Merge pull request #509 from alan-turing-institute/patch

Bump [compat] MLJModelInterface = "^0.4"; rm redundant exports

Project.toml

@@ -1,7 +1,7 @@
 name = "MLJBase"
 uuid = "a7f614a8-145f-11e9-1d2a-a57a1082229d"
 authors = ["Anthony D. Blaom <[email protected]>"]
-version = "0.17.0"
+version = "0.17.1"
 
 [deps]
 CategoricalArrays = "324d7699-5711-5eae-9e2f-1d82baa6b597"
@@ -39,7 +39,7 @@ InvertedIndices = "^1"
 JLSO = "^2.1,^2.2"
 JSON = "^0.21"
 LossFunctions = "0.5, 0.6"
-MLJModelInterface = "^0.3.8,^0.4"
+MLJModelInterface = "^0.4"
 MLJScientificTypes = "^0.4.1"
 Missings = "^0.4"
 OrderedCollections = "^1.1"

src/MLJBase.jl

@@ -81,6 +81,7 @@ using StatisticalTraits
 for trait in StatisticalTraits.TRAITS
     eval(:(export $trait))
 end
+export implemented_methods # defined here and not in StatisticalTraits
 
 # MLJ model hierarchy
 export MLJType, Model, Supervised, Unsupervised,
@@ -105,15 +106,6 @@ export fit, update, update_data, transform, inverse_transform,
     predict_mode, predict_mean, predict_median, predict_joint,
     evaluate, clean!
 
-# model traits
-export input_scitype, output_scitype, target_scitype,
-    is_pure_julia, package_name, package_license,
-    load_path, package_uuid, package_url,
-    is_wrapper, supports_weights, supports_online,
-    docstring, name, is_supervised,
-    prediction_type, implemented_methods, hyperparameters,
-    hyperparameter_types, hyperparameter_ranges
-
 # data operations
 export matrix, int, classes, decoder, table,
     nrows, selectrows, selectcols, select