Anthony Blaom, PhD

Not sure what the problem might be. Can you provide a MWE demonstrating that `is_same_except` is not working as you expect. I.e, some variation of this (which *is* working for...

Thanks, this helps me see the problem: ```julia julia> c = Flux.Chain(Dense(2,3)) julia> c == deepcopy(c) false ``` Unfortunately, MLJ was not designed with this kind of behaviour in mind,...

Great progress. I think your test for equality of Chains is not correct, for it will not behave as expected for nested chains, like `Chain(Chain(...), ...)` I. Rather, just apply...

Can you please provide some more detail. I don't see any problem at my end: ```julia julia> using Optimisers, Flux julia> import MLJModelInterface as MMI julia> model = NeuralNetworkClassifier(); julia>...

> Looks like the tutorial i have read to write the training loop is outdated and now Flux prefer optimisers from the Optimisers.jl package but the documentation available online is...

Happy to support your work on an MLJ interface, and thanks for your persistence.

An option is to put the labels into the output `data` of `reformat`. However, as `selectrows` will not work on such objects (needed for resampling operations, like CV), you will...

Yes,`reformat` would return an object that includes the labels, and then you would need to overload `selectrows` for that object, and also have `fit`/`update` include the labels in the `fitresult`...

I think StatisticaMeasure's `LogLoss()` (and some others, e.g, `BrierLoss()`) should work. But it looks like you are comparing a *matrix* of normal distributions with a *vector* of ground truth. Is...

And what is at `LaplaceRedux.jl\test\direct_mlj_interface.jl:12`?