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src/mlj/regressors.jl
@@ -104,7 +104,7 @@ See also [`ElasticNetRegressor`](@ref).
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"whether to scale the penalty with the number of observations."
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scale_penalty_with_samples::Bool = true
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"""any instance of `MLJLinearModels.Analytical`. Use `Analytical()` for
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- Cholesky and `CG()=Analytical(iteration=true)` for conjugate-gradient.
+ Cholesky and `CG()=Analytical(iterative=true)` for conjugate-gradient.
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If `solver = nothing` (default) then `Analytical()` is used. """
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solver::Option{Solver} = nothing
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end
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