MLJTutorial.jl
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Notebooks for introducing the machine learning toolbox MLJ (Machine Learning in Julia)
This pull request changes the compat entry for the `Pluto` package from `0.17` to `0.17, 0.19`. This keeps the compat entries for earlier versions. Note: I have not tested your...
This pull request changes the compat entry for the `Pluto` package from `0.17` to `0.17, 0.18`. This keeps the compat entries for earlier versions. Note: I have not tested your...
In part 04 of the tutorial, in section '*The tuning wrapper*' there is a `predict` statement applied to the tuned model/machine: `predict(tuned_mach, rows = 1:3)` To me it is not...
@roland-KA has notices that `misclassification_rate` is occassionially zero, which might confuse some users. Perhaps consider a reproducible model (this one uses Flux `dropout` which cannot be passed an RNG at...
https://github.com/ablaom/MLJTutorial.jl/issues/39
I am new to Julia, which implies that I am stymied by what follows. Any suggestions on how to fix this would be welcome. julia> using Pkg julia> Pkg.develop(url="https://github.com/ablaom/MLJTutorial.jl") Cloning...