diff --git a/docs/src/accessor_functions.md b/docs/src/accessor_functions.md
index 11ac67e0..d212ff0a 100644
--- a/docs/src/accessor_functions.md
+++ b/docs/src/accessor_functions.md
@@ -1,8 +1,9 @@
 # [Accessor Functions](@id accessor_functions)
 
-The sole argument of an accessor function is the output, `model`, of
-[`fit`](@ref). Learners are free to implement any number of these, or none of them. Only
-`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
+identity.
 
 - [`LearnAPI.learner(model)`](@ref)
 - [`LearnAPI.extras(model)`](@ref)
diff --git a/src/predict_transform.jl b/src/predict_transform.jl
index 4503973f..e6f9e265 100644
--- a/src/predict_transform.jl
+++ b/src/predict_transform.jl
@@ -99,9 +99,7 @@ implementation must be added to the list returned by
 `LearnAPI.kinds_of_proxy()`.
 
 When `predict` is implemented, it may be necessary to overload
-[`LearnAPI.features`](@ref). If `data` is not present in the implemented signature (eg.,
-for density estimators) then [`LearnAPI.features(learner, data)`](@ref) must always return
-`nothing`.
+[`LearnAPI.features`](@ref).
 
 $(DOC_IMPLEMENTED_METHODS(":(LearnAPI.predict)"))