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docs/src/anatomy_of_an_implementation.md

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@@ -573,7 +573,7 @@ LearnAPI.target(learner::Ridge, data) = LearnAPI.target(learner, obs(learner, da
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Since LearnAPI.jl provides fallbacks for `obs` that simply return the unadulterated data
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argument, overloading `obs` is optional. This is provided data in publicized
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`fit`/`predict` signatures already consists only of objects implement the
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`fit`/`predict` signatures already consists only of objects implementing the
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[`LearnAPI.RandomAccess`](@ref) interface (most tables¹, arrays³, and tuples thereof).
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To opt out of supporting the MLCore.jl interface altogether, an implementation must

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