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docs/src/accessor_functions.md
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# [Accessor Functions](@id accessor_functions)
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-The sole argument of an accessor function is the output, `model`, of
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-[`fit`](@ref). Learners are free to implement any number of these, or none of them. Only
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-`LearnAPI.strip` has a fallback, namely the identity.
+The sole argument of an accessor function is the output, `model`, of [`fit`](@ref). The
+only accessor function that must be implemented for each new learner is
+[`LearnAPI.learner(model)`](@ref); [`LearnAPI.strip`](@ref) has a fallback, namely the
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+identity.
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- [`LearnAPI.learner(model)`](@ref)
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- [`LearnAPI.extras(model)`](@ref)
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