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2 changes: 1 addition & 1 deletion Project.toml
Original file line number Diff line number Diff line change
@@ -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"
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15 changes: 4 additions & 11 deletions test/integration.jl
Original file line number Diff line number Diff line change
Expand Up @@ -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",
)
Expand Down Expand Up @@ -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
Expand All @@ -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)
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