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JackDunnNZ avatar JackDunnNZ commented on June 11, 2024

It looks like the method that supports the string-vector input is this one:

GLMNet.jl/src/Multinomial.jl

Lines 191 to 203 in 8eff4c4

function glmnet(X::AbstractMatrix, y; kw...)
lev = sort(unique(y))
if length(lev) >= 2
y = convert(Matrix{Float64}, [i == j for i in y, j in lev])
if length(lev) == 2
glmnet(X, y, Binomial(); kw...)
else
glmnet(X, y, Multinomial(); kw...)
end
else
error("y has only one level.")
end
end

So this works:

using GLMNet
y = ["M", "B", "M", "B"]
X = rand(4, 10)
glmnet(X, y)

The reason it doesn't need a distribution is because it chooses between Binomial and Multinomial based on the number of unique values in y. This method could probably be extended to support passing a distribution, and I guess throwing an error if the distribution and y are incompatible.

At the very least the README should be updated

from glmnet.jl.

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