HybridFactorGraph base class and other niceties #1221
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…ass of HybridFactor
Nonlinear Hybrid
Linear HybridBayesNet optimization
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CI is failing |
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That's because of the Ubuntu 18.04 brownout. Should work now. |
ProfFan
reviewed
Aug 22, 2022
| TestResult tr; | ||
| return TestRegistry::runAllTests(tr); | ||
| } | ||
| /* ************************************************************************* */ |
ProfFan
approved these changes
Aug 22, 2022
| using Base::add; | ||
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| /// Add a discrete conditional to the Bayes Net. | ||
| void add(const DiscreteKey &key, const std::string &table) { |
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I am not in favor of more helpers, do we have similar stuff in DiscreteBayesNet?
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We'll need this since we need to wrap the DiscreteConditional into a HybridConditional.
| TestResult tr; | ||
| return TestRegistry::runAllTests(tr); | ||
| } | ||
| /* ************************************************************************* */ |
Hybrid Pruning
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Made
HybridFactorGrapha base class forHybridGaussianFactorGraphand forHybridNonlinearFactorGraphwhich will be added in a later PR. This way, the code is more DRY and mirrors the inheritance structure of the[Nonlinear|Gaussian]FactorGraphclasses.Refactored tests for
HybridGaussianFactorGraphto make them much more descriptive and to actually test things.Also added tests and improvements to
HybridBayesNet.