Commit Graph

15103 Commits (0909c46339e0c604b0f26c8a67c7144c1358db4c)

Author SHA1 Message Date
Varun Agrawal 0909c46339
Merge pull request #1289 from borglab/fix/mixture-factor 2022-09-13 12:16:01 -04:00
Varun Agrawal 3e25e7d493
Merge pull request #1288 from borglab/misc/fixes 2022-09-13 12:15:46 -04:00
Varun Agrawal 82b70d71fa
Merge pull request #1287 from borglab/hybrid/multifrontal-fix 2022-09-13 12:15:32 -04:00
Varun Agrawal 8b5b42b6e9 Add check for MixtureFactor to ensure the continous keys are the same as in the factors 2022-09-12 18:07:53 -04:00
Varun Agrawal 8c10cd554d add todo 2022-09-03 22:36:43 -04:00
Varun Agrawal 2fe1156841 remove redunant statements 2022-09-03 22:36:19 -04:00
Varun Agrawal e5333fa331 remove nrContinuous since we don't need it 2022-09-02 21:30:24 -04:00
Varun Agrawal 9f2229fad5 remove unused blocks 2022-09-02 21:30:10 -04:00
Varun Agrawal 55d8dd3fcb
Merge pull request #1285 from borglab/re-wrap-keyvector 2022-09-02 17:42:14 -04:00
Varun Agrawal b0ba35d2bd remove unused variable in testSimilarity2 2022-09-02 15:13:24 -04:00
Varun Agrawal c7e75d2cd5 rename myJTNode to junctionTreeNode so we can better subclass ConstructorTraversalData 2022-09-02 15:12:58 -04:00
Varun Agrawal ba4720709b some name cleaning in the HybridJunctionTree 2022-09-02 15:11:49 -04:00
Varun Agrawal 773af1ed44 refactor HybridBayesTree::optimize 2022-09-02 15:04:28 -04:00
Varun Agrawal e16460358f add multifrontal test to reproduce issue 2022-09-02 15:01:59 -04:00
Varun Agrawal 30c913e0f1
Merge pull request #1286 from borglab/hybrid/serialization
Hybrid Serialization
2022-09-01 20:46:45 -04:00
Varun Agrawal 27a9d56602 move GaussianBayesNet serialization test to testSerializationLinear 2022-09-01 13:47:18 -04:00
Varun Agrawal ab017dfd19 move DiscreteKeys code to .cpp 2022-09-01 10:40:48 -04:00
Varun Agrawal c6ebbdc708 add serialization test for GaussianBayesNet 2022-09-01 00:06:29 -04:00
Varun Agrawal b16b05ea2c Make HybridBayesTree testable and add serialization 2022-09-01 00:04:19 -04:00
Varun Agrawal 8692ae63ea Make HybridBayesNet testable and add serialization 2022-09-01 00:03:55 -04:00
Varun Agrawal eb5092897b add serialization for HybridFactor and HybridConditional 2022-09-01 00:03:31 -04:00
Varun Agrawal bfb865c12e DiscreteKeys serialization 2022-09-01 00:00:06 -04:00
Varun Agrawal f42f282438 rewrap KeyVector for Matlab wrapper 2022-08-31 16:54:17 -04:00
Varun Agrawal 7c84020bbc
Merge pull request #1284 from borglab/hybrid/misc 2022-08-31 15:45:59 -04:00
Varun Agrawal 2c4866e6e6 DiscreteKeys::print method 2022-08-31 12:30:36 -04:00
Varun Agrawal f7e1d2a1d3
Merge pull request #1282 from borglab/hybrid/optimize-2 2022-08-31 12:26:42 -04:00
Varun Agrawal 5bc7d3333f wrap BayesTree::optimize 2022-08-31 12:26:29 -04:00
Varun Agrawal 4852949b75 add helpers to get different types of keys from the hybrid graph 2022-08-31 12:25:57 -04:00
Varun Agrawal fe595bf745 fix doxygen 2022-08-31 12:25:20 -04:00
Varun Agrawal ca4293b70d handle Gaussian conditionals in the BayesTree 2022-08-31 10:36:07 -04:00
Varun Agrawal 8c41f63167 rename atGaussian to atMixture and add new atGaussian for continuous conditionals, fix choose method for all types 2022-08-29 16:24:26 -04:00
Varun Agrawal 4e451d5c0b helper to return HybridConditional as GaussianConditional 2022-08-29 16:22:55 -04:00
Varun Agrawal a6b9554f3f
Merge pull request #1280 from borglab/hybrid/optimize 2022-08-29 09:27:30 -04:00
Varun Agrawal 6912d015ef assert for discrete only conditional 2022-08-29 09:26:18 -04:00
Varun Agrawal 496ddf886f fix gbn optimize everywhere for HybridBayesTree 2022-08-28 09:55:44 -04:00
Varun Agrawal f165559f91 Merge branch 'hybrid/optimize' into hybrid/optimize-2 2022-08-27 19:24:35 -04:00
Varun Agrawal 72722686ba fix issue with TBB 2022-08-27 19:23:59 -04:00
Varun Agrawal 31bbf513f4 add discrete factors to HybridBayesTree test 2022-08-27 19:23:27 -04:00
Varun Agrawal 8645ec0f25 update wrapper for HybridValues 2022-08-27 15:43:13 -04:00
Varun Agrawal 9a2387194f Merge branch 'develop' into hybrid/optimize-2 2022-08-27 15:39:33 -04:00
Fan Jiang 41b535461a
Merge pull request #1281 from borglab/feature/python_nlhg
Add wrapping for hybrid nonlinear
2022-08-27 00:11:42 -04:00
Varun Agrawal 5169b2ec30 add HybridBayesTree optimize method 2022-08-26 22:13:44 -04:00
Varun Agrawal 0edcfd4ff8 new HybridBayesNet optimize implementation 2022-08-26 19:36:11 -04:00
Varun Agrawal 9c7bf36db6 refactor HybridValues 2022-08-26 19:35:45 -04:00
Varun Agrawal 1b5daf9a0e remove HybridLookupDAG 2022-08-26 19:34:54 -04:00
Varun Agrawal 129fa68627 use Switching constructor arguments for noise covariances 2022-08-26 18:42:31 -04:00
Varun Agrawal 74bddd9582 finish HybridBayesTree test 2022-08-26 18:42:08 -04:00
Varun Agrawal 86320ff3b5 extra test for HybridBayesNet optimize 2022-08-26 16:45:44 -04:00
Fan Jiang 1bb7a00000 Add wrapping for hybrid nonlinear 2022-08-26 11:47:41 -04:00
Varun Agrawal cb2d2e678d HybridBayesTree::optimize 2022-08-26 11:36:13 -04:00