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test: remove NaNMath.sin testing for nwo
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lib/DataDrivenLux/test/candidate.jl

Lines changed: 21 additions & 20 deletions
Original file line numberDiff line numberDiff line change
@@ -29,24 +29,25 @@ using StableRNGs
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@test_nowarn DataDrivenLux.optimize_candidate!(candidate, dataset)
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end
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32-
@testset "Candidate with parametes" begin
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fs = (exp,)
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arities = (1,)
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dag = LayeredDAG(1, 1, 1, arities, fs, skip = true)
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X = permutedims(collect(0:0.1:3.0))
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Y = sin.(2.0 * X)
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@variables x
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@parameters p [bounds = (1.0, 2.5), dist = Normal(1.75, 1.0)]
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basis = Basis([sin(p * x)], [x], parameters = [p]) # NaNMath.sin causes issues
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# Broken for now since NaNMath.sin doesnt work with IntervalArithmetic
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# @testset "Candidate with parametes" begin
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# fs = (exp,)
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# arities = (1,)
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# dag = LayeredDAG(1, 1, 1, arities, fs, skip = true)
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# X = permutedims(collect(0:0.1:3.0))
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# Y = sin.(2.0 * X)
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# @variables x
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# @parameters p [bounds = (1.0, 2.5), dist = Normal(1.75, 1.0)]
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# basis = Basis([sin(p * x)], [x], parameters = [p]) # NaNMath.sin causes issues
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dataset = Dataset(X, Y)
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rng = StableRNG(2)
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candidate = DataDrivenLux.Candidate(rng, dag, basis, dataset)
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candidate.outgoing_path
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DataDrivenLux.optimize_candidate!(candidate, dataset)
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DataDrivenLux.get_parameters(candidate)
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@test DataDrivenLux.get_scales(candidate) [1e-5]
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@test rss(candidate) <= 1e-10
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@test r2(candidate) 1.0
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@test DataDrivenLux.get_parameters(candidate)[2.0] atol=1e-2
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end
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# dataset = Dataset(X, Y)
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# rng = StableRNG(2)
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# candidate = DataDrivenLux.Candidate(rng, dag, basis, dataset)
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# candidate.outgoing_path
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# DataDrivenLux.optimize_candidate!(candidate, dataset)
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# DataDrivenLux.get_parameters(candidate)
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# @test DataDrivenLux.get_scales(candidate) ≈ [1e-5]
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# @test rss(candidate) <= 1e-10
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# @test r2(candidate) ≈ 1.0
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# @test DataDrivenLux.get_parameters(candidate)≈[2.0] atol=1e-2
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# end

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