Anthony Blaom, PhD
Anthony Blaom, PhD
`fitted_params(model, fitresult)` should return a named tuple with informative keys. Ideally, the user should not need to look up documentation to grep the results. Here's an example of a poor...
I think it would be useful (especially to R users) to have an MLJ formula-based transformer that can be inserted anywhere in an MLJ pipeline (or other composite model). Here...
Currently we wrap NaiveBayes.jl, but only allow tabular input (internally converted to matrix) which limits application to NLP and elsewhere. However NaiveBayes.jl itself supports dictionary input. There is also a...
cc @OkonSamuel
It seems there is an error that we are not catching (and ignoring) here, as the interactive part following the message works fine: ```julia using MLJ # in a new...
Posted on another thread: This package https://contrib.scikit-learn.org/category_encoders/index.html contains other useful categorical features encoders that are currently missing in MLJ. For now I ended up calling those encoders from Julia via...
Now that `load` is gone, I suggest we add interpolation support to `@load`. This is useful in programmatic loading of models (https://github.com/alan-turing-institute/MLJ.jl/issues/752). So this should work, but currently does not:...
A user is able to add such a package to their MLJ environment, even though it is useless, and the error reported when they try to @load a model from...
When optimizing the hyperparematers of some model, the user needs to choose a reasonable range of values over which to search (using a `Grid` or `RandomSearch`, say). We should like...
I think it would be useful for someone with appropriate expertise to review how the model registry is currently implemented. (I think the user interface is basically fine .) This...