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SciML / DiffEqFlux.jl / 1261
33%

Build:
DEFAULT BRANCH: master
Ran 30 Jul 2020 04:12PM UTC
Jobs 4
Files 11
Run time 29min
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Add support for Hamiltonian Neural Networks (#370)

* Add NeuralHamiltonian DE Layer

* Basic example of filling a HNN to 1D spring mass system

* Fix minor bug for using same variable names

* Add HamiltonianNN Layer

* Add example on using HNN

* Add documentation for the HNN Layer

* Add documentations for the NHDE Layer

* Add tests for HNN

* Add tests for the NeuralHamiltonian DE Layer

* Add a note asking users to use ReverseDiff for training

* Add NeuralHamiltonian DE Layer

* Basic example of filling a HNN to 1D spring mass system

* Fix minor bug for using same variable names

* Add HamiltonianNN Layer

* Add example on using HNN

* Add documentation for the HNN Layer

* Add documentations for the NHDE Layer

* Add tests for HNN

* Add tests for the NeuralHamiltonian DE Layer

* Add a note asking users to use ReverseDiff for training

* Missing p to fix the tests

299 of 426 relevant lines covered (70.19%)

1435458.02 hits per line

Jobs
ID Job ID Ran Files Coverage
1 1261.1 (GROUP=Layers) 30 Jul 2020 04:12PM UTC 0
40.47
Travis Job 1261.1
2 1261.2 (GROUP=BasicNeuralDE) 30 Jul 2020 04:35PM UTC 0
48.87
Travis Job 1261.2
3 1261.3 (GROUP=AdvancedNeuralDE) 30 Jul 2020 04:36PM UTC 0
33.11
Travis Job 1261.3
4 1261.4 (GROUP=Integration) 30 Jul 2020 04:28PM UTC 0
16.04
Travis Job 1261.4
Source Files on build 1261
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