Merge pull request #962 from alan-turing-institute/dev

For a 0.18.5 release

Project.toml

@@ -1,7 +1,7 @@
 name = "MLJ"
 uuid = "add582a8-e3ab-11e8-2d5e-e98b27df1bc7"
 authors = ["Anthony D. Blaom <anthony.blaom@gmail.com>"]
-version = "0.18.4"
+version = "0.18.5"
 
 [deps]
 CategoricalArrays = "324d7699-5711-5eae-9e2f-1d82baa6b597"
@@ -32,7 +32,7 @@ MLJEnsembles = "0.3"
 MLJIteration = "0.5"
 MLJModels = "0.15.5"
 MLJTuning = "0.7"
-OpenML = "0.2"
+OpenML = "0.2,0.3"
 ProgressMeter = "1.1"
 ScientificTypes = "3"
 StatsBase = "0.32,0.33"

docs/src/list_of_supported_models.md

@@ -27,7 +27,7 @@ independent assessment.
 
 | Package | Models | Maturity | Note
 | ------- | ------ | -------- | ----
-[BetaML.jl](https://github.com/sylvaticus/BetaML.jl) | DecisionTreeClassifier, DecisionTreeRegressor, GMMClusterer, KMeans, KMedoids, KernelPerceptronClassifier, MissingImputator, PegasosClassifier, PerceptronClassifier, RandomForestClassifier, RandomForestRegressor | medium |
+[BetaML.jl](https://github.com/sylvaticus/BetaML.jl) | BetaMLGMMImputer, BetaMLGMMRegressor, BetaMLGenericImputer, BetaMLMeanImputer, BetaMLRFImputer, DecisionTreeClassifier, DecisionTreeRegressor, GMMClusterer, KMeans, KMedoids, KernelPerceptronClassifier, MissingImputator, PegasosClassifier, PerceptronClassifier, RandomForestClassifier, RandomForestRegressor | medium |
 [Clustering.jl](https://github.com/JuliaStats/Clustering.jl) | KMeans, KMedoids | high | †
 [DecisionTree.jl](https://github.com/bensadeghi/DecisionTree.jl) | DecisionTreeClassifier, DecisionTreeRegressor, AdaBoostStumpClassifier, RandomForestClassifier, RandomForestRegressor | high | 
 [EvoTrees.jl](https://github.com/Evovest/EvoTrees.jl) | EvoTreeRegressor, EvoTreeClassifier, EvoTreeCount, EvoTreeGaussian | medium | gradient boosting models