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undo accidental rename

release/4.3a0
Varun Agrawal 2024-09-18 18:19:24 -04:00
parent b895e64810
commit 987ecd4a07
1 changed files with 6 additions and 7 deletions
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13
gtsam/hybrid/tests/testHybridGaussianFactor.cpp
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@ -221,9 +221,8 @@ double prob_m_z(double mu0, double mu1, double sigma0, double sigma1,
return 1 / (1 + e); return 1 / (1 + e);
}; };
static HybridBayesNet GetHybridGaussianConditionalModel(double mu0, double mu1, static HybridBayesNet GetGaussianMixtureModel(double mu0, double mu1,
double sigma0, double sigma0, double sigma1) {
double sigma1) {
DiscreteKey m(M(0), 2); DiscreteKey m(M(0), 2);
Key z = Z(0); Key z = Z(0);
@ -258,7 +257,7 @@ static HybridBayesNet GetHybridGaussianConditionalModel(double mu0, double mu1,
* The resulting factor graph should eliminate to a Bayes net * The resulting factor graph should eliminate to a Bayes net
* which represents a sigmoid function. * which represents a sigmoid function.
*/ */
TEST(HybridGaussianFactor, HybridGaussianConditionalModel) { TEST(HybridGaussianFactor, GaussianMixtureModel) {
using namespace test_gmm; using namespace test_gmm;
double mu0 = 1.0, mu1 = 3.0; double mu0 = 1.0, mu1 = 3.0;
@ -267,7 +266,7 @@ TEST(HybridGaussianFactor, HybridGaussianConditionalModel) {
DiscreteKey m(M(0), 2); DiscreteKey m(M(0), 2);
Key z = Z(0); Key z = Z(0);
auto hbn = GetHybridGaussianConditionalModel(mu0, mu1, sigma, sigma); auto hbn = GetGaussianMixtureModel(mu0, mu1, sigma, sigma);
// The result should be a sigmoid. // The result should be a sigmoid.
// So should be P(m=1|z) = 0.5 at z=3.0 - 1.0=2.0 // So should be P(m=1|z) = 0.5 at z=3.0 - 1.0=2.0
@ -330,7 +329,7 @@ TEST(HybridGaussianFactor, HybridGaussianConditionalModel) {
* which represents a Gaussian-like function * which represents a Gaussian-like function
* where m1>m0 close to 3.1333. * where m1>m0 close to 3.1333.
*/ */
TEST(HybridGaussianFactor, HybridGaussianConditionalModel2) { TEST(HybridGaussianFactor, GaussianMixtureModel2) {
using namespace test_gmm; using namespace test_gmm;
double mu0 = 1.0, mu1 = 3.0; double mu0 = 1.0, mu1 = 3.0;
@ -339,7 +338,7 @@ TEST(HybridGaussianFactor, HybridGaussianConditionalModel2) {
DiscreteKey m(M(0), 2); DiscreteKey m(M(0), 2);
Key z = Z(0); Key z = Z(0);
auto hbn = GetHybridGaussianConditionalModel(mu0, mu1, sigma0, sigma1); auto hbn = GetGaussianMixtureModel(mu0, mu1, sigma0, sigma1);
double m1_high = 3.133, lambda = 4; double m1_high = 3.133, lambda = 4;
{ {