Comments (3)
xiaodaigh
commented on May 22, 2024
1
fixed by JuliaRegistries/General#6468
You should be able to install JLBoost v1.3 later today or tomorrow and have DataFrames.jl v0.20 support
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xgdgsc
commented on May 22, 2024
Thanks. MLJJLBoost also?
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xiaodaigh
commented on May 22, 2024
MLJJLBoost
See JuliaRegistries/General#6566
If no hiccup should be ready today or tomorrow.
Just a note, I am actively developing these and you may have noticed that i haven't started to market them too much yet because there are still many missing features, so I am just going to get them done before publicising. Publishing them is to make the testing and publishing process easier
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Related Issues (20)
- Work with Tables.jl
- Support Categorical Features
- Multivariate target
- Support Matrix Inputs HOT 2
- Add support for `Union{Missing, T}`
- Explain how new loss/objective functions support can be added using LossFunctions.jl
- Add support for categorical
- integrate with JDF.jl HOT 1
- implement LightGBM style one var split algorithm
- Weights per datapoint HOT 2
- "Package JLBoost does not have Tables in its dependencies" HOT 1
- Unable to install JLBoost.jl HOT 1
- GPUify `g` and `h` HOT 1
- parallel fit HOT 1
- Add implementation of NGBoost? HOT 2
- Asssess soft GBM
- monotonic constraint
- TagBot trigger issue HOT 4
- Compatiblity issues with DataFrames v1.0.0 HOT 3
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