Merge pull request #1165 from JuliaAI/rm-symbolic-regression-from-integration-tests

Rm symbolic regression from integration tests

Author: ablaom

Project.toml

@@ -1,7 +1,7 @@
 name = "MLJ"
 uuid = "add582a8-e3ab-11e8-2d5e-e98b27df1bc7"
 authors = ["Anthony D. Blaom <[email protected]>"]
-version = "0.20.7"
+version = "0.20.8"
 
 [deps]
 CategoricalArrays = "324d7699-5711-5eae-9e2f-1d82baa6b597"

test/integration.jl

@@ -44,15 +44,9 @@ FILTER_GIVEN_ISSUE = Dict(
             "MultiTaskLassoCVRegressor",
             "MultiTaskLassoRegressor",
         ],
-    "https://github.com/JuliaAI/FeatureSelection.jl/issues/15" =>
-        model -> model.package_name == "FeatureSelection" &&
-        model.name == "RecursiveFeatureElimination",
     "https://github.com/sylvaticus/BetaML.jl/issues/75" =>
         model -> model.package_name == "BetaML" &&
         model.name == "NeuralNetworkClassifier",
-    "https://github.com/MilesCranmer/SymbolicRegression.jl/issues/390" =>
-        model -> model.package_name == "SymbolicRegression" &&
-        model.name == "SRRegressor",
     # "https://github.com/JuliaAI/Imbalance.jl/issues/103" =>
     #     model -> model.package_name == "Imbalance",
 )
@@ -140,7 +134,8 @@ for model in WITHOUT_DATASETS
 end
 
 # Additionally exclude some models for which the inferred datasets have a model-specific
-# pathology that prevents valid generic test.
+# pathology that prevents valid generic test, or for some other reason requiring complete
+# exclusion from testing.
 
 PATHOLOGIES = filter(MODELS) do model
     # in the subsampling occuring in stacking, we get a Cholesky
@@ -156,10 +151,8 @@ PATHOLOGIES = filter(MODELS) do model
         (model.name == "LOCIDetector" && model.package_name == "OutlierDetectionPython") ||
         # TO REDUCE TESTING TIME
         model.package_name == "MLJScikitLearnInterface" ||
-        # can be removed after resolution of
-        # https://github.com/JuliaAI/FeatureSelection.jl/issues/15
-        # and a Model Registry update
-        model.name == "RecursiveFeatureElimination"
+        # "https://github.com/MilesCranmer/SymbolicRegression.jl/issues/390" =>
+        model.package_name == "SymbolicRegression"
 end
 
 WITHOUT_DATASETS = vcat(WITHOUT_DATASETS, PATHOLOGIES)