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Add getadtype function to AbstractSampler interface #158

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Add getadtype function to AbstractSampler interface #158

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bfbf727
Add getadtype function
penelopeysm Feb 10, 2025
ae297c3
Implement two-argument version
penelopeysm Feb 12, 2025
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2 changes: 1 addition & 1 deletion Project.toml
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Expand Up @@ -3,7 +3,7 @@ uuid = "80f14c24-f653-4e6a-9b94-39d6b0f70001"
keywords = ["markov chain monte carlo", "probabilistic programming"]
license = "MIT"
desc = "A lightweight interface for common MCMC methods."
version = "5.6.1"
version = "5.7.0"

[deps]
BangBang = "198e06fe-97b7-11e9-32a5-e1d131e6ad66"
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14 changes: 14 additions & 0 deletions src/interface.jl
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Expand Up @@ -19,6 +19,20 @@ then `reduce(chainscat, c)` is called.
chainsstack(c) = c
chainsstack(c::AbstractVector{<:AbstractChains}) = reduce(chainscat, c)

"""
getadtype(s::AbstractSampler)
getadtype(m::AbstractModel, s::AbstractSampler)

Specify the `ADTypes.AbstractADType` to be used when sampling from model `m` using sampler `s`.

If the model is not relevant, then the implementation of AbstractSampler can
directly overload the single-argument method `getadtype(s::AbstractSampler)`.

By default, this returns `nothing`.
"""
getadtype(::AbstractSampler) = nothing
getadtype(::AbstractModel, spl::AbstractSampler) = getadtype(spl)

"""
bundle_samples(samples, model, sampler, state, chain_type[; kwargs...])

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