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### Code suggestions
* `num_features_and_observations` can just be `reverse(size(X))` and the other one `size(X)`, also given how you use it, it's probably best to just use `size` itself but YO…
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relevant discussions:
- https://github.com/alan-turing-institute/MLJ.jl/issues/60#issuecomment-572517203
- [MLJTime](https://github.com/alan-turing-institute/MLJTime.jl) & https://github.com/alan-tu…
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## Issues/Comments
1. On the title page, under the boxed text the starts with "Amend", in the first sentence, remove the underline bold text "some text".
2. On title page, change "General informat…
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```
julia> enet = ElasticNetRegression()
GeneralizedLinearRegression{L2Loss, CompositePenalty}
loss: L2Loss L2Loss()
penalty: CompositePenalty
fit_intercept: Bool true
penalize_intercept…
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Currently `ACEfit.jl` does not support hyper parameter optimization. Given what we have in https://github.com/alan-turing-institute/MLJ.jl.git and https://github.com/JuliaAI/MLJTuning.jl maybe we can …
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When I search for a track, Maloja sends a request to
`https:///api/search?max=5&query=a`
It returns a 308 to
`http:///apis/mlj_1/search?max=5&query=a`
And that returns a 301 to
`https:///apis/mlj…
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- One or more for the MLJ motto that appears in the footer (e.g., A package for elegant and generic machine learning)
- One or more for the model's page (e.g., Over 180 Machine Learning Models...At Y…
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Really cool package, looking forward to taking it for a spin.
Would be great to interface with statsmodels.jl for an additional R style model fitting API.
Also a connection to MLJ would b…
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It would be nice if one could use the measures provided here in MLJ performance evaluation and elsewhere. This means implementing the API documented [here](https://alan-turing-institute.github.io/MLJ.…
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Providing here a code review with a view to registering the OneRule.jl model with MLJ.
@roland-KA Thanks for taking the time to wrap your head around the MLJ model interface. I realize this is a bi…