Merge pull request #196 from JuliaAI/dev

For a 1.9.6 release

Project.toml

@@ -1,7 +1,7 @@
 name = "MLJModelInterface"
 uuid = "e80e1ace-859a-464e-9ed9-23947d8ae3ea"
 authors = ["Thibaut Lienart and Anthony Blaom"]
-version = "1.9.5"
+version = "1.9.6"
 
 [deps]
 Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"

README.md

@@ -9,11 +9,11 @@ machine learning models into
 | :-----------: | :------: |
 | [![Build Status](https://github.com/JuliaAI/MLJModelInterface.jl/workflows/CI/badge.svg)](https://github.com/JuliaAI/MLJModelInterface.jl/actions) | [![codecov.io](http://codecov.io/github/JuliaAI/MLJModelInterface.jl/coverage.svg?branch=master)](http://codecov.io/github/JuliaAI/MLJModelInterface.jl?branch=master) |
 
-[![Stable](https://img.shields.io/badge/docs-stable-blue.svg)](https://juliaai.github.io/MLJModelInterface.jl/stable/)
+[![Stable](https://img.shields.io/badge/docs-stable-blue.svg)](https://juliaai.github.io/MLJModelInterface.jl/dev/)
 
 
 [MLJ](https://alan-turing-institute.github.io/MLJ.jl/dev/) is a framework for evaluating,
 combining and optimizing machine learning models in Julia. A third party package wanting
 to integrate their machine learning models into MLJ must import the module
 `MLJModelInterface` defined in this package, as described in the
-[documentation]((https://juliaai.github.io/MLJModelInterface.jl/stable/).
+[documentation](https://juliaai.github.io/MLJModelInterface.jl/dev/).

src/model_traits.jl

@@ -59,7 +59,7 @@ function supervised_fit_data_scitype(M)
         W = AbstractVector{<:Union{Continuous, Count}} # weight scitype
         return Union{ret, Tuple{I, T, W}}
     elseif supports_class_weights(M)
-        W = AbstractDict{Finite, <:Union{Continuous, Count}}
+        W = Any
         return Union{ret, Tuple{I, T, W}}
     end
     return ret