fix some is_static remnants in docstrings

docs/src/obs.md

@@ -2,10 +2,10 @@
 
 The `obs` method takes data intended as input to `fit`, `predict` or `transform`, and
 transforms it to a learner-specific form guaranteed to implement a form of observation
-access designated by the learner.  The transformed data can then passed on to the relevant
-method in place of the original input (after first resampling it, if the learner supports
-this). Using `obs` may provide performance advantages over naive workflows in some cases
-(e.g., cross-validation).
+access designated by the learner.  The transformed data can then be passed on to the
+relevant method in place of the original input (after first resampling it, if the learner
+supports this). Using `obs` may provide performance advantages over naive workflows in
+some cases (e.g., cross-validation).
 
 ```julia
 obs(learner, data) # can be passed to `fit` instead of `data`

docs/src/reference.md

@@ -106,7 +106,7 @@ generally requires overloading `Base.==` for the struct.
 	No LearnAPI.jl method is permitted to mutate a learner. In particular, one should make
 	copies of RNG hyperparameters before using them in an implementation of
 	[`fit`](@ref). (Do not make *deep* copies as this leads to wrong behavior in the case
-	of `Random.default_rng()`, which not an actual RNG but only a pointer to the task-local
+	of `Random.default_rng()`, which is not an actual RNG but only a pointer to the task-local
 	default RNG.)
 
 

src/predict_transform.jl

@@ -7,10 +7,10 @@ end
 DOC_MUTATION(op) =
     """
 
-    If [`LearnAPI.is_static(learner)`](@ref) is `true`, then `$op` may mutate it's first
-    argument (to record byproducts of the computation not naturally part of the return
-    value) but not in a way that alters the result of a subsequent call to `predict`,
-    `transform` or `inverse_transform`. See more at [`fit`](@ref).
+    If [`LearnAPI.kind_of(learner)`](@ref) is `LearnAPI.Static()`(@ref), then `$op` may
+    mutate it's first argument (to record byproducts of the computation not naturally part
+    of the return value) but not in a way that alters the result of a subsequent call to
+    `predict`, `transform` or `inverse_transform`. See more at [`fit`](@ref).
 
     """
 
@@ -83,9 +83,9 @@ See also [`fit`](@ref), [`transform`](@ref), [`inverse_transform`](@ref).
 
 # Extended help
 
-In the special case `LearnAPI.is_static(learner) == true`, it is possible that
-`predict(model, ...)` will mutate `model`, but not in a way that affects subsequent
-`predict` calls.
+In the special case If [`LearnAPI.kind_of(learner)`](@ref) is `LearnAPI.Static()`(@ref),
+it is possible that `predict(model, ...)` will mutate `model`, but not in a way that
+affects subsequent `predict` calls.
 
 # New implementations
 
@@ -151,9 +151,9 @@ or, in one step (where supported):
 W = transform(learner, X) # `fit` implied
 ```
 
-In the special case `LearnAPI.is_static(learner) == true`, it is possible that
-`transform(model, ...)` will mutate `model`, but not in a way that affects subsequent
-`transform` calls.
+In the special case If [`LearnAPI.kind_of(learner)`](@ref) is `LearnAPI.Static()`(@ref),
+it is possible that `transform(model, ...)` will mutate `model`, but not in a way that
+affects subsequent `transform` calls.
 
 See also [`fit`](@ref), [`predict`](@ref),
 [`inverse_transform`](@ref).