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MLJ has most models from ScikitLearn, but I believe it's missing neural networks:
https://scikit-learn.org/stable/modules/neural_networks_supervised.html
It would be really awesome to add these mo…
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Apart from the fact that packages need to implement MLJ's API to be used in MLJ. They also need to ensure that that their code is thread safe otherwise things break.
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Can we please tag the latest release with changes made in #50?
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```julia
using MLJ
model = @load RandomForestClassifier pkg=ScikitLearn
data = load_iris()
y, X = unpack(data, ==(:target), n->true, rng=1234)
mach = machine(model, X, y) |> fit!
MLJ.save(…
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I am not certain whether this is a Julia bug or something you need to fix here, but I think it's probably something you need to fix here. In any case I thought I should report it. I detected it in htt…
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Another missed FFI method `LGBM_BoosterRefit`
https://lightgbm.readthedocs.io/en/latest/C-API.html#c.LGBM_BoosterRefit
LightGBM Supports it, MLJ likes to know about methods supporting it, this w…
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https://github.com/alan-turing-institute/MLJ.jl/issues/744#issuecomment-786746319
See also this comment: "A quirk of submodules and evaluation scopes makes it necessary to load this submodule in th…
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It would be really nice to have a machine-learning Julia landing page. I will try to take a stab at this sometime soon.
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https://github.com/mljs/xsadd
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**Describe the bug**
I want to optimize the hyperparameters of a simple pipeline. According to the [MLJ docs](https://alan-turing-institute.github.io/MLJ.jl/dev/tuning_models/#Tuning-multiple-neste…