RAPIDS.jl
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An unofficial Julia wrapper for the RAPIDS.ai ecosystem using PythonCall.jl
One possible approach is to take the [Pandas.jl](https://github.com/JuliaPy/Pandas.jl) interface
MWE (`test_rapids.jl`): ```julia using CSV using DataFrames using RAPIDS csvpath = "./metadata.csv" @info "Generate dummy data" X = randn(100000, 5) df = DataFrame(X, :auto) CSV.write(csvpath, df) @info "Read the data"...
Further to https://github.com/JuliaAI/MLJModels.jl/issues/454, I have been asked to provide feedback on the implementation of the [MLJ model interface](https://alan-turing-institute.github.io/MLJ.jl/dev/adding_models_for_general_use/#Adding-Models-for-General-Use) package for models provided by RAPIDS.jl, with a view to registering the...