New version: StochasticAD v0.1.3 #71008
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Oct 25, 2022
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- Registering package: StochasticAD
- Repository: https://github.com/gaurav-arya/StochasticAD.jl
- Created by: @gaurav-arya
- Version: v0.1.3
- Commit: d20c37a507749050bb8d101d7828eae497de5d60
- Reviewed by: @gaurav-arya
- Reference: gaurav-arya/StochasticAD.jl@d20c37a#commitcomment-87793896
- Description: Research package for automatic differentiation of programs containing discrete randomness.
UUID: e4facb34-4f7e-4bec-b153-e122c37934ac Repo: https://github.com/gaurav-arya/StochasticAD.jl.git Tree: ba703c0d70bdec93727001110413ac68a03805a8 Registrator tree SHA: 8e1a5ac2695627143951512d700c7e3c445102ec
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in gaurav-arya/StochasticAD.jl
Oct 25, 2022
* stochastic triple vector * add docstring and test * clean up test * run JuliaFormatter * Update higher level triple interfaces for vector input * Update tests for vector input * Support vector parameters to trainable models * Remove support for real parameter in stochastic model * Flip order of function and parameter in stochastic model * Switch input order in tests too * Bump version number Co-authored-by: Gaurav Arya <gauravarya272@gmail.com>
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