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Make tests more verbose to increase test coverage #3

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Merged
merged 2 commits into from
Feb 6, 2025
Merged

Make tests more verbose to increase test coverage #3

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ba98bee
make tests more verbose to increase test coverage
ablaom Feb 6, 2025
0855b33
get codecov to ignore gradient_descent.jl
ablaom Feb 6, 2025
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3 changes: 2 additions & 1 deletion .github/codecov.yml
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Original file line number Diff line number Diff line change
@@ -1,5 +1,6 @@
coverage:
status:
ignore:
- "src/learners/gradient_descent.jl"
project:
default:
threshold: 0.5%
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2 changes: 1 addition & 1 deletion test/learners/dimension_reduction.jl
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Expand Up @@ -11,7 +11,7 @@ U, Vt = r.U, r.Vt
X = U*diagm([1, 2, 3, 0.01, 0.01])*Vt

learner = LearnTestAPI.TruncatedSVD(codim=2)
@testapi learner X verbosity=0
@testapi learner X verbosity=1

@testset "extra test for truncated SVD" begin
model = @test_logs(
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2 changes: 1 addition & 1 deletion test/learners/ensembling.jl
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Expand Up @@ -25,7 +25,7 @@ Xtest = Tables.subset(X, test)
rng = StableRNG(123)
atom = LearnTestAPI.Ridge()
learner = LearnTestAPI.Ensemble(atom; n=4, rng)
@testapi learner data verbosity=0
@testapi learner data verbosity=1

@testset "extra tests for ensemble" begin
@test LearnAPI.clone(learner) == learner
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4 changes: 2 additions & 2 deletions test/learners/regression.jl
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Expand Up @@ -20,7 +20,7 @@ data = (X, y)
# # RIDGE

learner = LearnTestAPI.Ridge(lambda=0.5)
@testapi learner data verbosity=0
@testapi learner data verbosity=1

@testset "extra tests for ridge regression" begin
@test :(LearnAPI.obs) in LearnAPI.functions(learner)
Expand Down Expand Up @@ -82,7 +82,7 @@ end
# # BABY RIDGE

learner = LearnTestAPI.BabyRidge(lambda=0.5)
@testapi learner data verbosity=0
@testapi learner data verbosity=1

@testset "extra tests for baby ridge" begin
model = fit(learner, Tables.subset(X, train), y[train]; verbosity=0)
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4 changes: 2 additions & 2 deletions test/learners/static_algorithms.jl
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Expand Up @@ -9,7 +9,7 @@ import DataFrames

learner = LearnTestAPI.Selector(names=[:x, :w])
X = DataFrames.DataFrame(rand(3, 4), [:x, :y, :z, :w])
@testapi learner X verbosity=0
@testapi learner X verbosity=1

@testset "test a static transformer" begin
model = fit(learner) # no data arguments!
Expand All @@ -23,7 +23,7 @@ end

learner = LearnTestAPI.FancySelector(names=[:x, :w])
X = DataFrames.DataFrame(rand(3, 4), [:x, :y, :z, :w])
@testapi learner X verbosity=0
@testapi learner X verbosity=1

@testset "test a variation that reports byproducts" begin
model = fit(learner) # no data arguments!
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