HybridGaussianConditional.h
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1 /* ----------------------------------------------------------------------------
2 
3  * GTSAM Copyright 2010, Georgia Tech Research Corporation,
4  * Atlanta, Georgia 30332-0415
5  * All Rights Reserved
6  * Authors: Frank Dellaert, et al. (see THANKS for the full author list)
7 
8  * See LICENSE for the license information
9 
10  * -------------------------------------------------------------------------- */
11 
20 #pragma once
21 
30 
31 namespace gtsam {
32 
33 class HybridValues;
34 
53 class GTSAM_EXPORT HybridGaussianConditional
54  : public HybridGaussianFactor,
55  public Conditional<HybridGaussianFactor, HybridGaussianConditional> {
56  public:
58  using shared_ptr = std::shared_ptr<This>;
61 
64 
65  private:
67 
71 
72  public:
75 
77  HybridGaussianConditional() = default;
78 
87  const DiscreteKey &discreteParent,
88  const std::vector<GaussianConditional::shared_ptr> &conditionals);
89 
99  const DiscreteKey &discreteParent, Key key,
100  const std::vector<std::pair<Vector, double>> &parameters);
101 
113  const DiscreteKey &discreteParent, Key key, const Matrix &A, Key parent,
114  const std::vector<std::pair<Vector, double>> &parameters);
115 
129  const DiscreteKey &discreteParent, Key key, //
130  const Matrix &A1, Key parent1, const Matrix &A2, Key parent2,
131  const std::vector<std::pair<Vector, double>> &parameters);
132 
142  HybridGaussianConditional(const DiscreteKeys &discreteParents,
143  const Conditionals &conditionals);
144 
148 
150  bool equals(const HybridFactor &lf, double tol = 1e-9) const override;
151 
153  void print(
154  const std::string &s = "HybridGaussianConditional\n",
155  const KeyFormatter &formatter = DefaultKeyFormatter) const override;
156 
160 
163  const DiscreteValues &discreteValues) const;
164 
167  const DiscreteValues &discreteValues) const {
168  return choose(discreteValues);
169  }
170 
172  size_t nrComponents() const;
173 
175  KeyVector continuousParents() const;
176 
185  inline double negLogConstant() const override { return negLogConstant_; }
186 
191  std::shared_ptr<HybridGaussianFactor> likelihood(
192  const VectorValues &given) const;
193 
195  const Conditionals &conditionals() const;
196 
204  AlgebraicDecisionTree<Key> logProbability(
205  const VectorValues &continuousValues) const;
206 
213  double logProbability(const HybridValues &values) const override;
214 
216  double evaluate(const HybridValues &values) const override;
217 
219  double operator()(const HybridValues &values) const {
220  return evaluate(values);
221  }
222 
229  void prune(const DecisionTreeFactor &discreteProbs);
230 
232 
233  private:
235  struct Helper;
236 
238  HybridGaussianConditional(const DiscreteKeys &discreteParents,
239  const Helper &helper);
240 
242  GaussianFactorGraphTree asGaussianFactorGraphTree() const;
243 
251  std::function<GaussianConditional::shared_ptr(
253  prunerFunc(const DecisionTreeFactor &prunedProbabilities);
254 
256  bool allFrontalsGiven(const VectorValues &given) const;
257 
258 #ifdef GTSAM_ENABLE_BOOST_SERIALIZATION
259 
260  friend class boost::serialization::access;
261  template <class Archive>
262  void serialize(Archive &ar, const unsigned int /*version*/) {
263  ar &BOOST_SERIALIZATION_BASE_OBJECT_NVP(BaseFactor);
264  ar &BOOST_SERIALIZATION_BASE_OBJECT_NVP(BaseConditional);
265  ar &BOOST_SERIALIZATION_NVP(conditionals_);
266  }
267 #endif
268 };
269 
271 std::set<DiscreteKey> DiscreteKeysAsSet(const DiscreteKeys &discreteKeys);
272 
273 // traits
274 template <>
276  : public Testable<HybridGaussianConditional> {};
277 
278 } // namespace gtsam
gtsam::DecisionTreeFactor
Definition: DecisionTreeFactor.h:44
gtsam::HybridValues
Definition: HybridValues.h:37
GaussianConditional.h
Conditional Gaussian Base class.
s
RealScalar s
Definition: level1_cplx_impl.h:126
e
Array< double, 1, 3 > e(1./3., 0.5, 2.)
gtsam::prunerFunc
std::function< double(const Assignment< Key > &, double)> prunerFunc(const DecisionTreeFactor &prunedDiscreteProbs, const HybridConditional &conditional)
Helper function to get the pruner functional.
Definition: HybridBayesNet.cpp:48
gtsam::HybridGaussianConditional::conditionals_
Conditionals conditionals_
a decision tree of Gaussian conditionals.
Definition: HybridGaussianConditional.h:66
gtsam::HybridFactor
Definition: HybridFactor.h:54
gtsam::HybridFactor::shared_ptr
std::shared_ptr< HybridFactor > shared_ptr
shared_ptr to this class
Definition: HybridFactor.h:73
formatter
const KeyFormatter & formatter
Definition: treeTraversal-inst.h:204
gtsam::Matrix
Eigen::MatrixXd Matrix
Definition: base/Matrix.h:39
different_sigmas::values
HybridValues values
Definition: testHybridBayesNet.cpp:195
gtsam::DiscreteKeys
DiscreteKeys is a set of keys that can be assembled using the & operator.
Definition: DiscreteKey.h:41
HybridValues
gtsam::KeyVector
FastVector< Key > KeyVector
Define collection type once and for all - also used in wrappers.
Definition: Key.h:92
HybridGaussianFactor.h
A set of GaussianFactors, indexed by a set of discrete keys.
equal_constants::conditionals
const std::vector< GaussianConditional::shared_ptr > conditionals
Definition: testHybridGaussianConditional.cpp:50
gtsam::DefaultKeyFormatter
KeyFormatter DefaultKeyFormatter
Assign default key formatter.
Definition: Key.cpp:30
gtsam::AlgebraicDecisionTree< Key >
gtsam::print
void print(const Matrix &A, const string &s, ostream &stream)
Definition: Matrix.cpp:155
HybridFactor.h
A
Definition: test_numpy_dtypes.cpp:298
gtsam::VectorValues
Definition: VectorValues.h:74
gtsam::KeyFormatter
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
parameters
static ConjugateGradientParameters parameters
Definition: testIterative.cpp:33
DecisionTree.h
Decision Tree for use in DiscreteFactors.
A2
static const double A2[]
Definition: expn.h:7
gtsam::HybridGaussianConditional
A conditional of gaussian conditionals indexed by discrete variables, as part of a Bayes Network....
Definition: HybridGaussianConditional.h:53
gtsam::Assignment< Key >
gtsam::HybridGaussianConditional::operator()
double operator()(const HybridValues &values) const
Evaluate probability density, sugar.
Definition: HybridGaussianConditional.h:219
gtsam::Conditional
Definition: Conditional.h:63
gtsam::equals
Definition: Testable.h:112
DiscreteKey.h
specialized key for discrete variables
key
const gtsam::Symbol key('X', 0)
gtsam::DecisionTree< Key, GaussianConditional::shared_ptr >
gtsam::DiscreteKeysAsSet
std::set< DiscreteKey > DiscreteKeysAsSet(const DiscreteKeys &discreteKeys)
Return the DiscreteKey vector as a set.
Definition: HybridGaussianConditional.cpp:286
gtsam
traits
Definition: chartTesting.h:28
gtsam::Testable
Definition: Testable.h:152
DecisionTree-inl.h
gtsam::traits
Definition: Group.h:36
gtsam::DiscreteValues
Definition: DiscreteValues.h:34
gtsam::HybridGaussianConditional::operator()
GaussianConditional::shared_ptr operator()(const DiscreteValues &discreteValues) const
Syntactic sugar for choose.
Definition: HybridGaussianConditional.h:166
gtsam::DiscreteKey
std::pair< Key, size_t > DiscreteKey
Definition: DiscreteKey.h:38
gtsam::HybridGaussianFactor
Implementation of a discrete-conditioned hybrid factor. Implements a joint discrete-continuous factor...
Definition: HybridGaussianFactor.h:59
A1
static const double A1[]
Definition: expn.h:6
gtsam::GaussianConditional::shared_ptr
std::shared_ptr< This > shared_ptr
shared_ptr to this class
Definition: GaussianConditional.h:46
gtsam::HybridGaussianConditional::negLogConstant_
double negLogConstant_
Definition: HybridGaussianConditional.h:70
gtsam::HybridGaussianConditional::negLogConstant
double negLogConstant() const override
Return log normalization constant in negative log space.
Definition: HybridGaussianConditional.h:185
gtsam::tol
const G double tol
Definition: Group.h:79
Conditional.h
Base class for conditional densities.
gtsam::Key
std::uint64_t Key
Integer nonlinear key type.
Definition: types.h:97
DecisionTreeFactor.h
choose
static const T & choose(int layout, const T &col, const T &row)
Definition: cxx11_tensor_block_access.cpp:27


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