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Callbacks can be incredibly useful, e.g. TuringCallbacks.jl with TensorBoardLogging.jl integration.
However, there are many "standard" callbacks that we arguably should provide some default implementation (i.e. that have "zero" dependencies) of:
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StateHistoryCallback
: simply extracts the states from asample
call. This is useful if one wants to inspect sampler parameters, etc. that aren't necessarily part of the transitions. Ref:sample
equivalent but including states #84 - :
MultipleCallback
: a wrapper around multiple callbacks to make it easier to pass many of them. Ref: Allow multiple callbacks #80 - ???
The question is then: should these go in AbstractMCMC.jl itself, or should we put them in a separate package?
And if we're putting them in a separate package (which I also think is the best approach here), then do we put them in a package called AbstractMCMCCallbacks.jl or in the existing TuringCallbacks.jl?
Thoughts? @devmotion @yebai @sunxd3 @mhauru @penelopeysm
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