Comments (2)
I'd support adding an interface for this package. I'm not too familiar with it, and it has not been requested before. Perhaps open an issue request at MixedModels.jl, to see if there is interest on their side. I can provide guidance on the API but don't have the bandwidth now to write a full blown interface. My initial suggestion is closely model the one for GLM.jl, which lives at MLJGLMInterface.jl.
There does seem some overlap with GLM.jl, and maybe MLJLinearModels.jl, which are supported. Perhaps these meet your immediate needs, @schlichtanders?
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Thank you for your help.
I have no immediate need to include both packages. I just saw that both are actively maintained and rather large, so that a synergy would be nice. I opened the Feature request at MixedModels.jl 👍
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Related Issues (20)
- Document how to add plot recipes in a new model implementation HOT 4
- Add new model descriptors to fix doc-generation fail HOT 1
- Models that fail integration tests but defy isolation
- Update list of BetaML models HOT 1
- Reinstate CatBoost integraton test HOT 1
- Upate ROADMAP.md HOT 1
- Improve documentation by additional hierarchy HOT 5
- Deserialisation fails for wrappers like `TunedModel` when atomic model overloads `save/restore` HOT 2
- feature_importances for Pipeline including XGBoost don't work HOT 2
- Current performance evaluation objects, recently added to TunedModel histories, are too big HOT 2
- Update cheat sheet instance of depracated `@from_network` code
- Requesting better exposure to MLJFlux in the model browser HOT 4
- Reexport `CompactPerformanceEvaluation` and `InSample`
- Remove `info(rms)` from the cheatsheet HOT 4
- Re-instate integration tests for scikit-learn models
- [tracking] Add default logger to MLJ
- Enable entry of model wrappers into the MLJ Model Registry
- Link in examples on CV Recursive Feature Elimination into the manual or in the planned tutorial interface. HOT 1
- broken link for UnivariateFinite doc string
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