Give UnivariateKDE distribution-like overloads#91
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ChrisRackauckas wants to merge 1 commit intoJuliaStats:masterfrom
Open
Give UnivariateKDE distribution-like overloads#91ChrisRackauckas wants to merge 1 commit intoJuliaStats:masterfrom
ChrisRackauckas wants to merge 1 commit intoJuliaStats:masterfrom
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Upstreams SciML/SciMLExpectations.jl#41 . Allows for it to be "distribution-like". Still missing the random sampling.
agerlach
reviewed
May 4, 2021
| Base.eltype(K::UnivariateKDE) = eltype(K.density) | ||
| Base.minimum(K::UnivariateKDE) = minimum(K.x) | ||
| Base.maximum(K::UnivariateKDE) = maximum(K.x) | ||
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Any status update on getting this PR merged? |
Collaborator
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Is it actually guaranteed that the the support is zero outside the extrema of |
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Upstreams SciML/SciMLExpectations.jl#41 . Allows for it to be "distribution-like". Still missing the random sampling.