Comments (1)
Fixed by making compiler support optional parameter for distributions without parameter.
from turing.jl.
Related Issues (20)
- Implementing `adtype` for closely linked "external" samplers / adding metric warm-up HOT 2
- Constrained or partitioned inference for Turing models.
- Compat issue HOT 13
- missing keyword arguments not property processed HOT 5
- Enable Aqua.test_ambiguities
- Progress reporting in parallel sampling HOT 3
- Using @distributed to accelerate but getting wrong results
- Mode estimation's support of Pathfinder integration HOT 5
- Docs on SGHMC / SGLD? HOT 4
- Failing in precompiling dependencies HOT 2
- AbstractMCMC docs page out of date HOT 1
- Attempt fixing `bnn` tests in Ezyme PR HOT 3
- Make MLE and MAP more robust HOT 6
- Depreciate MCMC-interface code in favour of `AbstractMCMC`.
- Fix code test coverage HOT 1
- preallocating an array of random variables, getting `varname As used multiple times in model (subsumes As[1])` HOT 1
- maximum_likelihood function not found in Turing.jl HOT 4
- Allow for a named tuple for `initial_params` HOT 13
- Using the score function estimator as gradient for VI HOT 9
- Import style and modularisation HOT 9
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from turing.jl.