Comments (7)
simonbyrne
commented on June 18, 2024
1
I'm afraid I don't have the bandwidth to contribute to this repository for the forseeable future. @tpapp and @tlnagy I've added you as collaborators, please do as you see fit.
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tpapp
commented on June 18, 2024
Could also help with #66.
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tpapp
commented on June 18, 2024
Bump --- can anyone clarify this?
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tpapp
commented on June 18, 2024
@simonbyrne , can you help me with this? Again, I just need a decision on what would be preferred, happy to make the PR.
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tlnagy
commented on June 18, 2024
This package would benefit greatly from these accessors and a tutorial. I would prefer to have documented functions for access to prevent breakage if internals get moved around.
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tpapp
commented on June 18, 2024
@simonbyrne, are you sure you added me as a collaborator? I don't seem to have access rights. In any case, I will just fork in the meantime.
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simonbyrne
commented on June 18, 2024
Yes, check https://github.com/JuliaStats/KernelDensity.jl/invitations
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Related Issues (20)
- Lazy evaluation KDE HOT 2
- support sample weights HOT 2
- High Dimensional Kernel Estimation - Tensor Train Estimation HOT 1
- ArgumentError: reducing over an empty collection is not allowed HOT 7
- kde on Vector{Date}
- DocStringsExtensions v0.9 HOT 3
- which is x and which is y?
- Error: Error during loading of extension ChainRulesCoreExt of LogExpFunctions, use `Base.retry_load_extensions()` to retry. HOT 2
- No more type aliases in StatsBase HOT 1
- why permutedims?
- Interface of KernelDensity.pdf is not consistent with Distributions.pdf HOT 3
- drop Optim? HOT 2
- new method: fastKDE HOT 1
- Bivariate pdf call for list of values
- TagBot trigger issue HOT 8
- Borrow some ideas from GetDist Python package
- Add and subtract kerneldensities HOT 3
- Re-scale data before performing bivariate KDE
- Multivariate KDE support HOT 1
- Replace Juno.progress() in code HOT 1
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