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We should also compile a list of *sane* defaults for hyperparameters if defaults aren't always the best.
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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…
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`UnivariateFinite` can be overkill for e.g. simple `Bool` categories.
It looks like they could be at least 50x faster to construct using a custom struct without the `LittleDict`.
Adding a `Abst…
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Implement `predict(mod::EconometricModel, newdata::Any)`. This should help integrate with the MLJ API.
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I installed a fresh version of Julia 1.6 on my macbook.
1 installed the latest MLJ 1.6
then I tried to auto load all MLJ relevant packages
```julia
@inline function load_m(model_list)
model_…
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After some preparation and [discussion](https://github.com/alan-turing-institute/MLJ.jl/issues/901), I am announcing a new standard for MLJ model doc-strings, documented [here](https://alan-turing-in…
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According with this part
[dagshub mlflow integrations](https://dagshub.com/math4mad/mlj-test/settings/integrations)
how to fill params of headers
```Julia
mlf = MLFlow("https://dagshub.com…
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A case in point is BayesianRidgeRegressor, as pointed out at https://github.com/JuliaAI/MLJScikitLearnInterface.jl/issues/46.
Be good to first identify what other sk-learn models with MLJ implement…
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### Motivation and description
Maybe this is a more general topic for `MLJ`, not only related to `Flux`. I know that autodiff has been discussed in the past and with `MLJFlux` now being developed, I …
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Collect info about what we need to do to apply with TPS.
Sebastian from MLJ is also interested in submitting a joint application for the Turing.