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55 public Conditional<HybridGaussianFactor, HybridGaussianConditional> {
88 const std::vector<GaussianConditional::shared_ptr> &
conditionals);
100 const std::vector<std::pair<Vector, double>> &
parameters);
114 const std::vector<std::pair<Vector, double>> &
parameters);
131 const std::vector<std::pair<Vector, double>> &
parameters);
154 const std::string &
s =
"HybridGaussianConditional\n",
168 return choose(discreteValues);
172 size_t nrComponents()
const;
191 std::shared_ptr<HybridGaussianFactor> likelihood(
239 const Helper &helper);
258 #ifdef GTSAM_ENABLE_BOOST_SERIALIZATION
260 friend class boost::serialization::access;
261 template <
class Archive>
262 void serialize(Archive &ar,
const unsigned int ) {
263 ar &BOOST_SERIALIZATION_BASE_OBJECT_NVP(BaseFactor);
264 ar &BOOST_SERIALIZATION_BASE_OBJECT_NVP(BaseConditional);
265 ar &BOOST_SERIALIZATION_NVP(conditionals_);
276 :
public Testable<HybridGaussianConditional> {};
Conditional Gaussian Base class.
Array< double, 1, 3 > e(1./3., 0.5, 2.)
std::function< double(const Assignment< Key > &, double)> prunerFunc(const DecisionTreeFactor &prunedDiscreteProbs, const HybridConditional &conditional)
Helper function to get the pruner functional.
Conditionals conditionals_
a decision tree of Gaussian conditionals.
std::shared_ptr< HybridFactor > shared_ptr
shared_ptr to this class
const KeyFormatter & formatter
DiscreteKeys is a set of keys that can be assembled using the & operator.
FastVector< Key > KeyVector
Define collection type once and for all - also used in wrappers.
A set of GaussianFactors, indexed by a set of discrete keys.
const std::vector< GaussianConditional::shared_ptr > conditionals
KeyFormatter DefaultKeyFormatter
Assign default key formatter.
void print(const Matrix &A, const string &s, ostream &stream)
std::function< std::string(Key)> KeyFormatter
Typedef for a function to format a key, i.e. to convert it to a string.
static ConjugateGradientParameters parameters
Decision Tree for use in DiscreteFactors.
A conditional of gaussian conditionals indexed by discrete variables, as part of a Bayes Network....
double operator()(const HybridValues &values) const
Evaluate probability density, sugar.
specialized key for discrete variables
const gtsam::Symbol key('X', 0)
std::set< DiscreteKey > DiscreteKeysAsSet(const DiscreteKeys &discreteKeys)
Return the DiscreteKey vector as a set.
GaussianConditional::shared_ptr operator()(const DiscreteValues &discreteValues) const
Syntactic sugar for choose.
std::pair< Key, size_t > DiscreteKey
Implementation of a discrete-conditioned hybrid factor. Implements a joint discrete-continuous factor...
std::shared_ptr< This > shared_ptr
shared_ptr to this class
double negLogConstant() const override
Return log normalization constant in negative log space.
Base class for conditional densities.
std::uint64_t Key
Integer nonlinear key type.
static const T & choose(int layout, const T &col, const T &row)
gtsam
Author(s):
autogenerated on Fri Oct 4 2024 03:02:13