Anthony Blaom, PhD
Anthony Blaom, PhD
A large number of oversampling/undersampling strategies, with MLJ interfaces, are now provided by [Imbalance.jl](https://github.com/JuliaAI/Imbalance.jl), and a wrapper, `BalancedModel(model, ....)`, allowing insertion into supervised learning pipelines, is provided by [MLJBalancing.jl](https://github.com/JuliaAI/MLJBalancing.jl). Closing...
Sounds like a good idea. PR welcome :wink:
The only optimization that is a core part of MLJ is MLJTuning, but that currently applies only to supervised models. Thanks for the offer of help! I'm somewhat embarrassed to...
I see in other threads you have been considering using MLJTuning.jl for optimization. I think this is probably overkill, and will require you to formulate the problem as a supervised...
| Hmm, that's surprising. I didn't know MLJTuning.jl only supported supervised models. Minor correction. MLJTuning also supports (possibly unsupervised) outlier detection models. I guess, in principle, it supports any model...
A user ran into this [recently](https://github.com/JuliaAI/Imbalance.jl/issues/83). Could we have a review please?
Related to my comment: [LearnAPI.jl proposal](https://github.com/JuliaAI/LearnAPI.jl).
Can we please make those Pkg.update -> Pkg.instantiate replacements?
@EssamWisam The tutorial DRAFT-EX-creditfraud was never a live tutorial, but an abandoned work-in-progress. Seems a shame not to bring it in, so I am working on a separate PR to...
I've finished off the credit fraud tutorial: https://github.com/JuliaAI/DataScienceTutorials.jl/pull/196