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You can find the learning wrappers here: spn.algorithms.LearningWrappers
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On Mon 14. Sep 2020 at 14:26, YUXING HAN @.***> wrote: Description Expected behavior: Encountered behavior: Additional Information - Operating System: - Python Version: — You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub <#88>, or unsubscribe https://github.com/notifications/unsubscribe-auth/AF7RAI5YMJOY56TQC6KI27DSFYDYLANCNFSM4RLRG7UQ .
Hi, I also have the same question. Especially, how can I find SPFlow's implementation for "Simplifying, Regularizing and Strengthening Sum-Product Network Structure Learning". I didn't see it in the LearningWrappers.
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Related Issues (20)
- Revisit Project Layout HOT 3
- Implement __str__ for nodes/modules HOT 3
- Update README
- Decide on and document versioning scheme HOT 1
- Add advanced module printing
- Modify GitHub CI Actions to exclude incompatible python/torch versions
- Implement node based layers in tensor backend
- Implement vectorized layers in tensor backend
- Implement uniform leaf node in tensor backend
- Implement categorical leaf node in tensor backend
- Figure out how to do expectation maximization (EM) with Jax's grad function
- Adopt old test code in `tests_old` to new test code in `tests`
- Ensure intermediate layer implementations work in new tensor backend
- Make marginalization RV ids to iterable of scope
- Implement poisson leaf node in tensor backend
- Port RAT-SPN to tensor API
- Add Codecov bot HOT 3
- Reevaluate if we should add Tensorflow to the tensor backend API
- Investigate test warnings HOT 1
- Fix sum node conditional sampling
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