Package evaluation of SearchModels on Julia 1.13.0-DEV.985 (9c94e7ae32*) started at 2025-08-14T14:11:19.037 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 10.05s ################################################################################ # Installation # Installing SearchModels... Resolving package versions... Updating `~/.julia/environments/v1.13/Project.toml` [0e966ebe] + SearchModels v0.4.1 Updating `~/.julia/environments/v1.13/Manifest.toml` [34da2185] + Compat v4.18.0 [9a962f9c] + DataAPI v1.16.0 ⌅ [864edb3b] + DataStructures v0.18.22 [ffbed154] + DocStringExtensions v0.9.5 [92d709cd] + IrrationalConstants v0.2.4 [2ab3a3ac] + LogExpFunctions v0.3.29 [e1d29d7a] + Missings v1.2.0 [bac558e1] + OrderedCollections v1.8.1 [d96e819e] + Parameters v0.12.3 [0e966ebe] + SearchModels v0.4.1 [a2af1166] + SortingAlgorithms v1.2.2 [10745b16] + Statistics v1.11.1 [82ae8749] + StatsAPI v1.7.1 ⌅ [2913bbd2] + StatsBase v0.33.21 [3a884ed6] + UnPack v1.0.2 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [8ba89e20] + Distributed v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.12.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.13.0 [d6f4376e] + Markdown v1.11.0 [de0858da] + Printf v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v0.7.0 [9e88b42a] + Serialization v1.11.0 [6462fe0b] + Sockets v1.11.0 [2f01184e] + SparseArrays v1.13.0 [f489334b] + StyledStrings v1.11.0 [fa267f1f] + TOML v1.0.3 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.3.0+1 [4536629a] + OpenBLAS_jll v0.3.29+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [8e850b90] + libblastrampoline_jll v5.13.1+0 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. To see why use `status --outdated -m` Installation completed after 1.18s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompilation completed after 21.94s ################################################################################ # Testing # Testing SearchModels Status `/tmp/jl_7gw0Ru/Project.toml` [d96e819e] Parameters v0.12.3 [0e966ebe] SearchModels v0.4.1 ⌅ [2913bbd2] StatsBase v0.33.21 [8ba89e20] Distributed v1.11.0 [9a3f8284] Random v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_7gw0Ru/Manifest.toml` [34da2185] Compat v4.18.0 [9a962f9c] DataAPI v1.16.0 ⌅ [864edb3b] DataStructures v0.18.22 [ffbed154] DocStringExtensions v0.9.5 [92d709cd] IrrationalConstants v0.2.4 [2ab3a3ac] LogExpFunctions v0.3.29 [e1d29d7a] Missings v1.2.0 [bac558e1] OrderedCollections v1.8.1 [d96e819e] Parameters v0.12.3 [0e966ebe] SearchModels v0.4.1 [a2af1166] SortingAlgorithms v1.2.2 [10745b16] Statistics v1.11.1 [82ae8749] StatsAPI v1.7.1 ⌅ [2913bbd2] StatsBase v0.33.21 [3a884ed6] UnPack v1.0.2 [56f22d72] Artifacts v1.11.0 [2a0f44e3] Base64 v1.11.0 [ade2ca70] Dates v1.11.0 [8ba89e20] Distributed v1.11.0 [b77e0a4c] InteractiveUtils v1.11.0 [ac6e5ff7] JuliaSyntaxHighlighting v1.12.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.13.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [de0858da] Printf v1.11.0 [9a3f8284] Random v1.11.0 [ea8e919c] SHA v0.7.0 [9e88b42a] Serialization v1.11.0 [6462fe0b] Sockets v1.11.0 [2f01184e] SparseArrays v1.13.0 [f489334b] StyledStrings v1.11.0 [fa267f1f] TOML v1.0.3 [8dfed614] Test v1.11.0 [cf7118a7] UUIDs v1.11.0 [4ec0a83e] Unicode v1.11.0 [e66e0078] CompilerSupportLibraries_jll v1.3.0+1 [4536629a] OpenBLAS_jll v0.3.29+0 [bea87d4a] SuiteSparse_jll v7.10.1+0 [8e850b90] libblastrampoline_jll v5.13.1+0 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. Testing Running tests... SearchModels> search params iter=0, initialpopulation=300, maxpopulation=16, bsize=64, mutbsize=32, crossbsize=32 SearchModels iteration 1> population: 16, bsize: 64, queue: 55, observed: 355, best-error: 56984.75156019482 worst-error: 1.0030648244242978e6 SearchModels iteration 2> population: 16, bsize: 64, queue: 60, observed: 415, best-error: 6446.516567642821 worst-error: 143087.14861224697 SearchModels iteration 3> population: 16, bsize: 64, queue: 57, observed: 472, best-error: 1486.7375108646677 worst-error: 27215.692569713035 SearchModels iteration 4> population: 16, bsize: 64, queue: 59, observed: 531, best-error: 365.1275814331983 worst-error: 3020.932521422449 SearchModels iteration 5> population: 16, bsize: 64, queue: 61, observed: 592, best-error: 9.168587279312778 worst-error: 556.1644020063312 SearchModels iteration 6> population: 16, bsize: 64, queue: 57, observed: 649, best-error: 9.168587279312778 worst-error: 129.1761388223133 SearchModels iteration 7> population: 16, bsize: 64, queue: 59, observed: 708, best-error: 9.168587279312778 worst-error: 44.332751288750735 SearchModels iteration 8> population: 16, bsize: 64, queue: 60, observed: 768, best-error: 4.605637786103116 worst-error: 20.4058693137594 SearchModels iteration 9> population: 16, bsize: 64, queue: 59, observed: 827, best-error: 4.605637786103116 worst-error: 10.538119244678429 SearchModels iteration 10> population: 16, bsize: 64, queue: 62, observed: 889, best-error: 4.605637786103116 worst-error: 6.447397093206954 SearchModels iteration 11> population: 16, bsize: 64, queue: 62, observed: 951, best-error: 3.9819895341022917 worst-error: 5.195680860784097 SearchModels iteration 12> population: 16, bsize: 64, queue: 58, observed: 1009, best-error: 3.9819895341022917 worst-error: 4.529899801842348 SearchModels iteration 13> population: 16, bsize: 64, queue: 57, observed: 1066, best-error: 3.9027677925629387 worst-error: 4.255918959725576 SearchModels iteration 14> population: 16, bsize: 64, queue: 56, observed: 1122, best-error: 3.9027677925629387 worst-error: 4.110855225322617 SearchModels iteration 15> population: 16, bsize: 64, queue: 59, observed: 1181, best-error: 3.9027677925629387 worst-error: 4.009080701054583 SearchModels iteration 16> population: 16, bsize: 64, queue: 60, observed: 1241, best-error: 3.750948951765146 worst-error: 3.971551208783333 SearchModels iteration 17> population: 16, bsize: 64, queue: 61, observed: 1302, best-error: 3.691123535214774 worst-error: 3.926947403503374 SearchModels iteration 18> population: 16, bsize: 64, queue: 59, observed: 1361, best-error: 3.691123535214774 worst-error: 3.823131108201514 SearchModels iteration 19> population: 16, bsize: 64, queue: 57, observed: 1418, best-error: 3.642390013217191 worst-error: 3.7339270064168755 SearchModels iteration 20> population: 16, bsize: 64, queue: 58, observed: 1476, best-error: 3.5110034728819812 worst-error: 3.704383020874087 SearchModels iteration 21> population: 16, bsize: 64, queue: 59, observed: 1535, best-error: 3.5110034728819812 worst-error: 3.6746565422981328 SearchModels iteration 22> population: 16, bsize: 64, queue: 57, observed: 1592, best-error: 3.5110034728819812 worst-error: 3.613378861828629 SearchModels iteration 23> population: 16, bsize: 64, queue: 57, observed: 1649, best-error: 3.5110034728819812 worst-error: 3.573657870488862 SearchModels iteration 24> population: 16, bsize: 64, queue: 57, observed: 1706, best-error: 3.4469860640048307 worst-error: 3.5579409762493652 SearchModels iteration 25> population: 16, bsize: 64, queue: 61, observed: 1767, best-error: 3.44118076241247 worst-error: 3.5319235096459973 SearchModels iteration 26> population: 16, bsize: 64, queue: 57, observed: 1824, best-error: 3.44118076241247 worst-error: 3.4868563975964815 SearchModels iteration 27> population: 16, bsize: 64, queue: 60, observed: 1884, best-error: 3.3892451131233057 worst-error: 3.466194255657111 SearchModels iteration 28> population: 16, bsize: 64, queue: 56, observed: 1940, best-error: 3.3892451131233057 worst-error: 3.4545981004640707 SearchModels iteration 29> population: 16, bsize: 64, queue: 56, observed: 1996, best-error: 3.3632945363757045 worst-error: 3.44118076241247 SearchModels iteration 30> population: 16, bsize: 64, queue: 61, observed: 2057, best-error: 2.890924360456689 worst-error: 3.406121214167617 SearchModels iteration 31> population: 16, bsize: 64, queue: 57, observed: 2114, best-error: 2.8281089426797337 worst-error: 3.0127992052782284 SearchModels iteration 32> population: 16, bsize: 64, queue: 59, observed: 2173, best-error: 2.796029130795991 worst-error: 2.892356849666164 SearchModels iteration 33> population: 16, bsize: 64, queue: 58, observed: 2231, best-error: 2.7890347581640214 worst-error: 2.854853770463363 SearchModels iteration 34> population: 16, bsize: 64, queue: 54, observed: 2285, best-error: 2.7890347581640214 worst-error: 2.832102290112185 SearchModels iteration 35> population: 16, bsize: 64, queue: 59, observed: 2344, best-error: 2.750320219226495 worst-error: 2.8140381321028967 SearchModels iteration 36> population: 16, bsize: 64, queue: 59, observed: 2403, best-error: 2.750320219226495 worst-error: 2.7854994437421574 SearchModels iteration 37> population: 16, bsize: 64, queue: 58, observed: 2461, best-error: 2.750320219226495 worst-error: 2.770450551199329 SearchModels iteration 38> population: 16, bsize: 64, queue: 58, observed: 2519, best-error: 2.7252065874386786 worst-error: 2.763009346542113 SearchModels iteration 39> population: 16, bsize: 64, queue: 56, observed: 2575, best-error: 2.7252065874386786 worst-error: 2.7565741914898494 SearchModels iteration 40> population: 16, bsize: 64, queue: 59, observed: 2634, best-error: 2.71756128978626 worst-error: 2.746105827300168 SearchModels iteration 41> population: 16, bsize: 64, queue: 57, observed: 2691, best-error: 2.701965043587257 worst-error: 2.7392331066022324 SearchModels iteration 42> population: 16, bsize: 64, queue: 58, observed: 2749, best-error: 2.701965043587257 worst-error: 2.72870573213702 SearchModels iteration 43> population: 16, bsize: 64, queue: 61, observed: 2810, best-error: 2.701965043587257 worst-error: 2.720836580198788 SearchModels iteration 44> population: 16, bsize: 64, queue: 58, observed: 2868, best-error: 2.6921210054763787 worst-error: 2.7154445491814387 SearchModels iteration 45> population: 16, bsize: 64, queue: 58, observed: 2926, best-error: 2.6689882476780395 worst-error: 2.7081590481702613 SearchModels iteration 46> population: 16, bsize: 64, queue: 60, observed: 2986, best-error: 2.6689882476780395 worst-error: 2.7012492229952794 SearchModels iteration 47> population: 16, bsize: 64, queue: 56, observed: 3042, best-error: 2.6689882476780395 worst-error: 2.687405238265034 SearchModels iteration 48> population: 16, bsize: 64, queue: 59, observed: 3101, best-error: 2.658897099873321 worst-error: 2.682597484750727 SearchModels iteration 49> population: 16, bsize: 64, queue: 57, observed: 3158, best-error: 2.658897099873321 worst-error: 2.676906521594063 SearchModels iteration 50> population: 16, bsize: 64, queue: 58, observed: 3216, best-error: 2.658897099873321 worst-error: 2.672643160989952 SearchModels iteration 51> population: 16, bsize: 64, queue: 57, observed: 3273, best-error: 2.643661159260807 worst-error: 2.6689882476780395 SearchModels iteration 52> population: 16, bsize: 64, queue: 59, observed: 3332, best-error: 2.643661159260807 worst-error: 2.666198384510211 SearchModels iteration 53> population: 16, bsize: 64, queue: 56, observed: 3388, best-error: 2.63412244443002 worst-error: 2.6581635668740935 SearchModels iteration 54> population: 16, bsize: 64, queue: 60, observed: 3448, best-error: 2.63412244443002 worst-error: 2.6515398034535558 SearchModels iteration 55> population: 16, bsize: 64, queue: 54, observed: 3502, best-error: 2.628480124114882 worst-error: 2.6445753921569635 SearchModels iteration 56> population: 16, bsize: 64, queue: 59, observed: 3561, best-error: 2.628480124114882 worst-error: 2.641820500106858 SearchModels iteration 57> population: 16, bsize: 64, queue: 59, observed: 3620, best-error: 2.628480124114882 worst-error: 2.6374921442388577 SearchModels iteration 58> population: 16, bsize: 64, queue: 56, observed: 3676, best-error: 2.628480124114882 worst-error: 2.634236618949723 SearchModels iteration 59> population: 16, bsize: 64, queue: 59, observed: 3735, best-error: 2.6280592513080925 worst-error: 2.6324659232395238 SearchModels iteration 60> population: 16, bsize: 64, queue: 62, observed: 3797, best-error: 2.6280592513080925 worst-error: 2.630153401197208 SearchModels iteration 61> population: 16, bsize: 64, queue: 57, observed: 3854, best-error: 2.619663341375382 worst-error: 2.6289077910177636 SearchModels iteration 62> population: 16, bsize: 64, queue: 57, observed: 3911, best-error: 2.619663341375382 worst-error: 2.6282988573882937 SearchModels iteration 63> population: 16, bsize: 64, queue: 56, observed: 3967, best-error: 2.619663341375382 worst-error: 2.624227010082227 SearchModels iteration 64> population: 16, bsize: 64, queue: 59, observed: 4026, best-error: 2.6179976419175373 worst-error: 2.6226550245917593 SearchModels iteration 65> population: 16, bsize: 64, queue: 59, observed: 4085, best-error: 2.6170740128639163 worst-error: 2.6210182696594897 SearchModels iteration 66> population: 16, bsize: 64, queue: 58, observed: 4143, best-error: 2.6170740128639163 worst-error: 2.619606049427419 SearchModels iteration 67> population: 16, bsize: 64, queue: 55, observed: 4198, best-error: 2.617001003597148 worst-error: 2.6181672488896823 SearchModels iteration 68> population: 16, bsize: 64, queue: 54, observed: 4252, best-error: 2.6130710812765527 worst-error: 2.6174708710797763 SearchModels iteration 69> population: 16, bsize: 64, queue: 60, observed: 4312, best-error: 2.610001391555633 worst-error: 2.6168839120319247 SearchModels iteration 70> population: 16, bsize: 64, queue: 59, observed: 4371, best-error: 2.610001391555633 worst-error: 2.6148729049974313 SearchModels iteration 71> population: 16, bsize: 64, queue: 57, observed: 4428, best-error: 2.610001391555633 worst-error: 2.6132410620767375 SearchModels iteration 72> population: 16, bsize: 64, queue: 59, observed: 4487, best-error: 2.6080248696137747 worst-error: 2.612106707999752 SearchModels iteration 73> population: 16, bsize: 64, queue: 57, observed: 4544, best-error: 2.606718431130462 worst-error: 2.610512814593544 SearchModels iteration 74> population: 16, bsize: 64, queue: 58, observed: 4602, best-error: 2.604991633657844 worst-error: 2.609447233188398 SearchModels iteration 75> population: 16, bsize: 64, queue: 61, observed: 4663, best-error: 2.599457456342797 worst-error: 2.607909416688009 SearchModels iteration 76> population: 16, bsize: 64, queue: 59, observed: 4722, best-error: 2.599457456342797 worst-error: 2.606327695722587 SearchModels iteration 77> population: 16, bsize: 64, queue: 59, observed: 4781, best-error: 2.599457456342797 worst-error: 2.6037784880357098 SearchModels iteration 78> population: 16, bsize: 64, queue: 59, observed: 4840, best-error: 2.599457456342797 worst-error: 2.60130817618922 SearchModels iteration 79> population: 16, bsize: 64, queue: 54, observed: 4894, best-error: 2.597050431267634 worst-error: 2.600239725583666 SearchModels iteration 80> population: 16, bsize: 64, queue: 58, observed: 4952, best-error: 2.5958400346832233 worst-error: 2.5996207058195964 SearchModels iteration 81> population: 16, bsize: 64, queue: 58, observed: 5010, best-error: 2.5945840280933687 worst-error: 2.598439367539117 SearchModels iteration 82> population: 16, bsize: 64, queue: 59, observed: 5069, best-error: 2.5942774344132604 worst-error: 2.59748043165612 SearchModels iteration 83> population: 16, bsize: 64, queue: 56, observed: 5125, best-error: 2.5942774344132604 worst-error: 2.595897189363762 SearchModels iteration 84> population: 16, bsize: 64, queue: 60, observed: 5185, best-error: 2.591900645502255 worst-error: 2.5951243254056635 SearchModels iteration 85> population: 16, bsize: 64, queue: 57, observed: 5242, best-error: 2.590007377136406 worst-error: 2.594374511332169 SearchModels iteration 86> population: 16, bsize: 64, queue: 59, observed: 5301, best-error: 2.5882273136450107 worst-error: 2.5929838214067886 SearchModels iteration 87> population: 16, bsize: 64, queue: 58, observed: 5359, best-error: 2.5882273136450107 worst-error: 2.591140617187633 SearchModels iteration 88> population: 16, bsize: 64, queue: 60, observed: 5419, best-error: 2.584589007247415 worst-error: 2.590009023399582 SearchModels iteration 89> population: 16, bsize: 64, queue: 58, observed: 5477, best-error: 2.584589007247415 worst-error: 2.589137078966002 SearchModels iteration 90> population: 16, bsize: 64, queue: 58, observed: 5535, best-error: 2.5810252304367434 worst-error: 2.587989288809558 SearchModels iteration 91> population: 16, bsize: 64, queue: 58, observed: 5593, best-error: 2.5810252304367434 worst-error: 2.586304656850421 SearchModels iteration 92> population: 16, bsize: 64, queue: 59, observed: 5652, best-error: 2.580543410764125 worst-error: 2.584533949974862 SearchModels iteration 93> population: 16, bsize: 64, queue: 57, observed: 5709, best-error: 2.5788715730921052 worst-error: 2.5831948441692822 SearchModels iteration 94> population: 16, bsize: 64, queue: 61, observed: 5770, best-error: 2.5788715730921052 worst-error: 2.5821025219626845 SearchModels iteration 95> population: 16, bsize: 64, queue: 61, observed: 5831, best-error: 2.5777276006037897 worst-error: 2.580948933016086 SearchModels iteration 96> population: 16, bsize: 64, queue: 58, observed: 5889, best-error: 2.577534518389999 worst-error: 2.579976735909752 SearchModels iteration 97> population: 16, bsize: 64, queue: 53, observed: 5942, best-error: 2.5766311032965277 worst-error: 2.5787068391958177 SearchModels iteration 98> population: 16, bsize: 64, queue: 57, observed: 5999, best-error: 2.57659937888068 worst-error: 2.578049099515898 SearchModels iteration 99> population: 16, bsize: 64, queue: 58, observed: 6057, best-error: 2.576591640677037 worst-error: 2.577582549433422 SearchModels> reached maximum number of iterations 100 ===== PolyModel -- poly: [0.2880614616634938, 0.5520307193534717, 0.8105841346740378, 0.7178898333712517, 0.5601286299111896] 1 => ([-0.46307011896016154, 0.4967933274774371, 0.9583195150237795, 0.7188617776528177, 0.5582284706206586] => 2.5764943830977454) 2 => ([-0.4624194771368118, 0.49483576149223274, 0.9583195150280867, 0.718861777653006, 0.5582284706206232] => 2.576591640677037) 3 => ([-0.4624194771368118, 0.49490196102795003, 0.9583195150280867, 0.718861777653006, 0.5582284706206232] => 2.57659937888068) 4 => ([-0.46372076078351127, 0.4986846939269242, 0.9583195150194725, 0.7188617776526293, 0.5582284706206939] => 2.5766311032965277) 5 => ([-0.4623036937505983, 0.4954926990537505, 0.9583195150259332, 0.7188617776529118, 0.5582284706206408] => 2.576761794303297) 6 => ([-0.4625132312760597, 0.4964359613616205, 0.958319515021626, 0.7188617776527235, 0.5582284706206763] => 2.5767963327739656) 7 => ([-0.4621879103643848, 0.49547372825294766, 0.9583195150237795, 0.7188617776528177, 0.5582284706206586] => 2.5768391163372977) 8 => ([-0.4621879103643848, 0.4955068280208063, 0.9583195150237795, 0.7188617776528177, 0.5582284706206586] => 2.5768443704018913) 9 => ([-0.46186258945270997, 0.4945114951442748, 0.9583195150259332, 0.7188617776529118, 0.5582284706206408] => 2.576944454999813) 10 => ([-0.46186258945270997, 0.49452804502820413, 0.9583195150259332, 0.7188617776529118, 0.5582284706206408] => 2.5769460005378337) 11 => ([-0.4617688353134621, 0.4929443950427457, 0.9583195150323938, 0.7188617776531944, 0.5582284706205878] => 2.5769467830849058) 12 => ([-0.4618625894527099, 0.4945611447960627, 0.9583195150259332, 0.7188617776529118, 0.5582284706206408] => 2.5769491469415695) 13 => ([-0.46207212697817135, 0.4958092615172344, 0.958319515021626, 0.7188617776527235, 0.5582284706206763] => 2.5769761444476402) 14 => ([-0.4616530519272486, 0.49327992830703243, 0.9583195150302402, 0.7188617776531001, 0.5582284706206055] => 2.5770267640947933) 15 => ([-0.4616530519272486, 0.49421137918359986, 0.9583195150302402, 0.7188617776531001, 0.5582284706206055] => 2.577065198373686) Test Summary: | Total Time SearchModels.jl | 0 5.7s ===== RoseParams without inspect_population SearchModels> search params iter=0, initialpopulation=1000, maxpopulation=16, bsize=32, mutbsize=100, crossbsize=100 SearchModels iteration 1> population: 16, bsize: 32, queue: 172, observed: 1147, best-error: 1.2999999999999998 worst-error: 15.699999999999976 SearchModels iteration 2> population: 16, bsize: 32, queue: 150, observed: 1297, best-error: 0.10000000000000016 worst-error: 1.7000000000000004 SearchModels iteration 3> population: 16, bsize: 32, queue: 163, observed: 1460, best-error: 0.10000000000000016 worst-error: 0.49812500000000026 SearchModels iteration 4> population: 16, bsize: 32, queue: 156, observed: 1616, best-error: 0.10000000000000016 worst-error: 0.21816406250000014 SearchModels iteration 5> population: 16, bsize: 32, queue: 156, observed: 1772, best-error: 0.10000000000000016 worst-error: 0.14398681640625 SearchModels iteration 6> population: 16, bsize: 32, queue: 163, observed: 1935, best-error: 0.090625 worst-error: 0.11819839477539062 SearchModels iteration 7> population: 16, bsize: 32, queue: 153, observed: 2088, best-error: 0.090625 worst-error: 0.10383560180664062 SearchModels iteration 8> population: 16, bsize: 32, queue: 147, observed: 2235, best-error: 0.090625 worst-error: 0.09728410486131908 SearchModels iteration 9> population: 16, bsize: 32, queue: 162, observed: 2397, best-error: 0.090625 worst-error: 0.09514271956169977 SearchModels iteration 10> population: 16, bsize: 32, queue: 155, observed: 2552, best-error: 0.090625 worst-error: 0.09303845465183258 SearchModels iteration 11> population: 16, bsize: 32, queue: 161, observed: 2713, best-error: 0.090625 worst-error: 0.09184796415502205 SearchModels iteration 12> population: 16, bsize: 32, queue: 156, observed: 2869, best-error: 0.090625 worst-error: 0.09120808486240153 SearchModels iteration 13> population: 16, bsize: 32, queue: 138, observed: 3007, best-error: 0.090625 worst-error: 0.09086109180236239 SearchModels iteration 14> population: 16, bsize: 32, queue: 154, observed: 3161, best-error: 0.090625 worst-error: 0.09071860297750112 SearchModels iteration 15> population: 16, bsize: 32, queue: 133, observed: 3294, best-error: 0.09061264764591215 worst-error: 0.0906603653589724 SearchModels iteration 16> population: 16, bsize: 32, queue: 111, observed: 3405, best-error: 0.0906123390568926 worst-error: 0.0906258539553261 SearchModels iteration 17> population: 16, bsize: 32, queue: 89, observed: 3494, best-error: 0.0906123390568926 worst-error: 0.09061388209132987 SearchModels iteration 18> population: 16, bsize: 32, queue: 75, observed: 3569, best-error: 0.09061233722564462 worst-error: 0.09061242721170466 SearchModels> stop by convergence error=(0.6997543334960936, 0.4875) => 0.09061234872471177, iter=19 (of 300) 1 => ((0.6997467041015624, 0.4875) => 0.0906123372256446) 2 => ((0.6997467041015625, 0.4875) => 0.09061233722564462) 3 => ((0.6997451782226562, 0.4875) => 0.09061233768192638) 4 => ((0.6997451782226561, 0.4875) => 0.09061233768192638) 5 => ((0.6997482299804687, 0.4875) => 0.09061233768805331) 6 => ((0.6997436523437499, 0.4875) => 0.0906123390568926) 7 => ((0.69974365234375, 0.4875) => 0.09061233905689262) 8 => ((0.6997497558593749, 0.4875) => 0.09061233906915839) 9 => ((0.699749755859375, 0.4875) => 0.0906123390691584) 10 => ((0.6997421264648438, 0.4875) => 0.09061234135053736) 11 => ((0.6997512817382812, 0.4875) => 0.09061234136896586) 12 => ((0.6997406005859375, 0.4875) => 0.09061234456285464) 13 => ((0.6997528076171875, 0.4875) => 0.09061234458748166) 14 => ((0.6997390747070311, 0.4875) => 0.09061234869383848) 15 => ((0.6997390747070312, 0.4875) => 0.0906123486938385) ===== RoseParams using inspect_population SearchModels> search params iter=0, initialpopulation=1000, maxpopulation=16, bsize=32, mutbsize=100, crossbsize=100 SearchModels iteration 1> population: 16, bsize: 32, queue: 172, observed: 1152, best-error: 0.0 worst-error: 12.500000000000007 SearchModels iteration 2> population: 16, bsize: 32, queue: 168, observed: 1320, best-error: 0.0 worst-error: 2.1199999999999997 SearchModels iteration 3> population: 16, bsize: 32, queue: 172, observed: 1492, best-error: 0.0 worst-error: 0.39999999999999797 SearchModels iteration 4> population: 16, bsize: 32, queue: 167, observed: 1659, best-error: 0.0 worst-error: 0.015624999999999889 SearchModels iteration 5> population: 16, bsize: 32, queue: 178, observed: 1837, best-error: 0.0 worst-error: 0.0038696289062498746 SearchModels iteration 6> population: 16, bsize: 32, queue: 173, observed: 2010, best-error: 0.0 worst-error: 0.0010375976562499777 SearchModels iteration 7> population: 16, bsize: 32, queue: 168, observed: 2178, best-error: 0.0 worst-error: 0.0002592951059341727 SearchModels iteration 8> population: 16, bsize: 32, queue: 164, observed: 2342, best-error: 0.0 worst-error: 6.155017763375327e-5 SearchModels iteration 9> population: 16, bsize: 32, queue: 162, observed: 2504, best-error: 0.0 worst-error: 1.582149416208849e-5 SearchModels iteration 10> population: 16, bsize: 32, queue: 147, observed: 2651, best-error: 0.0 worst-error: 2.4420022964475027e-6 SearchModels iteration 11> population: 16, bsize: 32, queue: 134, observed: 2785, best-error: 0.0 worst-error: 3.4333454095747233e-7 SearchModels iteration 12> population: 16, bsize: 32, queue: 127, observed: 2912, best-error: 0.0 worst-error: 3.814711817542159e-8 SearchModels> stop by convergence error=(1.0001464843749999, 1.0002929687500002) => 2.1457718162268814e-8, iter=13 (of 300) 1 => ((1.0, 1.0) => 0.0) 2 => ((0.9999999999999999, 1.0) => 4.942706609275402e-30) 3 => ((1.0000000000000002, 1.0) => 1.9770826437101608e-29) 4 => ((0.9999511718750002, 0.9999023437500002) => 2.3841863594346623e-9) 5 => ((0.999951171875, 0.9999023437500001) => 2.3841863594454512e-9) 6 => ((0.9999511718749999, 0.9999023437500002) => 2.3841863594561347e-9) 7 => ((0.9999511718749999, 0.9999023437500001) => 2.3841863594561876e-9) 8 => ((1.0000488281250002, 1.0000976562500001) => 2.3841863594672412e-9) 9 => ((1.0000488281250002, 1.00009765625) => 2.384186359467347e-9) 10 => ((0.9999023437500002, 0.9998046875) => 9.53675225897135e-9) 11 => ((1.00009765625, 1.0001953125000003) => 9.53675225899134e-9) 12 => ((1.00009765625, 1.0001953125) => 9.536752258991764e-9) 13 => ((0.9999023437500001, 0.9998046875) => 9.53675225899261e-9) 14 => ((1.0000976562500001, 1.0001953125000003) => 9.536752259035556e-9) 15 => ((1.0000976562500001, 1.0001953125) => 9.53675225903598e-9) Test Summary: | Total Time SearchModels.jl | 0 2.4s Testing SearchModels tests passed Testing completed after 20.79s PkgEval succeeded after 64.17s