Anthony Blaom, PhD
Anthony Blaom, PhD
See https://github.com/JuliaAI/MLJTuning.jl/pull/183#issuecomment-1238709651
To resolve #486. Also adds a docstring to resolve https://github.com/alan-turing-institute/MLJ.jl/issues/973.
```julia julia> prob_predictor = RidgeRegressor() RidgeRegressor( lambda = 1.0, fit_intercept = true, penalize_intercept = false, scale_penalty_with_samples = true, solver = nothing) julia> point_predictor = BinaryThresholdPredictor(prob_predictor) ERROR: KeyError: key Deterministic not...
I should like to see enhancements in the MLJ ecosystem that allow models to work with out-of-memory data, and wonder if DataLoaders might be a good tool here. The main...
 The last line of code makes no reference to the previous line. I guess `shuflleobs(data)` in the last line should be something...
New to DataLoaders, so maybe missing something here. ```julia (jl_C01aMc) pkg> st Status `/private/var/folders/4n/gvbmlhdc8xj973001s6vdyw00000gq/T/jl_C01aMc/Project.toml` [2e981812] DataLoaders v0.1.2 julia> x = rand(3, 20); julia> batches = DataLoader(x, 2, collate=false, partial=false); julia>...
This repo is behind on compat updates, and CompatHelper has also gone into hibernation, which means there are probably others. This is preventing newer versions of MLJ to be used...
I'm guessing that the example below failures because you assume the target is a categorical vector whose "raw" type is `Bool`. However, it could be any type (in this case...
It would be nice if one could use the measures provided here in MLJ performance evaluation and elsewhere. This means implementing the API documented [here](https://alan-turing-institute.github.io/MLJ.jl/dev/performance_measures/#Traits-and-custom-measures-1), which does not appear to...
That's quite cool how you use the learning network stuff to create the wrappers! I've made some minor corrections on a fork: https://github.com/ablaom/MLJFair.jl/pull/2/commits/d7f1d5c995a5479bdc2c3b0b9a83fe0fefc14a9b - mostly with regard to MLJBase 0.14...