40 using shared_ptr = boost::shared_ptr<HybridBayesNet>;
41 using sharedConditional = boost::shared_ptr<ConditionalType>;
55 DefaultKeyFormatter)
const override;
58 bool equals(
const This &fg,
double tol = 1e-9)
const;
69 void push_back(boost::shared_ptr<HybridConditional> conditional) {
70 factors_.push_back(conditional);
81 template <
class Conditional>
83 factors_.push_back(boost::make_shared<HybridConditional>(
84 boost::shared_ptr<Conditional>(conditional)));
101 boost::make_shared<HybridConditional>(std::move(conditional)));
118 return evaluate(values);
144 DecisionTreeFactor::shared_ptr discreteConditionals()
const;
200 using BayesNet::logProbability;
232 friend class boost::serialization::access;
233 template <
class ARCHIVE>
234 void serialize(ARCHIVE &ar,
const unsigned int ) {
235 ar &BOOST_SERIALIZATION_BASE_OBJECT_NVP(
Base);
Chordal Bayes Net, the result of eliminating a factor graph.
Included from all GTSAM files.
Global functions in a separate testing namespace.
Definition chartTesting.h:28
Point3 optimize(const NonlinearFactorGraph &graph, const Values &values, Key landmarkKey)
Optimize for triangulation.
Definition triangulation.cpp:155
void print(const Matrix &A, const string &s, ostream &stream)
print without optional string, must specify cout yourself
Definition Matrix.cpp:156
std::function< std::string(Key)> KeyFormatter
Typedef for a function to format a key, i.e. to convert it to a string.
Definition Key.h:35
A manifold defines a space in which there is a notion of a linear tangent space that can be centered ...
Definition concepts.h:30
Template to create a binary predicate.
Definition Testable.h:111
A helper that implements the traits interface for GTSAM types.
Definition Testable.h:151
An algebraic decision tree fixes the range of a DecisionTree to double.
Definition AlgebraicDecisionTree.h:38
A discrete probabilistic factor.
Definition DecisionTreeFactor.h:45
A map from keys to values.
Definition DiscreteValues.h:34
A hybrid Bayes net is a collection of HybridConditionals, which can have discrete conditionals,...
Definition HybridBayesNet.h:35
void push_back(boost::shared_ptr< HybridConditional > conditional)
Add a hybrid conditional using a shared_ptr.
Definition HybridBayesNet.h:69
void emplace_back(Conditional *conditional)
Preferred: add a conditional directly using a pointer.
Definition HybridBayesNet.h:82
void push_back(HybridConditional &&conditional)
Add a conditional using a shared_ptr, using implicit conversion to a HybridConditional.
Definition HybridBayesNet.h:99
HybridBayesNet()=default
Construct empty Bayes net.
double operator()(const HybridValues &values) const
Evaluate hybrid probability density for given HybridValues, sugar.
Definition HybridBayesNet.h:117
Hybrid Conditional Density.
Definition HybridConditional.h:62
Definition HybridGaussianFactorGraph.h:102
HybridValues represents a collection of DiscreteValues and VectorValues.
Definition HybridValues.h:38
A BayesNet is a tree of conditionals, stored in elimination order.
Definition BayesNet.h:35
Definition Conditional.h:64
GaussianBayesNet is a Bayes net made from linear-Gaussian conditionals.
Definition GaussianBayesNet.h:36
VectorValues represents a collection of vector-valued variables associated each with a unique integer...
Definition VectorValues.h:74