Package evaluation to test GaussianMixtures on Julia 1.14.0-DEV.2071 (559ec66647*) started at 2026-04-23T20:33:32.196 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 13.43s ################################################################################ # Installation # Installing GaussianMixtures... Resolving package versions... Updating `~/.julia/environments/v1.14/Project.toml` [cc18c42c] + GaussianMixtures v0.3.14 Updating `~/.julia/environments/v1.14/Manifest.toml` [1520ce14] + AbstractTrees v0.4.5 [66dad0bd] + AliasTables v1.1.3 [7d9fca2a] + Arpack v0.5.4 [aaaa29a8] + Clustering v0.15.8 [34da2185] + Compat v4.18.1 [9a962f9c] + DataAPI v1.16.0 [864edb3b] + DataStructures v0.19.4 [8bb1440f] + DelimitedFiles v1.9.1 [b4f34e82] + Distances v0.10.12 [31c24e10] + Distributions v0.25.125 [ffbed154] + DocStringExtensions v0.9.5 [1a297f60] + FillArrays v1.16.0 [cc18c42c] + GaussianMixtures v0.3.14 [34004b35] + HypergeometricFunctions v0.3.28 [92d709cd] + IrrationalConstants v0.2.6 [692b3bcd] + JLLWrappers v1.7.1 [2ab3a3ac] + LogExpFunctions v0.3.29 [e1d29d7a] + Missings v1.2.0 [b8a86587] + NearestNeighbors v0.4.27 [bac558e1] + OrderedCollections v1.8.1 [90014a1f] + PDMats v0.11.37 [aea7be01] + PrecompileTools v1.3.3 [21216c6a] + Preferences v1.5.2 [43287f4e] + PtrArrays v1.4.0 [1fd47b50] + QuadGK v2.11.3 [189a3867] + Reexport v1.2.2 [79098fc4] + Rmath v0.9.0 [6e75b9c4] + ScikitLearnBase v0.5.0 [a2af1166] + SortingAlgorithms v1.2.2 [276daf66] + SpecialFunctions v2.7.2 [90137ffa] + StaticArrays v1.9.18 [1e83bf80] + StaticArraysCore v1.4.4 [10745b16] + Statistics v1.11.1 [82ae8749] + StatsAPI v1.8.0 [2913bbd2] + StatsBase v0.34.10 [4c63d2b9] + StatsFuns v1.5.2 ⌅ [68821587] + Arpack_jll v3.5.2+0 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [f50d1b31] + Rmath_jll v0.5.1+0 [56f22d72] + Artifacts v1.11.0 [ade2ca70] + Dates v1.11.0 [8ba89e20] + Distributed v1.11.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.13.0 [56ddb016] + Logging v1.11.0 [a63ad114] + Mmap v1.11.0 [de0858da] + Printf v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v1.0.0 [9e88b42a] + Serialization v1.11.0 [6462fe0b] + Sockets v1.11.0 [2f01184e] + SparseArrays v1.13.0 [4607b0f0] + SuiteSparse [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 v0.3.30+0 [05823500] + OpenLibm_jll v0.8.7+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [8e850b90] + libblastrampoline_jll v5.15.0+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 5.75s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompiling project... 22.9 s ✓ RData 6.3 s ✓ GaussianMixtures 22.6 s ✓ RDatasets 11.0 s ✓ GaussianMixtures → GaussianMixturesJLD2Ext 4 dependencies successfully precompiled in 68 seconds. 126 already precompiled. Precompilation completed after 90.39s ################################################################################ # Testing # Testing GaussianMixtures Status `/tmp/jl_HUYUV0/Project.toml` [7d9fca2a] Arpack v0.5.4 [aaaa29a8] Clustering v0.15.8 [34da2185] Compat v4.18.1 [8bb1440f] DelimitedFiles v1.9.1 [31c24e10] Distributions v0.25.125 [5789e2e9] FileIO v1.18.0 [cc18c42c] GaussianMixtures v0.3.14 [033835bb] JLD2 v0.6.4 [90014a1f] PDMats v0.11.37 ⌅ [ce6b1742] RDatasets v0.7.7 [6e75b9c4] ScikitLearnBase v0.5.0 [276daf66] SpecialFunctions v2.7.2 [10745b16] Statistics v1.11.1 [2913bbd2] StatsBase v0.34.10 [8ba89e20] Distributed v1.11.0 [37e2e46d] LinearAlgebra v1.13.0 [56ddb016] Logging v1.11.0 [de0858da] Printf v1.11.0 [9a3f8284] Random v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_HUYUV0/Manifest.toml` [1520ce14] AbstractTrees v0.4.5 [66dad0bd] AliasTables v1.1.3 [7d9fca2a] Arpack v0.5.4 [336ed68f] CSV v0.10.16 ⌅ [324d7699] CategoricalArrays v0.10.9 [0b6fb165] ChunkCodecCore v1.0.1 [4c0bbee4] ChunkCodecLibZlib v1.0.0 [55437552] ChunkCodecLibZstd v1.0.0 [aaaa29a8] Clustering v0.15.8 [944b1d66] CodecZlib v0.7.8 [34da2185] Compat v4.18.1 [a8cc5b0e] Crayons v4.1.1 [9a962f9c] DataAPI v1.16.0 [a93c6f00] DataFrames v1.8.2 [864edb3b] DataStructures v0.19.4 [e2d170a0] DataValueInterfaces v1.0.0 [8bb1440f] DelimitedFiles v1.9.1 [b4f34e82] Distances v0.10.12 [31c24e10] Distributions v0.25.125 [ffbed154] DocStringExtensions v0.9.5 [e2ba6199] ExprTools v0.1.10 [5789e2e9] FileIO v1.18.0 [48062228] FilePathsBase v0.9.24 [1a297f60] FillArrays v1.16.0 [cc18c42c] GaussianMixtures v0.3.14 [076d061b] HashArrayMappedTries v0.2.0 [34004b35] HypergeometricFunctions v0.3.28 [842dd82b] InlineStrings v1.4.5 [41ab1584] InvertedIndices v1.3.1 [92d709cd] IrrationalConstants v0.2.6 [82899510] IteratorInterfaceExtensions v1.0.0 [033835bb] JLD2 v0.6.4 [692b3bcd] JLLWrappers v1.7.1 [b964fa9f] LaTeXStrings v1.4.0 [2ab3a3ac] LogExpFunctions v0.3.29 [1914dd2f] MacroTools v0.5.16 [e1d29d7a] Missings v1.2.0 [78c3b35d] Mocking v0.8.1 [b8a86587] NearestNeighbors v0.4.27 [bac558e1] OrderedCollections v1.8.1 [90014a1f] PDMats v0.11.37 [69de0a69] Parsers v2.8.3 [2dfb63ee] PooledArrays v1.4.3 [aea7be01] PrecompileTools v1.3.3 [21216c6a] Preferences v1.5.2 [08abe8d2] PrettyTables v3.3.2 [43287f4e] PtrArrays v1.4.0 [1fd47b50] QuadGK v2.11.3 ⌅ [df47a6cb] RData v0.8.3 ⌅ [ce6b1742] RDatasets v0.7.7 [189a3867] Reexport v1.2.2 [ae029012] Requires v1.3.1 [79098fc4] Rmath v0.9.0 [6e75b9c4] ScikitLearnBase v0.5.0 [7e506255] ScopedValues v1.6.0 [6c6a2e73] Scratch v1.3.0 [91c51154] SentinelArrays v1.4.9 [a2af1166] SortingAlgorithms v1.2.2 [276daf66] SpecialFunctions v2.7.2 [90137ffa] StaticArrays v1.9.18 [1e83bf80] StaticArraysCore v1.4.4 [10745b16] Statistics v1.11.1 [82ae8749] StatsAPI v1.8.0 [2913bbd2] StatsBase v0.34.10 [4c63d2b9] StatsFuns v1.5.2 [892a3eda] StringManipulation v0.4.4 [dc5dba14] TZJData v1.5.0+2025b [3783bdb8] TableTraits v1.0.1 [bd369af6] Tables v1.12.1 [f269a46b] TimeZones v1.22.2 [3bb67fe8] TranscodingStreams v0.11.3 [ea10d353] WeakRefStrings v1.4.2 [76eceee3] WorkerUtilities v1.6.1 ⌅ [68821587] Arpack_jll v3.5.2+0 [efe28fd5] OpenSpecFun_jll v0.5.6+0 [f50d1b31] Rmath_jll v0.5.1+0 [0dad84c5] ArgTools v1.1.2 [56f22d72] Artifacts v1.11.0 [2a0f44e3] Base64 v1.11.0 [ade2ca70] Dates v1.11.0 [8ba89e20] Distributed v1.11.0 [f43a241f] Downloads v1.7.0 [7b1f6079] FileWatching v1.11.0 [9fa8497b] Future v1.11.0 [b77e0a4c] InteractiveUtils v1.11.0 [ac6e5ff7] JuliaSyntaxHighlighting v1.13.0 [b27032c2] LibCURL v1.0.0 [76f85450] LibGit2 v1.11.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.13.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [a63ad114] Mmap v1.11.0 [ca575930] NetworkOptions v1.3.0 [44cfe95a] Pkg v1.14.0 [de0858da] Printf v1.11.0 [3fa0cd96] REPL v1.11.0 [9a3f8284] Random v1.11.0 [ea8e919c] SHA v1.0.0 [9e88b42a] Serialization v1.11.0 [6462fe0b] Sockets v1.11.0 [2f01184e] SparseArrays v1.13.0 [f489334b] StyledStrings v1.13.0 [4607b0f0] SuiteSparse [fa267f1f] TOML v1.0.3 [a4e569a6] Tar v1.10.0 [8dfed614] Test v1.11.0 [cf7118a7] UUIDs v1.11.0 [4ec0a83e] Unicode v1.11.0 [e66e0078] CompilerSupportLibraries_jll v1.3.0+1 [deac9b47] LibCURL_jll v8.19.0+0 [e37daf67] LibGit2_jll v1.9.2+0 [29816b5a] LibSSH2_jll v1.11.3+1 [14a3606d] MozillaCACerts_jll v2026.3.19 [4536629a] OpenBLAS_jll v0.3.30+0 [05823500] OpenLibm_jll v0.8.7+0 [458c3c95] OpenSSL_jll v3.5.6+0 [efcefdf7] PCRE2_jll v10.47.0+0 [bea87d4a] SuiteSparse_jll v7.10.1+0 [83775a58] Zlib_jll v1.3.2+0 [3161d3a3] Zstd_jll v1.5.7+1 [8e850b90] libblastrampoline_jll v5.15.0+0 [8e850ede] nghttp2_jll v1.69.0+0 [3f19e933] p7zip_jll v17.8.0+0 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. Testing Running tests... (100000, -2.6245093279255894e6, [42276.09717059593, 57723.90282940407], [-24292.16220884237 -24109.526753130245 6713.064578132455; 24011.31366390326 24428.961468578927 -6578.1281016031635], [[47404.181630176565 -7117.756357459469 -4424.4692371707715; -7117.756357459469 51744.11211990724 2855.4337669584997; -4424.4692371707715 2855.4337669585 45157.08009342351], [52896.642441594995 7602.01598999805 4154.662003651002; 7602.01598999805 47760.14344830867 -2823.6201846836325; 4154.662003651001 -2823.620184683632 55047.51962273034]]) Test Summary: | Pass Total Time data.jl | 8 8 4m55.8s ┌ Warning: `lgamma(x::Real)` is deprecated, use `(logabsgamma(x))[1]` instead. │ caller = lowerbound(vg::VGMM{Float64}, N::Vector{Float64}, mx::Matrix{Float64}, S::Vector{Matrix{Float64}}, Elogπ::Vector{Float64}, ElogdetΛ::Vector{Float64}, ElogpZπqZ::Float64) at bayes.jl:221 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/bayes.jl:221 ┌ Warning: `lgamma(x::Real)` is deprecated, use `(logabsgamma(x))[1]` instead. │ caller = lowerbound(vg::VGMM{Float64}, N::Vector{Float64}, mx::Matrix{Float64}, S::Vector{Matrix{Float64}}, Elogπ::Vector{Float64}, ElogdetΛ::Vector{Float64}, ElogpZπqZ::Float64) at bayes.jl:221 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/bayes.jl:221 ┌ Warning: `lgamma(x::Real)` is deprecated, use `(logabsgamma(x))[1]` instead. │ caller = _broadcast_getindex_evalf at broadcast.jl:702 [inlined] └ @ Core ./broadcast.jl:702 ┌ Warning: `lgamma(x::Real)` is deprecated, use `(logabsgamma(x))[1]` instead. │ caller = lowerbound(vg::VGMM{Float64}, N::Vector{Float64}, mx::Matrix{Float64}, S::Vector{Matrix{Float64}}, Elogπ::Vector{Float64}, ElogdetΛ::Vector{Float64}, ElogpZπqZ::Float64) at bayes.jl:230 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/bayes.jl:230 ┌ Warning: `lgamma(x::Real)` is deprecated, use `(logabsgamma(x))[1]` instead. │ caller = _broadcast_getindex_evalf at broadcast.jl:702 [inlined] └ @ Core ./broadcast.jl:702 ┌ Warning: `lgamma(x::Real)` is deprecated, use `(logabsgamma(x))[1]` instead. │ caller = _broadcast_getindex_evalf at broadcast.jl:702 [inlined] └ @ Core ./broadcast.jl:702 History[Thu Apr 23 20:42:42 2026: Initializing GMM, 8 Gaussians diag covariance 2 dimensions using 272 data points , Thu Apr 23 20:42:43 2026: K-means with 272 data points using 3 iterations 11.3 data points per parameter , Thu Apr 23 20:42:43 2026: EM with 272 data points 0 iterations avll -2.055405 5.8 data points per parameter , Thu Apr 23 20:42:51 2026: GMM converted to Variational GMM , Thu Apr 23 20:43:05 2026: iteration 1, lowerbound -3.787240 , Thu Apr 23 20:43:05 2026: iteration 2, lowerbound -3.648523 , Thu Apr 23 20:43:05 2026: iteration 3, lowerbound -3.492215 , Thu Apr 23 20:43:05 2026: iteration 4, lowerbound -3.314034 , Thu Apr 23 20:43:05 2026: iteration 5, lowerbound -3.138761 , Thu Apr 23 20:43:05 2026: iteration 6, lowerbound -2.989769 , Thu Apr 23 20:43:06 2026: dropping number of Gaussions to 7 , Thu Apr 23 20:43:06 2026: iteration 7, lowerbound -2.873743 , Thu Apr 23 20:43:06 2026: dropping number of Gaussions to 5 , Thu Apr 23 20:43:06 2026: iteration 8, lowerbound -2.775892 , Thu Apr 23 20:43:06 2026: iteration 9, lowerbound -2.708268 , Thu Apr 23 20:43:06 2026: dropping number of Gaussions to 4 , Thu Apr 23 20:43:06 2026: iteration 10, lowerbound -2.662978 , Thu Apr 23 20:43:06 2026: dropping number of Gaussions to 3 , Thu Apr 23 20:43:06 2026: iteration 11, lowerbound -2.616438 , Thu Apr 23 20:43:06 2026: iteration 12, lowerbound -2.569900 , Thu Apr 23 20:43:06 2026: iteration 13, lowerbound -2.525637 , Thu Apr 23 20:43:06 2026: iteration 14, lowerbound -2.482605 , Thu Apr 23 20:43:06 2026: iteration 15, lowerbound -2.442712 , Thu Apr 23 20:43:06 2026: iteration 16, lowerbound -2.406513 , Thu Apr 23 20:43:06 2026: iteration 17, lowerbound -2.373537 , Thu Apr 23 20:43:06 2026: iteration 18, lowerbound -2.343891 , Thu Apr 23 20:43:06 2026: iteration 19, lowerbound -2.320423 , Thu Apr 23 20:43:06 2026: iteration 20, lowerbound -2.308316 , Thu Apr 23 20:43:06 2026: dropping number of Gaussions to 2 , Thu Apr 23 20:43:06 2026: iteration 21, lowerbound -2.303098 , Thu Apr 23 20:43:06 2026: iteration 22, lowerbound -2.299263 , Thu Apr 23 20:43:06 2026: iteration 23, lowerbound -2.299258 , Thu Apr 23 20:43:06 2026: iteration 24, lowerbound -2.299255 , Thu Apr 23 20:43:06 2026: iteration 25, lowerbound -2.299254 , Thu Apr 23 20:43:06 2026: iteration 26, lowerbound -2.299253 , Thu Apr 23 20:43:06 2026: iteration 27, lowerbound -2.299253 , Thu Apr 23 20:43:06 2026: iteration 28, lowerbound -2.299253 , Thu Apr 23 20:43:06 2026: iteration 29, lowerbound -2.299253 , Thu Apr 23 20:43:06 2026: iteration 30, lowerbound -2.299253 , Thu Apr 23 20:43:06 2026: iteration 31, lowerbound -2.299253 , Thu Apr 23 20:43:06 2026: iteration 32, lowerbound -2.299253 , Thu Apr 23 20:43:06 2026: iteration 33, lowerbound -2.299253 , Thu Apr 23 20:43:06 2026: iteration 34, lowerbound -2.299253 , Thu Apr 23 20:43:06 2026: iteration 35, lowerbound -2.299253 , Thu Apr 23 20:43:06 2026: iteration 36, lowerbound -2.299253 , Thu Apr 23 20:43:06 2026: iteration 37, lowerbound -2.299253 , Thu Apr 23 20:43:06 2026: iteration 38, lowerbound -2.299253 , Thu Apr 23 20:43:06 2026: iteration 39, lowerbound -2.299253 , Thu Apr 23 20:43:06 2026: iteration 40, lowerbound -2.299253 , Thu Apr 23 20:43:06 2026: iteration 41, lowerbound -2.299253 , Thu Apr 23 20:43:06 2026: iteration 42, lowerbound -2.299253 , Thu Apr 23 20:43:06 2026: iteration 43, lowerbound -2.299253 , Thu Apr 23 20:43:06 2026: iteration 44, lowerbound -2.299253 , Thu Apr 23 20:43:06 2026: iteration 45, lowerbound -2.299253 , Thu Apr 23 20:43:06 2026: iteration 46, lowerbound -2.299253 , Thu Apr 23 20:43:06 2026: iteration 47, lowerbound -2.299253 , Thu Apr 23 20:43:06 2026: iteration 48, lowerbound -2.299253 , Thu Apr 23 20:43:06 2026: iteration 49, lowerbound -2.299253 , Thu Apr 23 20:43:06 2026: iteration 50, lowerbound -2.299253 , Thu Apr 23 20:43:06 2026: 50 variational Bayes EM-like iterations using 272 data points, final lowerbound -2.299253 ] α = [178.04509222601553, 95.95490777398454] β = [178.04509222601553, 95.95490777398454] m = [4.250300733269894 79.28686694436162; 2.0002292577753567 53.851987172461214] ν = [180.04509222601553, 97.95490777398454] W = LinearAlgebra.UpperTriangular{Float64, Matrix{Float64}}[[0.1840415554748427 -0.007644049042327772; 0.0 0.008581705166333144], [0.3758763611948635 -0.008953123827346502; 0.0 0.01274866477740945]] Test Summary: | Pass Total Time bayes.jl | 3 3 1m52.6s Kind: diag, size256 nx: 100000 sum(zeroth order stats): 100000.00000000007 avll from stats: -0.9988434857180098 avll from llpg: -0.9988434857180098 avll direct: -0.9988434857180098 sum posterior: 100000.0 Kind: full, size16 nx: 100000 sum(zeroth order stats): 100000.0 avll from stats: -0.997906089523009 avll from llpg: -0.9979060895230091 avll direct: -0.9979060895230091 sum posterior: 100000.0 kind diag, method split ┌ Warning: Variances had to be floored │ ind = │ 1-element Vector{Int64}: │ 15 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 2-element Vector{Int64}: │ 15 │ 16 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 4-element Vector{Int64}: │ 1 │ 2 │ 14 │ 15 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 2-element Vector{Int64}: │ 15 │ 16 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 4-element Vector{Int64}: │ 1 │ 14 │ 15 │ 16 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 1-element Vector{Int64}: │ 2 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 2-element Vector{Int64}: │ 15 │ 16 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 2-element Vector{Int64}: │ 1 │ 14 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 3-element Vector{Int64}: │ 2 │ 15 │ 16 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 4-element Vector{Int64}: │ 1 │ 14 │ 15 │ 16 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 1-element Vector{Int64}: │ 2 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 2-element Vector{Int64}: │ 15 │ 16 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 2-element Vector{Int64}: │ 1 │ 14 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 3-element Vector{Int64}: │ 2 │ 15 │ 16 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 4-element Vector{Int64}: │ 1 │ 14 │ 15 │ 16 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 1-element Vector{Int64}: │ 2 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 2-element Vector{Int64}: │ 15 │ 16 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 2-element Vector{Int64}: │ 1 │ 14 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 3-element Vector{Int64}: │ 2 │ 15 │ 16 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 4-element Vector{Int64}: │ 1 │ 14 │ 15 │ 16 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 1-element Vector{Int64}: │ 2 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 2-element Vector{Int64}: │ 15 │ 16 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 2-element Vector{Int64}: │ 1 │ 14 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 3-element Vector{Int64}: │ 2 │ 15 │ 16 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 4-element Vector{Int64}: │ 1 │ 14 │ 15 │ 16 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 1-element Vector{Int64}: │ 2 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 2-element Vector{Int64}: │ 15 │ 16 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 2-element Vector{Int64}: │ 1 │ 14 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 3-element Vector{Int64}: │ 2 │ 15 │ 16 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 4-element Vector{Int64}: │ 1 │ 14 │ 15 │ 16 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 1-element Vector{Int64}: │ 2 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 2-element Vector{Int64}: │ 15 │ 16 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 2-element Vector{Int64}: │ 1 │ 14 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 3-element Vector{Int64}: │ 2 │ 15 │ 16 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 4-element Vector{Int64}: │ 1 │ 14 │ 15 │ 16 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 1-element Vector{Int64}: │ 2 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 2-element Vector{Int64}: │ 15 │ 16 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 2-element Vector{Int64}: │ 1 │ 14 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 3-element Vector{Int64}: │ 2 │ 15 │ 16 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 8-element Vector{Int64}: │ 1 │ 2 │ 27 │ 28 │ 29 │ 30 │ 31 │ 32 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 10-element Vector{Int64}: │ 1 │ 2 │ 3 │ 4 │ ⋮ │ 30 │ 31 │ 32 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 8-element Vector{Int64}: │ 1 │ 2 │ 27 │ 28 │ 29 │ 30 │ 31 │ 32 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 10-element Vector{Int64}: │ 1 │ 2 │ 3 │ 4 │ ⋮ │ 30 │ 31 │ 32 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 8-element Vector{Int64}: │ 1 │ 2 │ 27 │ 28 │ 29 │ 30 │ 31 │ 32 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 10-element Vector{Int64}: │ 1 │ 2 │ 3 │ 4 │ ⋮ │ 30 │ 31 │ 32 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 8-element Vector{Int64}: │ 1 │ 2 │ 27 │ 28 │ 29 │ 30 │ 31 │ 32 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 11-element Vector{Int64}: │ 1 │ 2 │ 3 │ 4 │ ⋮ │ 30 │ 31 │ 32 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 9-element Vector{Int64}: │ 1 │ 2 │ 15 │ 27 │ ⋮ │ 30 │ 31 │ 32 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 10-element Vector{Int64}: │ 1 │ 2 │ 3 │ 4 │ ⋮ │ 30 │ 31 │ 32 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 8-element Vector{Int64}: │ 1 │ 2 │ 27 │ 28 │ 29 │ 30 │ 31 │ 32 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 10-element Vector{Int64}: │ 1 │ 2 │ 3 │ 4 │ ⋮ │ 30 │ 31 │ 32 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 9-element Vector{Int64}: │ 1 │ 2 │ 19 │ 27 │ ⋮ │ 30 │ 31 │ 32 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 11-element Vector{Int64}: │ 1 │ 2 │ 3 │ 4 │ ⋮ │ 30 │ 31 │ 32 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 8-element Vector{Int64}: │ 1 │ 2 │ 27 │ 28 │ 29 │ 30 │ 31 │ 32 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 10-element Vector{Int64}: │ 1 │ 2 │ 3 │ 4 │ ⋮ │ 30 │ 31 │ 32 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 9-element Vector{Int64}: │ 1 │ 2 │ 19 │ 27 │ ⋮ │ 30 │ 31 │ 32 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 10-element Vector{Int64}: │ 1 │ 2 │ 3 │ 4 │ ⋮ │ 30 │ 31 │ 32 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 9-element Vector{Int64}: │ 1 │ 2 │ 15 │ 27 │ ⋮ │ 30 │ 31 │ 32 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 10-element Vector{Int64}: │ 1 │ 2 │ 3 │ 4 │ ⋮ │ 30 │ 31 │ 32 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 8-element Vector{Int64}: │ 1 │ 2 │ 27 │ 28 │ 29 │ 30 │ 31 │ 32 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 11-element Vector{Int64}: │ 1 │ 2 │ 3 │ 4 │ ⋮ │ 30 │ 31 │ 32 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 9-element Vector{Int64}: │ 1 │ 2 │ 15 │ 27 │ ⋮ │ 30 │ 31 │ 32 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 10-element Vector{Int64}: │ 1 │ 2 │ 3 │ 4 │ ⋮ │ 30 │ 31 │ 32 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 8-element Vector{Int64}: │ 1 │ 2 │ 27 │ 28 │ 29 │ 30 │ 31 │ 32 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 11-element Vector{Int64}: │ 1 │ 2 │ 3 │ 4 │ ⋮ │ 30 │ 31 │ 32 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 9-element Vector{Int64}: │ 1 │ 2 │ 15 │ 27 │ ⋮ │ 30 │ 31 │ 32 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 10-element Vector{Int64}: │ 1 │ 2 │ 3 │ 4 │ ⋮ │ 30 │ 31 │ 32 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 8-element Vector{Int64}: │ 1 │ 2 │ 27 │ 28 │ 29 │ 30 │ 31 │ 32 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 11-element Vector{Int64}: │ 1 │ 2 │ 3 │ 4 │ ⋮ │ 30 │ 31 │ 32 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 9-element Vector{Int64}: │ 1 │ 2 │ 15 │ 27 │ ⋮ │ 30 │ 31 │ 32 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 10-element Vector{Int64}: │ 1 │ 2 │ 3 │ 4 │ ⋮ │ 30 │ 31 │ 32 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 8-element Vector{Int64}: │ 1 │ 2 │ 27 │ 28 │ 29 │ 30 │ 31 │ 32 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 11-element Vector{Int64}: │ 1 │ 2 │ 3 │ 4 │ ⋮ │ 30 │ 31 │ 32 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 9-element Vector{Int64}: │ 1 │ 2 │ 15 │ 27 │ ⋮ │ 30 │ 31 │ 32 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 10-element Vector{Int64}: │ 1 │ 2 │ 3 │ 4 │ ⋮ │ 30 │ 31 │ 32 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 8-element Vector{Int64}: │ 1 │ 2 │ 27 │ 28 │ 29 │ 30 │ 31 │ 32 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 11-element Vector{Int64}: │ 1 │ 2 │ 3 │ 4 │ ⋮ │ 30 │ 31 │ 32 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 9-element Vector{Int64}: │ 1 │ 2 │ 15 │ 27 │ ⋮ │ 30 │ 31 │ 32 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 10-element Vector{Int64}: │ 1 │ 2 │ 3 │ 4 │ ⋮ │ 30 │ 31 │ 32 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 8-element Vector{Int64}: │ 1 │ 2 │ 27 │ 28 │ 29 │ 30 │ 31 │ 32 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 11-element Vector{Int64}: │ 1 │ 2 │ 3 │ 4 │ ⋮ │ 30 │ 31 │ 32 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 9-element Vector{Int64}: │ 1 │ 2 │ 15 │ 27 │ ⋮ │ 30 │ 31 │ 32 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 10-element Vector{Int64}: │ 1 │ 2 │ 3 │ 4 │ ⋮ │ 30 │ 31 │ 32 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 8-element Vector{Int64}: │ 1 │ 2 │ 27 │ 28 │ 29 │ 30 │ 31 │ 32 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 11-element Vector{Int64}: │ 1 │ 2 │ 3 │ 4 │ ⋮ │ 30 │ 31 │ 32 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 9-element Vector{Int64}: │ 1 │ 2 │ 15 │ 27 │ ⋮ │ 30 │ 31 │ 32 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 10-element Vector{Int64}: │ 1 │ 2 │ 3 │ 4 │ ⋮ │ 30 │ 31 │ 32 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 8-element Vector{Int64}: │ 1 │ 2 │ 27 │ 28 │ 29 │ 30 │ 31 │ 32 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 11-element Vector{Int64}: │ 1 │ 2 │ 3 │ 4 │ ⋮ │ 30 │ 31 │ 32 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 9-element Vector{Int64}: │ 1 │ 2 │ 15 │ 27 │ ⋮ │ 30 │ 31 │ 32 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 11-element Vector{Int64}: │ 1 │ 2 │ 3 │ 4 │ ⋮ │ 30 │ 31 │ 32 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 9-element Vector{Int64}: │ 1 │ 2 │ 15 │ 27 │ ⋮ │ 30 │ 31 │ 32 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 12-element Vector{Int64}: │ 1 │ 2 │ 3 │ 4 │ ⋮ │ 30 │ 31 │ 32 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 9-element Vector{Int64}: │ 1 │ 2 │ 15 │ 27 │ ⋮ │ 30 │ 31 │ 32 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 11-element Vector{Int64}: │ 1 │ 2 │ 3 │ 4 │ ⋮ │ 30 │ 31 │ 32 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 9-element Vector{Int64}: │ 1 │ 2 │ 15 │ 27 │ ⋮ │ 30 │ 31 │ 32 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 12-element Vector{Int64}: │ 1 │ 2 │ 3 │ 4 │ ⋮ │ 30 │ 31 │ 32 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 9-element Vector{Int64}: │ 1 │ 2 │ 15 │ 27 │ ⋮ │ 30 │ 31 │ 32 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 11-element Vector{Int64}: │ 1 │ 2 │ 3 │ 4 │ ⋮ │ 30 │ 31 │ 32 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 kind diag, method kmeans ┌ Warning: Variances had to be floored │ ind = │ 2-element Vector{Int64}: │ 3 │ 32 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 2-element Vector{Int64}: │ 17 │ 26 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 1-element Vector{Int64}: │ 27 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 5-element Vector{Int64}: │ 7 │ 9 │ 14 │ 18 │ 32 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 3-element Vector{Int64}: │ 1 │ 17 │ 27 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 4-element Vector{Int64}: │ 8 │ 9 │ 26 │ 32 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 2-element Vector{Int64}: │ 7 │ 14 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 3-element Vector{Int64}: │ 1 │ 23 │ 27 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 4-element Vector{Int64}: │ 9 │ 17 │ 26 │ 32 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 1-element Vector{Int64}: │ 7 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 4-element Vector{Int64}: │ 1 │ 8 │ 18 │ 27 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 3-element Vector{Int64}: │ 9 │ 14 │ 26 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 3-element Vector{Int64}: │ 7 │ 17 │ 32 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 2-element Vector{Int64}: │ 1 │ 27 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 3-element Vector{Int64}: │ 9 │ 23 │ 26 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 4-element Vector{Int64}: │ 7 │ 8 │ 17 │ 32 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 3-element Vector{Int64}: │ 1 │ 18 │ 27 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 3-element Vector{Int64}: │ 9 │ 14 │ 26 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 2-element Vector{Int64}: │ 7 │ 32 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 3-element Vector{Int64}: │ 1 │ 17 │ 27 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 5-element Vector{Int64}: │ 8 │ 9 │ 18 │ 23 │ 26 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 1-element Vector{Int64}: │ 7 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 3-element Vector{Int64}: │ 1 │ 27 │ 32 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 4-element Vector{Int64}: │ 9 │ 14 │ 17 │ 26 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 2-element Vector{Int64}: │ 7 │ 18 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 3-element Vector{Int64}: │ 1 │ 27 │ 32 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 2-element Vector{Int64}: │ 9 │ 26 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 3-element Vector{Int64}: │ 14 │ 17 │ 23 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 4-element Vector{Int64}: │ 1 │ 7 │ 27 │ 32 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 2-element Vector{Int64}: │ 9 │ 18 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 3-element Vector{Int64}: │ 8 │ 17 │ 26 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 6-element Vector{Int64}: │ 1 │ 7 │ 14 │ 19 │ 27 │ 32 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 1-element Vector{Int64}: │ 9 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 6-element Vector{Int64}: │ 1 │ 7 │ 17 │ 18 │ 27 │ 32 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 5-element Vector{Int64}: │ 8 │ 9 │ 14 │ 19 │ 26 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 1-element Vector{Int64}: │ 23 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 3-element Vector{Int64}: │ 1 │ 7 │ 32 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 3-element Vector{Int64}: │ 9 │ 17 │ 27 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 3-element Vector{Int64}: │ 8 │ 18 │ 26 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 5-element Vector{Int64}: │ 1 │ 7 │ 19 │ 23 │ 32 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 2-element Vector{Int64}: │ 9 │ 14 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 2-element Vector{Int64}: │ 17 │ 27 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 3-element Vector{Int64}: │ 1 │ 18 │ 32 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 4-element Vector{Int64}: │ 7 │ 8 │ 9 │ 19 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 9-element Vector{Int64}: │ 7 │ 8 │ 9 │ 14 │ ⋮ │ 23 │ 26 │ 27 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 6-element Vector{Int64}: │ 1 │ 7 │ 8 │ 9 │ 19 │ 32 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 9-element Vector{Int64}: │ 7 │ 8 │ 9 │ 14 │ ⋮ │ 19 │ 26 │ 27 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 5-element Vector{Int64}: │ 7 │ 8 │ 9 │ 19 │ 23 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 10-element Vector{Int64}: │ 1 │ 7 │ 8 │ 9 │ ⋮ │ 26 │ 27 │ 32 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 5-element Vector{Int64}: │ 7 │ 8 │ 9 │ 18 │ 19 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 8-element Vector{Int64}: │ 7 │ 8 │ 9 │ 14 │ 19 │ 23 │ 26 │ 27 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 7-element Vector{Int64}: │ 1 │ 7 │ 8 │ 9 │ 17 │ 19 │ 32 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 ┌ Warning: Variances had to be floored │ ind = │ 7-element Vector{Int64}: │ 7 │ 8 │ 9 │ 14 │ 19 │ 26 │ 27 └ @ GaussianMixtures ~/.julia/packages/GaussianMixtures/lxCl5/src/train.jl:260 kind full, method split kind full, method kmeans Test Summary: | Broken Total Time train.jl | 1 1 12m01.6s Test Summary: | Pass Total Time ScikitLearnBase | 1 1 2.5s Testing GaussianMixtures tests passed Testing completed after 1179.13s PkgEval succeeded after 1315.85s