JuliaAI / JuliaAI/MLJLinearModels.jl

Expand docs to include cut and past examples for different Regressors

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Dominant language
Julia
Stars
86
Forks
15
PR merge metrics
No merged PRs in 30d

Description

I think we could reduce learning curves by including some cut and past examples for the various regressors... it would also be good to include some discussion of when one Regressor model might be more appropriate than another.

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Research direction

The issue names no files, tests, or documentation entry points; start by locating the existing regressor documentation and examples. Add copy-and-paste examples for the available regressors and explain when one model may be more appropriate than another, then verify the documentation builds and the examples are usable.

Written by the indexing model from the issue text.

Assessment

Tech stack
julia
Domain
documentation, machine-learning
Issue type
Documentation
Difficulty
3/5
Estimated time
1-2 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
35/100

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