@@ -6,15 +6,15 @@ using TensorInference
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@testset " UAI Reference Solution Comparison" begin
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problems = dataset_from_artifact (" uai2014" )[" PR" ]
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problem_sets = [
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- # ("Alchemy", TreeSA(ntrials = 1, niters = 5, βs = 0.1:0.1:100)), # fails
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+ # ("Alchemy", TreeSA(ntrials = 1, niters = 5, βs = 0.1:0.1:100)),
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# ("CSP", TreeSA(ntrials = 1, niters = 5, βs = 0.1:0.1:100)),
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# ("DBN", KaHyParBipartite(sc_target = 25)),
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- # ("Grids", TreeSA(ntrials = 1, niters = 5, βs = 0.1:0.1:100)), # fails
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- # ("linkage", TreeSA(ntrials = 3, niters = 20, βs = 0.1:0.1:40)), # fails
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+ # ("Grids", TreeSA(ntrials = 1, niters = 5, βs = 0.1:0.1:100)),
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+ # ("linkage", TreeSA(ntrials = 3, niters = 20, βs = 0.1:0.1:40)),
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# ("ObjectDetection", TreeSA(ntrials = 1, niters = 5, βs = 1:0.1:100)),
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(" Pedigree" , TreeSA (ntrials = 1 , niters = 5 , βs = 0.1 : 0.1 : 100 )),
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# ("Promedus", TreeSA(ntrials = 1, niters = 5, βs = 0.1:0.1:100)),
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- # ("relational", TreeSA(ntrials=1, niters=5, βs=0.1:0.1:100)), # fails
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+ # ("relational", TreeSA(ntrials=1, niters=5, βs=0.1:0.1:100)), tw too large
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(" Segmentation" , TreeSA (ntrials = 1 , niters = 5 , βs = 0.1 : 0.1 : 100 ))
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]
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for (problem_set_name, optimizer) in problem_sets
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