Comments (4)
I actually had a branch lying around with implementations for this:) But I didn't make it into a PR yet as it's slightly unclear to me whether or not params
should return the parameters of the underlying distribution, i.e. params(td.dist)
, or if it should also include parameters for the Bijector
. If so, there's a fair bit of work and planning that needs to go into it. But, if users expect params
to return only the parameters of the distribution, then this is no problem (see #86)
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Closing as the PR was merged.
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Same for params()
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That's a good point about params.
I think including the transformation params would be best (Ideally in a "flat" way, e.g. (mu, sigma, transformationstuff...)
as opposed to ((mu, sigma...), (transformationstuf...))
. But shouldn't be a showstopper IMO.
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Related Issues (20)
- TransformVariables-like example? HOT 6
- Support InverseFunctions.jl and ChangesOfVariables.jl HOT 65
- MethodError: no method matching `(::Inverse)...`
- Zygote error differentiating `Coupling` HOT 4
- `PlanarLayer` broken in 0.9.9 HOT 17
- OrderedBijector gives surprising results HOT 13
- Road to DensityInterface? HOT 11
- Rewrite: what do we want
- Fitting normalizing flow HOT 2
- Matrix Variate Bijectors - Lower/Uppertriangular transforms
- Zygote AD & `logpdf` for transformed multivariate
- `Bijectors.ordered(d)` is incorrect if `bijector(d)` is not `Identity` HOT 1
- Adding support for FunctionChains.jl? HOT 9
- Problem compiling an app with Turing
- MethodError: no method matching bijector(::MixtureModel{Multivariate, Continuous, MvNormal, Float64}) HOT 1
- CorrBijector makes posterior improper HOT 7
- SimplexBijector tests fails on boundary
- Remove heavy usage of `@generated`
- Questions on custom bijectors HOT 1
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