 
 | ||
|  | 	return 0; | ||
|  | } | ||
|  | 
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