Test hybrid elimination with a simple mixture model. More...

#include <gtsam/discrete/DecisionTreeFactor.h>
#include <gtsam/discrete/DiscreteConditional.h>
#include <gtsam/discrete/DiscreteKey.h>
#include <gtsam/hybrid/HybridBayesNet.h>
#include <gtsam/hybrid/HybridGaussianConditional.h>
#include <gtsam/hybrid/HybridGaussianFactorGraph.h>
#include <gtsam/inference/Key.h>
#include <gtsam/inference/Symbol.h>
#include <gtsam/linear/GaussianConditional.h>
#include <gtsam/linear/NoiseModel.h>
#include <CppUnitLite/TestHarness.h>

Include dependency graph for testGaussianMixture.cpp:

Go to the source code of this file.

Functions
double	Gaussian (double mu, double sigma, double z)
	Gaussian density function. More...

const DiscreteKey	m (M(0), 2)

int	main ()

double	prob_m_z (double mu0, double mu1, double sigma0, double sigma1, double z)

	TEST (GaussianMixture, GaussianMixtureModel)

	TEST (GaussianMixture, GaussianMixtureModel2)

Variables
const DiscreteValues	m1Assignment {{M(0), 1}}

DiscreteConditional::shared_ptr	mixing

Detailed Description

Test hybrid elimination with a simple mixture model.

Author: Varun Agrawal; Frank Dellaert

Date: September 2024

Definition in file testGaussianMixture.cpp.

Function Documentation

◆ Gaussian()

double Gaussian	(	double	mu,
		double	sigma,
		double	z
	)

Gaussian density function.

Definition at line 47 of file testGaussianMixture.cpp.

◆ m()

const DiscreteKey m	(	M(0)	,
		2
	)

◆ main()

int main ( )

Definition at line 166 of file testGaussianMixture.cpp.

◆ prob_m_z()

double prob_m_z	(	double	mu0,
		double	mu1,
		double	sigma0,
		double	sigma1,
		double	z
	)

Closed form computation of P(m=1|z). If sigma0 == sigma1, it simplifies to a sigmoid function. Hardcodes 60/40 prior on mode.

Definition at line 56 of file testGaussianMixture.cpp.

◆ TEST() [1/2]

TEST	(	GaussianMixture	,
		GaussianMixtureModel
	)

Definition at line 67 of file testGaussianMixture.cpp.

◆ TEST() [2/2]

TEST	(	GaussianMixture	,
		GaussianMixtureModel2
	)

Definition at line 111 of file testGaussianMixture.cpp.

Variable Documentation

◆ m1Assignment

const DiscreteValues m1Assignment {{M(0), 1}}

Definition at line 40 of file testGaussianMixture.cpp.

◆ mixing

DiscreteConditional::shared_ptr mixing

Initial value:

=

std::make_shared<DiscreteConditional>(m, "60/40")

Definition at line 43 of file testGaussianMixture.cpp.

Functions

Variables