Generalize pointmasses for abstractarray #19
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bvdmitri
reviewed
Aug 12, 2024
src/densities/pointmass.jl
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| function Base.precision(distribution::PointMass{V}) where {T<:Real,V<:AbstractVector{T}} | ||
| return one(T) ./ cov(distribution) | ||
| function BayesBase.cov(distribution::PointMass{M}) where {T<:Real,N,M<:AbstractArray{T,N}} | ||
| return error("cov(::PointMass{ <: AbstractMatrix }) is not defined") |
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The error mentions AbstractMatrix, but accepts arbitrary AbstractArray
bvdmitri
reviewed
Aug 12, 2024
src/densities/pointmass.jl
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| function BayesBase.probvec( | ||
| distribution::PointMass{M} | ||
| ) where {T<:Real,N,M<:AbstractArray{T,N}} | ||
| return error("probvec(::PointMass{ <: AbstractMatrix }) is not defined") |
bvdmitri
reviewed
Aug 12, 2024
|
Just as a side note, perhaps we should somehow rewrite PointMass to allow literally any object, but some may or may not support all operations, which can be determined by a trait-based system. This way we could close the #10 |
bvdmitri
approved these changes
Aug 13, 2024
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Basically what the PR title says. I'm not sure about
Base.ndimsfor vectors now. I implemented it separately now for backwards compatibility but it seems that it is only used instdandvarand can therefore also just work with the generic implementation.