82 lines
2.2 KiB
C++
82 lines
2.2 KiB
C++
/**
|
|
* @file testBinaryBayesNet.cpp
|
|
* @brief Unit tests for BinaryBayesNet
|
|
* @author Manohar Paluri
|
|
*/
|
|
|
|
// STL/C++
|
|
#include <iostream>
|
|
#include <sstream>
|
|
#include <map>
|
|
#include <CppUnitLite/TestHarness.h>
|
|
#include <boost/tuple/tuple.hpp>
|
|
#include <boost/foreach.hpp>
|
|
|
|
#include <boost/assign/std/vector.hpp> // for operator +=
|
|
using namespace boost::assign;
|
|
|
|
#ifdef HAVE_BOOST_SERIALIZATION
|
|
#include <boost/archive/text_oarchive.hpp>
|
|
#include <boost/archive/text_iarchive.hpp>
|
|
#endif //HAVE_BOOST_SERIALIZATION
|
|
|
|
#define GTSAM_MAGIC_KEY
|
|
|
|
#include "BinaryConditional.h"
|
|
#include "BayesNet-inl.h"
|
|
#include "smallExample.h"
|
|
#include "Ordering.h"
|
|
#include "SymbolMap.h"
|
|
|
|
using namespace std;
|
|
using namespace gtsam;
|
|
|
|
/** A Bayes net made from binary conditional probability tables */
|
|
typedef BayesNet<BinaryConditional> BinaryBayesNet;
|
|
|
|
|
|
double probability( BinaryBayesNet & bbn, SymbolMap<bool> & config)
|
|
{
|
|
double result = 1.0;
|
|
BinaryBayesNet::const_iterator it = bbn.begin();
|
|
while( it != bbn.end() ){
|
|
result *= (*it)->probability(config);
|
|
it++;
|
|
}
|
|
return result;
|
|
}
|
|
|
|
/************************************************************************** */
|
|
TEST( BinaryBayesNet, constructor )
|
|
{
|
|
// small Bayes Net x <- y
|
|
// p(y) = 0.2
|
|
// p(x|y=0) = 0.3
|
|
// p(x|y=1) = 0.6
|
|
|
|
SymbolMap<bool> config;
|
|
config["y"] = false;
|
|
config["x"] = false;
|
|
// unary conditional for y
|
|
boost::shared_ptr<BinaryConditional> py(new BinaryConditional("y",0.2));
|
|
DOUBLES_EQUAL(0.8,py->probability(config),0.01);
|
|
|
|
// single parent conditional for x
|
|
vector<double> cpt;
|
|
cpt += 0.3, 0.6 ; // array index corresponds to binary parent configuration
|
|
boost::shared_ptr<BinaryConditional> px_y(new BinaryConditional("x","y",cpt));
|
|
DOUBLES_EQUAL(0.7,px_y->probability(config),0.01);
|
|
|
|
// push back conditionals in topological sort order (parents last)
|
|
BinaryBayesNet bbn;
|
|
bbn.push_back(py);
|
|
bbn.push_back(px_y);
|
|
|
|
// Test probability of 00,01,10,11
|
|
DOUBLES_EQUAL(0.56,probability(bbn,config),0.01); // P(y=0)P(x=0|y=0) = 0.8 * 0.7 = 0.56;
|
|
}
|
|
|
|
/* ************************************************************************* */
|
|
int main() { TestResult tr; return TestRegistry::runAllTests(tr);}
|
|
/* ************************************************************************* */
|