diff --git a/Project.toml b/Project.toml
index 65fea1f..6b552d1 100644
--- a/Project.toml
+++ b/Project.toml
@@ -1,7 +1,7 @@
 name = "MLJModelInterface"
 uuid = "e80e1ace-859a-464e-9ed9-23947d8ae3ea"
 authors = ["Thibaut Lienart and Anthony Blaom"]
-version = "1.12.0"
+version = "1.12.1"
 
 [deps]
 InteractiveUtils = "b77e0a4c-d291-57a0-90e8-8db25a27a240"
@@ -12,7 +12,7 @@ StatisticalTraits = "64bff920-2084-43da-a3e6-9bb72801c0c9"
 
 [compat]
 Aqua = "0.8"
-CategoricalArrays = "0.10"
+CategoricalArrays = "0.10, 1"
 DataFrames = "1"
 Distances = "0.10"
 InteractiveUtils = "<0.0.1, 1"
diff --git a/docs/src/fitting_distributions.md b/docs/src/fitting_distributions.md
index 38bfcfe..863c126 100644
--- a/docs/src/fitting_distributions.md
+++ b/docs/src/fitting_distributions.md
@@ -11,10 +11,11 @@ and `X = nothing`.
 
 The `predict` method should return a single distribution.
 
-A working implementation of a model that fits a `UnivariateFinite`
-distribution to some categorical data using [Laplace
-smoothing](https://en.wikipedia.org/wiki/Additive_smoothing)
-controlled by a hyperparameter `alpha` is given
-[here](https://github.com/JuliaAI/MLJBase.jl/blob/d377bee1198ec179a4ade191c11fef583854af4a/test/interface/model_api.jl#L36).
+A working implementation of a model that fits a `UnivariateFinite` distribution to some
+categorical data using [Laplace
+smoothing](https://en.wikipedia.org/wiki/Additive_smoothing) controlled by a
+hyperparameter `alpha` is given in [MLJBase
+tests](https://github.com/JuliaAI/MLJBase.jl/blob/dev/test/resampling.jl); try
+[here](https://github.com/JuliaAI/MLJBase.jl/blob/203aae371f67ed639685aa4803e150ff69f0fa49/test/resampling.jl#L1050).