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Yesterday during the call we discussed briefly that we would support a mechanism to specify class weights in MLJ.
A question was asked as to how this relates to algorithms which can work with a "…
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should return something like `"y(x) = 4.34x - 12"`
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Consider the following code:
```julia
julia> using MLJ
julia> function make_pipeline(model, name::AbstractString; drop_last=false)
@pipeline(
OneHotEncoder(drop_last…
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# Edit from @fonsp
If you are also experiencing segmentation faults with Pluto on Julia 1.7, please post it here! Be sure to provide the following info:
- a notebook file _(the smaller, the better)_…
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@dlegland triggered by the discussion on the forum (https://forum.image.sc/t/call4help-3d-dense-nuclei-segmentation-challenge/23462/21) I had a look at MLJ.
I am confused about this function: https…
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In the current version `ScientificTypes` are only used for an almost trivial [one-liner](https://github.com/JuliaAI/OpenML.jl/blob/dev/src/data.jl#L78) that one could mention in the doc-string.
@abla…
jbrea updated
2 years ago
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In #540 the issue can be summarized as follows:
- user gets data from somewhere, target has 3 classes
- user decides to drop a class in some way, doesn't adjust the levels
- target vector still …
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Using your example with the Iris dataset I'm only getting around 75% accuracy. I believe a random forest should be able to fit the Iris dataset to around 90%. Do you get the same accuracy as me? I'm c…
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https://github.com/cheminfo/nmrium/blob/a46d63ceb7ad1008b07dac13b84c57246851fd4c/src/data/data1d/Spectrum1D/ranges/detectRanges.ts#L14-L15
I think this auto range picking also works with carbon and…
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```julia
julia> model = fit(lof, X[train, :]')
ERROR: BoundsError: attempt to access 6×3772 Matrix{Float64} at index [[1, 2, 3, 4, 5, 6, 7, 8, 9, 10 … 1877, 1878, 1879, 1880, 1881, 1882, 1883, 188…