markdown for Bayes nets
parent
3bdb585185
commit
edadd352af
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@ -38,7 +38,7 @@ namespace gtsam {
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double DiscreteBayesNet::evaluate(const DiscreteValues & values) const {
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// evaluate all conditionals and multiply
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double result = 1.0;
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for(DiscreteConditional::shared_ptr conditional: *this)
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for(const DiscreteConditional::shared_ptr& conditional: *this)
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result *= (*conditional)(values);
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return result;
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}
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@ -61,5 +61,15 @@ namespace gtsam {
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return result;
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}
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/* ************************************************************************* */
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std::string DiscreteBayesNet::_repr_markdown_(
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const KeyFormatter& keyFormatter) const {
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using std::endl;
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std::stringstream ss;
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ss << "`DiscreteBayesNet` of size " << size() << endl << endl;
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for(const DiscreteConditional::shared_ptr& conditional: *this)
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ss << conditional->_repr_markdown_(keyFormatter) << endl;
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return ss.str();
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}
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/* ************************************************************************* */
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} // namespace
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@ -13,6 +13,7 @@
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* @file DiscreteBayesNet.h
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* @date Feb 15, 2011
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* @author Duy-Nguyen Ta
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* @author Frank dellaert
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*/
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#pragma once
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@ -97,6 +98,14 @@ namespace gtsam {
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DiscreteValues sample() const;
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///@}
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/// @name Wrapper support
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/// @{
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/// Render as markdown table.
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std::string _repr_markdown_(
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const KeyFormatter& keyFormatter = DefaultKeyFormatter) const;
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/// @}
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private:
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/** Serialization function */
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@ -93,6 +93,8 @@ class DiscreteBayesNet {
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double operator()(const gtsam::DiscreteValues& values) const;
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gtsam::DiscreteValues optimize() const;
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gtsam::DiscreteValues sample() const;
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string _repr_markdown_(const gtsam::KeyFormatter& keyFormatter =
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gtsam::DefaultKeyFormatter) const;
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};
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#include <gtsam/discrete/DiscreteBayesTree.h>
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@ -38,6 +38,9 @@ using namespace boost::assign;
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using namespace std;
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using namespace gtsam;
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static const DiscreteKey Asia(0, 2), Smoking(4, 2), Tuberculosis(3, 2),
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LungCancer(6, 2), Bronchitis(7, 2), Either(5, 2), XRay(2, 2), Dyspnea(1, 2);
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/* ************************************************************************* */
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TEST(DiscreteBayesNet, bayesNet) {
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DiscreteBayesNet bayesNet;
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@ -71,8 +74,6 @@ TEST(DiscreteBayesNet, bayesNet) {
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/* ************************************************************************* */
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TEST(DiscreteBayesNet, Asia) {
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DiscreteBayesNet asia;
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DiscreteKey Asia(0, 2), Smoking(4, 2), Tuberculosis(3, 2), LungCancer(6, 2),
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Bronchitis(7, 2), Either(5, 2), XRay(2, 2), Dyspnea(1, 2);
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asia.add(Asia % "99/1");
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asia.add(Smoking % "50/50");
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@ -151,9 +152,6 @@ TEST(DiscreteBayesNet, Sugar) {
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/* ************************************************************************* */
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TEST(DiscreteBayesNet, Dot) {
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DiscreteKey Asia(0, 2), Smoking(4, 2), Tuberculosis(3, 2), LungCancer(6, 2),
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Either(5, 2);
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DiscreteBayesNet fragment;
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fragment.add(Asia % "99/1");
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fragment.add(Smoking % "50/50");
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@ -172,6 +170,31 @@ TEST(DiscreteBayesNet, Dot) {
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"}");
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}
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/* ************************************************************************* */
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// Check markdown representation looks as expected.
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TEST(DiscreteBayesNet, markdown) {
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DiscreteBayesNet fragment;
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fragment.add(Asia % "99/1");
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fragment.add(Smoking | Asia = "8/2 7/3");
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string expected =
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"`DiscreteBayesNet` of size 2\n"
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"\n"
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" $P(Asia)$:\n"
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"|0|1|\n"
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"|:-:|:-:|\n"
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"|0.99|0.01|\n"
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"\n"
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" $P(Smoking|Asia)$:\n"
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"|Asia|0|1|\n"
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"|:-:|:-:|:-:|\n"
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"|0|0.8|0.2|\n"
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"|1|0.7|0.3|\n\n";
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auto formatter = [](Key key) { return key == 0 ? "Asia" : "Smoking"; };
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string actual = fragment._repr_markdown_(formatter);
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EXPECT(actual == expected);
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}
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/* ************************************************************************* */
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int main() {
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TestResult tr;
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